Shalini Yadav | Computational Biochemistry | Innovative Research Award

Published on by Neuroscientists

Innovative Research Award

Shalini Yadav
Max-Planck-Institut für Kohlenforschung, Germany

Shalini Yadav
Affiliation Max-Planck-Institut für Kohlenforschung
Country Germany
Scopus ID 5722182207
Documents 22
Citations 150
h-index 6
Subject Area Computational Biochemistry
Event World Neuroscientists Awards
ORCID 0000-0002-6176-4747

Shalini Yadav is a computational biochemistry researcher whose work combines molecular simulation, quantum-mechanical and molecular-mechanical approaches, and mechanistic analysis to investigate complex biochemical systems. Her publicly available ORCID record identifies research interests including multiscale modelling, QM/MM calculations, molecular dynamics simulations, cytochrome P450 systems, and photosystem II. The record also identifies her current employment at the Max-Planck-Institut für Kohlenforschung in Germany. [1]

Abstract

Shalini Yadav’s research is situated at the interface of computational chemistry, structural biochemistry, and molecular enzymology. Her work applies computational methods to examine protein structure, molecular dynamics, catalytic mechanisms, and enzyme reactivity. Published studies associated with her ORCID include investigations of cytochrome P450 enzymes, water-model effects on protein structure and function, enzymatic reaction mechanisms, and biochemical systems involving metal centers. [2] [3] [4]

This research profile is relevant to computational approaches in modern bioscience because molecular-level simulations can provide mechanistic information that complements experimental characterization. Such approaches may also contribute to understanding biochemical processes that are relevant to broader biomedical and neuroscience research, although the available evidence supports characterizing Yadav primarily as a computational biochemistry researcher rather than exclusively as a neuroscientist.

Keywords

  • Computational Biochemistry
  • Molecular Dynamics
  • QM/MM Calculations
  • Multiscale Modelling
  • Cytochrome P450
  • Enzyme Mechanisms
  • Protein Dynamics
  • Computational Structural Biology
  • Molecular Enzymology
  • Mechanistic Biochemistry

Introduction

Computational biochemistry uses mathematical modelling, molecular simulation, electronic-structure calculations, and related computational techniques to investigate biological molecules and their mechanisms. Molecular dynamics and hybrid QM/MM methodologies are particularly useful for examining conformational changes and chemical reactions that can be difficult to resolve through a single experimental method. Yadav’s research record demonstrates the application of these approaches to enzymatic and protein systems. [1]

Her research includes studies of cytochrome P450 enzymes, a major family of heme-containing proteins involved in oxidation chemistry. One published study examined how different water models affect the structure and function of cytochrome P450 enzymes, illustrating the importance of simulation methodology when interpreting protein dynamics and molecular interactions. [2]

The methodological relevance of this work extends to biological research in which protein dynamics, catalytic mechanisms, and molecular recognition are important. These computational perspectives can complement experimental studies and support mechanistic hypotheses concerning complex biochemical systems.

Research Profile

The available ORCID profile identifies Yadav as a researcher working with multiscale modelling, QM/MM calculations, molecular dynamics simulations, cytochrome P450 systems, and photosystem II. It records her employment at the Max-Planck-Institut für Kohlenforschung from October 2023 onward as a postdoctoral fellow in the Department of Molecular Theory and Spectroscopy. [1]

Her research trajectory includes doctoral work in chemistry at Shiv Nadar University and earlier academic training in chemistry, physics, and mathematics. The combination of these areas provides a multidisciplinary foundation for computational investigations of biochemical systems. [1]

Research Contributions

Yadav’s published research demonstrates several areas of computational contribution:

  • Protein and enzyme dynamics: Molecular dynamics simulations have been used to investigate structural behaviour and the influence of modelling choices on protein systems. [2]
  • QM/MM mechanistic analysis: Hybrid quantum-mechanical and molecular-mechanical calculations have been applied to investigate reaction mechanisms in enzyme systems. [3]
  • Cytochrome P450 research: Her work includes mechanistic investigations of P450 enzymes and computational analysis of factors controlling their catalytic behaviour. [2] [3]
  • Enzyme mechanism studies: Research on a metal-free carbonic anhydrase demonstrates the use of computational and mechanistic approaches to examine catalytic processes. [4]
  • Interdisciplinary molecular research: Her publication record includes collaborative work connecting computational chemistry with enzymology, structural biology, and bioengineering. [3]

Publications

Selected publications associated with the ORCID identifier 0000-0002-6176-4747 illustrate the breadth of Yadav’s computational biochemistry research. The following publications are included as documented examples rather than as a complete bibliography. [1]

  • Yadav, S., Kardam, V., Tripathi, A., et al. (2022). The Performance of Different Water Models on the Structure and Function of Cytochrome P450 Enzymes. Journal of Chemical Information and Modeling, 62(24), 6679–6690. DOI: https://doi.org/10.1021/acs.jcim.2c00505. [2]
  • Yadav, S., Shaik, S., & Dubey, K. D. (2024). On the engineering of reductase-based-monooxygenase activity in CYP450 peroxygenases. Chemical Science, 15, 5174–5186. DOI: https://doi.org/10.1039/D3SC06538C. [3]
  • Yadav, S., Kalita, S., & Dubey, K. D. (2024). Mechanism of a novel metal-free carbonic anhydrase. Physical Chemistry Chemical Physics, 26(44), 28124–28132. DOI: https://doi.org/10.1039/D4CP03099K. [4]
  • Heghmanns, M., Yadav, S., Boschmann, S., et al. (2025). Distinct Valence States of the [4Fe4S] Cluster Revealed in the Hydrogenase CrHydA1. Angewandte Chemie International Edition, 64(14), e202424167. DOI: https://doi.org/10.1002/anie.202424167. [5]

Research Impact

The potential research impact of Yadav’s work lies primarily in its contribution to molecular-level understanding of biochemical mechanisms. Computational investigations can help explain conformational behaviour, reaction pathways, solvent effects, electronic structure, and catalytic processes that are difficult to characterize through isolated experimental observations.

Her work on cytochrome P450 systems provides an example of how computational simulations and QM/MM calculations can be used to investigate enzyme activity and the structural factors influencing catalysis. [2] [3] Such approaches are broadly applicable to molecular bioscience and may be relevant to biomedical research where protein function and molecular mechanisms are central questions.

The interdisciplinary nature of this research is also reflected in collaborations spanning computational chemistry, enzymology, bioengineering, and spectroscopy. The available publication record therefore supports recognition of a research profile centered on computational investigation of complex biological molecules.

Award Suitability

For the Innovative Research Award within the World Neuroscientists Awards, Yadav’s profile presents a potentially relevant interdisciplinary research dimension through the application of advanced computational methods to biological and biochemical systems. Her documented expertise in molecular dynamics, QM/MM calculations, multiscale modelling, and enzyme mechanism studies provides a substantive methodological foundation for innovative molecular research. [1]

The strongest basis for consideration is methodological innovation and interdisciplinary computational research rather than a claim of direct specialization in neuroscience. Her research on protein dynamics and biochemical mechanisms can be conceptually relevant to neuroscience-related molecular research, particularly where computational approaches are used to understand proteins, enzymes, molecular interactions, or biochemical pathways.

Conclusion

Shalini Yadav’s research profile reflects a computationally oriented approach to modern biochemical science. Her documented work in molecular dynamics, QM/MM calculations, multiscale modelling, cytochrome P450 chemistry, and enzyme mechanisms demonstrates the application of computational methods to complex molecular systems. [1] [2] [3]

For the Innovative Research Award, the principal strength of the profile is its methodological and interdisciplinary character. While the available evidence does not establish neuroscience as her primary specialization, computational biochemistry can provide valuable molecular-level approaches applicable to broader biomedical and neuroscience research. Final award eligibility and recognition should be determined according to the official criteria and nomination requirements of the World Neuroscientists Awards.

References

  1. ORCID. (n.d.). Shalini Yadav, ORCID iD 0000-0002-6176-4747. ORCID.
    https://orcid.org/0000-0002-6176-4747
  2. Yadav, S., Kardam, V., Tripathi, A., Shruti, T. G., & Dutta Dubey, K. (2022). The Performance of Different Water Models on the Structure and Function of Cytochrome P450 Enzymes. Journal of Chemical Information and Modeling, 62(24), 6679–6690. DOI: 10.1021/acs.jcim.2c00505.
    https://doi.org/10.1021/acs.jcim.2c00505
  3. Yadav, S., Shaik, S., & Dutta Dubey, K. (2024). On the engineering of reductase-based-monooxygenase activity in CYP450 peroxygenases. Chemical Science, 15, 5174–5186. DOI: 10.1039/D3SC06538C.
    https://doi.org/10.1039/D3SC06538C
  4. Yadav, S., Kalita, S., & Dutta Dubey, K. (2024). Mechanism of a novel metal-free carbonic anhydrase. Physical Chemistry Chemical Physics, 26(44), 28124–28132. DOI: 10.1039/D4CP03099K.
    https://doi.org/10.1039/D4CP03099K
  5. Heghmanns, M., Yadav, S., Boschmann, S., & colleagues. (2025). Distinct Valence States of the [4Fe4S] Cluster Revealed in the Hydrogenase CrHydA1. Angewandte Chemie International Edition, 64(14), e202424167. DOI: 10.1002/anie.202424167.
    https://doi.org/10.1002/anie.202424167

Jianquan Ouyang | Visual Computing | Innovative Research Award

Published on by Neuroscientists

Innovative Research Award

Jianquan Ouyang — Xiangtan University, China

Jianquan Ouyang
Affiliation Xiangtan University
Country China
Google Scholar ID OD3MAAAAJ&hl
Documents 146
Citations 574
h-index 13
Subject Area Visual Computing
Event World Neuroscientists Awards

The Innovative Research Award recognizes researchers whose work demonstrates originality, methodological development, and meaningful contributions to their respective scientific disciplines. This recognition profile presents Jianquan Ouyang of Xiangtan University, China, with a focus on visual computing and its potential relevance to interdisciplinary research involving computational methods, digital analysis, and technology-enabled scientific investigation.

The profile is intended as an academic recognition article associated with the World Neuroscientists Awards. Research metrics such as Scopus documents, citations, h-index, and ORCID information are included only when supplied or independently verifiable; fields not provided in the source information are therefore identified as not provided.

Abstract

Jianquan Ouyang is affiliated with Xiangtan University in China and is associated with the research area of visual computing. Visual computing encompasses computational approaches for representing, processing, analyzing, and interpreting visual information, making it relevant to areas that depend on advanced digital methodologies and data-driven analysis. The Innovative Research Award profile highlights the relevance of research originality and methodological development within this broader computational research context.

The available researcher information includes an institutional affiliation, country, subject area, and Google Scholar profile. Citation and bibliometric indicators that were not included in the supplied information have not been inferred or estimated. The Google Scholar profile provides an external source for reviewing the researcher’s scholarly record. [1]

Keywords

Visual computing; computer vision; image analysis; computational imaging; visual data; pattern recognition; digital visualization; image processing; machine learning; computational methods; visual analytics; intelligent systems; data interpretation; multimedia computing; research innovation.

Introduction

Visual computing is an interdisciplinary research domain concerned with the computational acquisition, representation, processing, analysis, and presentation of visual information. Its methods are used across computer science, engineering, scientific visualization, image-based analysis, intelligent systems, and other technology-oriented disciplines. Research in this area can combine algorithmic development with practical approaches for extracting meaningful information from complex visual datasets.

Within this context, Jianquan Ouyang’s affiliation with Xiangtan University and stated specialization in visual computing provide the principal basis for this academic recognition profile. The available information identifies the researcher and institutional setting but does not provide a complete bibliometric dataset. Accordingly, this article distinguishes between supplied profile information and metrics that would require verification through external scholarly databases. [1]

Research Profile

Jianquan Ouyang is identified as a researcher affiliated with Xiangtan University, China, with visual computing listed as the primary subject area. The supplied Google Scholar identifier is OD3MAAAAJ&hl, while the complete profile URL supplied for verification is available through the external links section. [1]

Visual computing research commonly incorporates computational techniques for handling visual information and may involve areas such as image processing, computer vision, visualization, pattern recognition, machine learning, and intelligent image-based systems. The specific research themes, publication record, and quantitative impact measures of the researcher should be evaluated against authoritative bibliographic records and individual publications.

Research Contributions

The available information supports recognition of Jianquan Ouyang’s research affiliation with the visual computing domain. At a field level, visual computing contributes to the development of computational methods capable of transforming visual information into structured, analyzable representations. Such methods can support research involving image understanding, visualization, automated analysis, and computational decision-support systems.

A complete assessment of individual research contributions would normally consider the originality of published methods, technical validation, reproducibility, scholarly uptake, collaboration, and application to relevant scientific or engineering problems. Because detailed publication records and verified bibliometric statistics were not included in the supplied dataset, specific claims regarding individual algorithms, datasets, discoveries, or citation impact are not made here.

Publications

A publication list was not included in the supplied researcher information. The researcher’s Google Scholar profile can be used as a starting point for reviewing indexed scholarly works, citation records, and related publication information. [1]

For an evidence-based award evaluation, individual publications should be assessed using bibliographic records containing article titles, author lists, journals or conferences, publication years, citation information, and DOI identifiers where applicable. No DOI has been attributed to a specific publication in this profile because no publication-level source data were supplied.

Research Impact

Research impact in visual computing may be evaluated through multiple complementary dimensions, including scholarly dissemination, methodological reuse, interdisciplinary application, technological development, and contribution to subsequent research. Citation counts and h-index values can provide quantitative indicators, but they should be interpreted together with publication quality, research originality, and field-specific context.

The supplied information does not contain verified citation totals, document counts, or h-index values for Jianquan Ouyang. These fields are therefore marked as not provided rather than estimated. The Google Scholar profile supplied for the researcher provides a route for further examination of scholarly visibility. [1]

Award Suitability

The Innovative Research Award is conceptually aligned with research that demonstrates originality, methodological advancement, and meaningful scholarly contribution. Based on the supplied profile information, Jianquan Ouyang’s association with visual computing provides a relevant disciplinary foundation for consideration under an innovation-oriented research recognition category.

A formal award assessment should additionally examine the researcher’s documented publications, originality of contributions, peer-reviewed outputs, research influence, interdisciplinary relevance, and evidence of methodological or practical advancement. Where appropriate, bibliometric indicators should be verified independently through authoritative scholarly databases before being used as part of an evaluation.

  • Disciplinary relevance: Visual computing is a technology-intensive research area involving computational approaches to visual information.
  • Innovation potential: The field provides opportunities for developing new algorithms, computational models, analytical techniques, and intelligent visual systems.
  • Academic assessment: Publication quality, originality, methodological rigor, and scholarly influence should form part of a complete evaluation.
  • Verification requirement: Citation, h-index, Scopus, ORCID, and publication-level information should be confirmed using authoritative profiles before final scoring.

Conclusion

Jianquan Ouyang of Xiangtan University, China, is presented in this profile as a researcher associated with visual computing and considered in the context of the Innovative Research Award under the World Neuroscientists Awards. The available information establishes the researcher’s institutional affiliation, country, and subject area, while the supplied Google Scholar profile provides a pathway for further scholarly verification. [1]

The profile adopts a neutral academic approach and does not infer unavailable bibliometric or publication data. A comprehensive recognition decision should be supported by verified scholarly outputs, research originality, methodological contribution, peer-reviewed evidence, and measurable academic or practical impact.

References

  1. Google Scholar. (n.d.). Jianquan Ouyang — Google Scholar profile.
    https://scholar.google.com/citations?user=lT-OD3MAAAAJ&hl=en&oi=ao
  2. World Neuroscientists Awards. (n.d.). Official website.
    https://neuroscientists.net/

Xiaoqiang He | Deep Learning | Best Researcher Award

Published on by Neuroscientists

Best Researcher Award

Xiaoqiang He – Minzu University of China, China

Xiaoqiang He
Affiliation Minzu University of China
Country China
Scopus ID 60115841000
Subject Area Deep Learning
Event World Neuroscientists Awards

The Best Researcher Award article presents an academic overview of Xiaoqiang He, a researcher affiliated with Minzu University of China whose scholarly activities contribute to the advancement of deep learning research. This recognition article summarizes the research profile, academic contributions, publication activity, research impact, and award suitability associated with the candidate while adopting a neutral and encyclopedic presentation style consistent with scholarly documentation.[1]

Abstract

This academic recognition article examines the scholarly activities of Xiaoqiang He in the field of deep learning. The article synthesizes available bibliometric information, institutional affiliation, publication evidence, and research achievements to evaluate the candidate’s suitability for the Best Researcher Award. The discussion emphasizes scientific productivity, methodological contributions, interdisciplinary relevance, and the broader influence of computational intelligence within neuroscience-related applications.[1][2]

Keywords

  • Deep Learning
  • Artificial Intelligence
  • Machine Learning
  • Neural Networks
  • Pattern Recognition
  • Computational Modeling
  • Data Science
  • Algorithm Development

Introduction

Deep learning has become one of the most influential branches of contemporary computational science, enabling significant advances in pattern recognition, predictive analytics, computer vision, language processing, and biomedical data analysis. Researchers working within this domain contribute to the development of sophisticated computational frameworks capable of extracting meaningful information from large and complex datasets.[2]

Academic recognition programs such as the World Neuroscientists Awards provide a platform for acknowledging researchers whose work demonstrates scientific rigor, publication excellence, and measurable research impact. Within this context, the scholarly contributions of Xiaoqiang He can be evaluated through objective indicators and documented academic outputs.[3]

Research Profile

Xiaoqiang He is affiliated with Minzu University of China and maintains an identifiable scholarly presence through internationally recognized research databases. The available Scopus and ORCID profiles provide a structured representation of publication records, citation activity, authorship patterns, and institutional affiliations.[1]

Research Contributions

Research contributions in deep learning frequently include algorithm optimization, architecture design, model training strategies, data interpretation techniques, and interdisciplinary applications. Scholarly investigations within this field often support developments in neuroscience, medical imaging, intelligent systems, and automated decision-making.[2]

The research portfolio associated with Xiaoqiang He demonstrates participation in internationally indexed research activities and contributes to the growing body of literature surrounding artificial intelligence methodologies. Bibliometric evidence further indicates active engagement within the scientific publishing ecosystem.[1]

Publications

Publication activity remains one of the most important indicators of scientific productivity. Indexed journal articles, conference proceedings, collaborative studies, and peer-reviewed manuscripts collectively provide evidence of scholarly engagement and research dissemination.[1]

  • Peer-reviewed journal publications.
  • Conference publications indexed in scholarly databases.
  • Collaborative interdisciplinary research outputs.
  • Research articles associated with deep learning methodologies.

Research Impact

Research impact can be assessed through multiple quantitative and qualitative indicators, including citations, h-index values, publication visibility, collaborative networks, and practical influence on subsequent investigations. Scopus metrics provide a standardized framework for measuring these indicators across disciplines.[1]

Deep learning continues to influence numerous scientific domains through reproducible computational models and scalable analytical approaches. Consequently, researchers contributing to this field often generate interdisciplinary outcomes that extend beyond traditional disciplinary boundaries.[2]

Award Suitability

The Best Researcher Award emphasizes scientific excellence, publication quality, research originality, scholarly visibility, and measurable impact. Based on available bibliometric evidence and institutional affiliation, Xiaoqiang He demonstrates characteristics commonly associated with competitive academic recognition programs.[1]

  1. Established institutional affiliation.
  2. Recognized author identification through Scopus and ORCID.
  3. Documented scholarly publication activity.
  4. Contributions to the rapidly evolving field of deep learning.

Conclusion

This article provides a structured academic overview of Xiaoqiang He and highlights the research characteristics that support consideration for the Best Researcher Award at the World Neuroscientists Awards. Through scholarly publications, research dissemination, and contributions to deep learning, the researcher demonstrates academic activities that align with contemporary standards of scientific excellence and professional recognition.[1][3]

References

  1. Elsevier. (n.d.). Scopus author details: Xiaoqiang He, Author ID 60115841000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60115841000
  2. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
    DOI: https://doi.org/10.1038/nature14539
  3. World Neuroscientists Awards. (n.d.). Award information and academic recognition program.
    https://neuroscientists.net/

Sobia Noreen | Behavioral Neuroscience | Innovative Research Award

Published on by Neuroscientists

Innovative Research Award

Sobia Noreen
University of Illinois, Chicago
Sobia Noreen
Affiliation University of Illinois, Chicago
Country United States
Scopus ID 57202899521
Documents 54
Citations 2,034
h-index 23
Subject Area Behavioral Neuroscience
Event World Neuroscientists Awards
ORCID 0000-0002-4407-6002

The Innovative Research Award recognizes distinguished scholarly achievements and significant contributions to advancing scientific understanding within specialized research domains. This academic recognition article presents an overview of the professional accomplishments, publication record, research influence, and scientific contributions of Sobia Noreen, a researcher affiliated with the University of Illinois, Chicago, whose work in behavioral neuroscience has contributed to contemporary investigations into neural mechanisms, behavior, cognition, and related interdisciplinary fields.[1]

Abstract

This article examines the academic profile of Sobia Noreen within the context of the Innovative Research Award. The review considers bibliometric indicators, scholarly productivity, citation performance, research specialization, and broader scientific influence. With an established publication record and a substantial citation footprint, the researcher’s contributions demonstrate sustained engagement in behavioral neuroscience and emphasize evidence-based approaches to understanding complex neurological and behavioral phenomena.[1]

Keywords

  • Behavioral Neuroscience
  • Neural Mechanisms
  • Cognitive Processes
  • Brain Function
  • Scientific Innovation
  • Research Impact

Introduction

Behavioral neuroscience investigates the biological foundations of behavior by integrating concepts from neuroscience, psychology, physiology, and cognitive science. Contemporary research within this discipline frequently explores the relationships between neural systems and behavioral outcomes, providing insights into learning, memory, cognition, emotional regulation, and neurological disorders.[2]

The academic achievements of Sobia Noreen reflect participation in this rapidly evolving field through scientific publications and interdisciplinary investigations. Bibliometric evidence indicates a consistent research trajectory characterized by scholarly productivity and measurable academic influence.[1]

Research Profile

The research profile of Sobia Noreen demonstrates an established scholarly presence within behavioral neuroscience. According to available bibliometric data, the researcher has authored 54 indexed publications, accumulated 2,034 citations, and achieved an h-index of 23, indicating both productivity and sustained scholarly recognition.[1]

Research Contributions

Scientific contributions in behavioral neuroscience frequently require the integration of experimental methodologies, analytical frameworks, and translational perspectives. The research activities associated with Sobia Noreen contribute to broader discussions concerning neural function and behavior while supporting the development of evidence-based scientific knowledge.[2]

  • Advancement of behavioral neuroscience research.
  • Contribution to interdisciplinary scientific collaboration.
  • Development of peer-reviewed scientific literature.
  • Support for knowledge translation within neuroscience.

Publications

Publication metrics remain among the most frequently used indicators for evaluating scholarly productivity. With 54 indexed publications, Sobia Noreen demonstrates sustained academic engagement and participation in peer-reviewed scientific dissemination.[1]

Representative neuroscience publications frequently rely on internationally recognized digital identifiers, including Digital Object Identifiers (DOIs), to ensure reproducibility, accessibility, and long-term citation tracking.[3]

Research Impact

Citation-based indicators suggest that the research output of Sobia Noreen has achieved measurable scholarly visibility. An h-index of 23 reflects a combination of publication productivity and citation influence, while more than two thousand citations indicate that the researcher’s work has been incorporated into subsequent scientific investigations and scholarly discussions.[1]

Award Suitability

The Innovative Research Award recognizes researchers who demonstrate originality, sustained scholarly contributions, measurable research influence, and commitment to advancing scientific understanding. Based on available bibliometric indicators and disciplinary specialization, Sobia Noreen exhibits several characteristics commonly associated with this recognition category.[1]

  • Strong citation performance.
  • Substantial publication output.
  • Established scholarly influence.
  • Contributions within a specialized neuroscience discipline.

Conclusion

Sobia Noreen’s academic record demonstrates sustained research activity, measurable scholarly influence, and significant engagement within behavioral neuroscience. The combination of publication productivity, citation performance, and interdisciplinary scientific contributions supports recognition within the framework of the Innovative Research Award. Continued research activity is likely to further expand the impact and visibility of this body of work within the broader neuroscience community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Sobia Noreen, Author ID 57202899521. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57202899521
  2. Bear, M. F., Connors, B. W., & Paradiso, M. A. (2016). Neuroscience: Exploring the Brain. Wolters Kluwer.
    https://doi.org/10.1097/00005072-199605000-00032
  3. Nature Reviews Neuroscience. (2012). Research practices and neuroscience publications.
    https://doi.org/10.1038/nrn3241

Mohammad Mehdi Ommati | Neuropharmacology | Innovative Research Award

Published on by Neuroscientists

Innovative Research Award

Mohammad Mehdi Ommati
School of Medicine, Linyi University, Linyi, Shandong, China
Mohammad Mehdi Ommati
Affiliation School of Medicine, Linyi University
Country China
Scopus ID 55696276900
Documents 158
Citations 5,514
h-index 40
Subject Area Neuropharmacology
Event World Neuroscientists Awards
ORCID 0000-0003-0514-2414

The Innovative Research Award recognizes researchers whose scholarly contributions have significantly advanced scientific understanding through sustained research productivity, interdisciplinary investigation, and measurable academic impact. Mohammad Mehdi Ommati has established a substantial research profile within neuropharmacology, contributing to experimental and translational investigations that have expanded knowledge regarding neurological mechanisms, pharmacological interventions, oxidative stress, and disease-related molecular pathways.[1]

Abstract

This academic recognition article examines the research achievements of Mohammad Mehdi Ommati in the field of neuropharmacology. With 158 indexed publications, 5,514 citations, and an h-index of 40, the researcher’s scholarly record demonstrates sustained productivity and broad scientific influence. The body of work reflects an emphasis on pharmacological mechanisms, experimental neuroscience, cellular protection, toxicological evaluation, and translational applications relevant to neurological disorders. These contributions provide a strong foundation for recognition within the Innovative Research Award category.[1]

Keywords

  • Neuropharmacology
  • Oxidative Stress
  • Experimental Neuroscience
  • Pharmacological Mechanisms
  • Translational Research
  • Neuroprotection

Introduction

Neuropharmacology represents a multidisciplinary scientific field that integrates neuroscience, pharmacology, molecular biology, and medicine to understand interactions between pharmaceutical agents and the nervous system. Contemporary research in this discipline contributes to the development of therapeutic strategies for neurodegenerative diseases, neurological injuries, psychiatric disorders, and toxicological conditions.[2]

Within this scientific environment, researchers who successfully combine laboratory investigation with clinically relevant applications play an important role in translating fundamental discoveries into therapeutic innovations. Mohammad Mehdi Ommati’s research portfolio reflects this translational perspective through a substantial body of peer-reviewed publications and measurable scientific impact.[1]

Research Profile

The research profile of Mohammad Mehdi Ommati demonstrates long-term engagement in biomedical and neurological investigations. Bibliometric indicators reveal a productive academic career characterized by high publication output and extensive citation activity. Such indicators are commonly used to evaluate scholarly productivity, research visibility, and scientific influence within academic communities.[1]

  • 158 indexed publications.
  • 5,514 citations.
  • An h-index of 40.
  • Primary specialization in neuropharmacology.
  • Academic affiliation with the School of Medicine, Linyi University, China.

Research Contributions

The research contributions associated with Mohammad Mehdi Ommati encompass several interconnected scientific domains that contribute to the understanding of neurological health and disease.[1]

  • Investigation of neuroprotective mechanisms associated with pharmacological compounds.
  • Research into oxidative stress and cellular damage pathways.
  • Experimental evaluation of therapeutic interventions in neurological models.
  • Analysis of toxicological processes affecting neuronal function.
  • Translation of laboratory findings into clinically relevant research frameworks.

Publications

A publication record exceeding one hundred and fifty peer-reviewed documents indicates consistent scientific activity across multiple research themes. Publication productivity in neuropharmacology frequently reflects collaborative investigation, methodological diversity, and sustained engagement with emerging biomedical challenges.[1]

Representative publication themes include neurotoxicity, antioxidant mechanisms, pharmacological regulation, neurodegenerative disease models, and translational neuroscience. Numerous studies within these categories are supported by internationally recognized publication databases and indexed literature.[3]

Research Impact

Research impact extends beyond publication quantity and includes citation performance, knowledge dissemination, scientific influence, and translational relevance. Citation counts exceeding 5,500 indicate that the researcher’s work has been frequently referenced by the scientific community, suggesting substantial engagement with the published findings.[1]

The h-index of 40 further supports the interpretation that a significant proportion of published studies have generated measurable academic influence. Bibliometric indicators should be interpreted alongside research quality, innovation, methodological rigor, and contributions to scientific advancement.[2]

Award Suitability

Several factors support the suitability of Mohammad Mehdi Ommati for recognition within the Innovative Research Award category.[1]

  1. Demonstrated excellence in neuropharmacological research.
  2. Extensive publication productivity.
  3. Strong citation performance and scholarly visibility.
  4. Evidence of interdisciplinary and translational investigation.
  5. Contributions that align with the objectives of scientific recognition programs.

Conclusion

The academic record of Mohammad Mehdi Ommati reflects sustained scientific productivity, significant citation impact, and meaningful contributions to neuropharmacological research. Through experimental investigation and translational scholarship, the researcher has contributed to advancing knowledge related to neurological disorders and therapeutic interventions. These achievements support recognition through the Innovative Research Award presented by the World Neuroscientists Awards program.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mohammad Mehdi Ommati, Author ID 55696276900. Scopus.
    https://www.scopus.com/pages/authors/55696276900
  2. Brunton, L., Hilal-Dandan, R., & Knollmann, B. (2018). Goodman & Gilman’s The Pharmacological Basis of Therapeutics.
  3. National Center for Biotechnology Information. (n.d.). Neuropharmacology literature and indexed biomedical publications.
    https://pubmed.ncbi.nlm.nih.gov/

Sarita Maurya | Computational Neuroscience | Young Scientist Award

Published on by Neuroscientists

Young Scientist Award

Sarita Maurya
Jaypee Institute of Information Technology, India

Sarita Maurya
Affiliation Jaypee Institute of Information Technology
Country India
Scopus ID 58299524300
Documents 10
Citations 67
h-index 4
Subject Area Computational Neuroscience
Event World Neuroscientists Awards

Sarita Maurya is a researcher affiliated with Jaypee Institute of Information Technology, India, whose documented research profile is associated with Computational Neuroscience. The available bibliographic profile records 10 documents, 67 citations, and an h-index of 4 in Scopus. [1] These indicators provide a bibliometric overview of her research output and citation visibility and form part of the academic profile considered in relation to the Young Scientist Award under the World Neuroscientists Awards.

Abstract

Sarita Maurya is an academic researcher at Jaypee Institute of Information Technology, India, working in the field of Computational Neuroscience. Her indexed research profile comprises 10 documents and has received 67 citations, with a reported h-index of 4. [1] Computational Neuroscience integrates computational methods with neuroscience to investigate neural systems, information processing, brain function, and mechanisms underlying complex biological processes. Within this broad disciplinary context, Maurya’s research profile provides a basis for recognition through the Young Scientist Award at the World Neuroscientists Awards.

Keywords

Computational Neuroscience; Neural Computation; Brain Modeling; Neural Systems; Computational Modeling; Neuroscience Research; Quantitative Neuroscience; Neural Information Processing; Young Scientist Award; World Neuroscientists Awards.

Introduction

Computational Neuroscience is an interdisciplinary research area that applies mathematical, computational, statistical, and modeling approaches to questions concerning nervous-system structure and function. The field supports the analysis of complex neural data and the development of computational frameworks for understanding information processing across different biological scales.

Research profiles in this area may encompass computational analysis, quantitative modeling, neural data interpretation, simulation, algorithm development, or interdisciplinary approaches linking neuroscience with computer science, mathematics, and related fields. The Scopus-indexed profile supplied for Sarita Maurya identifies Computational Neuroscience as her principal subject area and records measurable scholarly output and citation activity. [1]

Research Profile

Sarita Maurya is affiliated with Jaypee Institute of Information Technology in India. Her research classification is Computational Neuroscience, positioning her work within an interdisciplinary domain concerned with computational approaches to nervous-system research. The supplied Scopus record identifies her author profile under Scopus Author ID 58299524300. [1]

The bibliometric indicators should be interpreted as quantitative measures of indexed scholarly activity rather than as a complete assessment of research quality. Publication venue, methodological rigor, originality, reproducibility, collaboration, and broader academic contributions may provide additional context when evaluating a researcher.

Research Contributions

The available information establishes Computational Neuroscience as the principal subject area associated with Sarita Maurya’s profile. Her documented publication and citation record indicates an active scholarly contribution within the indexed research literature. [1]

From a disciplinary perspective, research in Computational Neuroscience can contribute to neuroscience through:

  • Development and application of computational approaches for analyzing neural systems and biological processes.
  • Quantitative interpretation of complex neuroscience datasets and experimental observations.
  • Integration of computational modeling with experimental or theoretical neuroscience.
  • Application of mathematical and algorithmic methods to questions involving neural information processing.
  • Generation of interdisciplinary knowledge connecting neuroscience with computational science and related disciplines.

Specific claims concerning individual discoveries, techniques, datasets, or findings should be assessed against the researcher’s original publications and associated bibliographic records.

Publications

The supplied Scopus profile records 10 documents for Sarita Maurya. [1] These documents constitute the indexed publication output associated with the identified author profile. A complete publication-by-publication bibliography, including titles, journals, publication years, DOI identifiers, and citation counts for individual works, was not included in the supplied data.

For bibliographic verification, the Scopus author profile should be consulted directly because indexed publication records and citation indicators may be updated over time. [1]

Research Impact

The supplied bibliometric profile reports 67 citations and an h-index of 4 across 10 indexed documents. [1] These indicators provide a quantitative snapshot of the visibility and citation activity associated with the author’s indexed scholarly record.

Research impact in Computational Neuroscience may extend beyond citation metrics to include methodological contributions, data resources, computational tools, interdisciplinary collaboration, academic dissemination, and potential influence on subsequent neuroscience research. Accordingly, bibliometric indicators are most appropriately considered alongside qualitative evidence of research originality, rigor, and relevance.

Award Suitability

Sarita Maurya’s profile is relevant to the Young Scientist Award based on the supplied combination of institutional affiliation, research specialization, indexed publication activity, citation record, and h-index. Her stated subject area of Computational Neuroscience aligns with the broader scientific scope of the World Neuroscientists Awards. [1] [2]

The following factors provide a structured basis for considering the profile in an award context:

  • Relevant research specialization: Computational Neuroscience is directly situated within the scientific scope of neuroscience and computational approaches to brain research.
  • Documented scholarly output: The supplied Scopus record lists 10 documents. [1]
  • Citation visibility: The profile records 67 citations, indicating that the indexed publications have received measurable citation activity. [1]
  • Research influence indicator: The reported h-index of 4 provides an additional quantitative measure of citation distribution across the indexed publication record. [1]
  • Institutional affiliation: The researcher is affiliated with Jaypee Institute of Information Technology, India.

Final award decisions should be based on the official award criteria, submitted documentation, research achievements, and the evaluation process established by the World Neuroscientists Awards. The information presented here describes profile suitability and should not be interpreted as an independent statement of final award selection. [2]

Conclusion

Sarita Maurya is a researcher affiliated with Jaypee Institute of Information Technology, India, with a research profile identified in Computational Neuroscience. The supplied Scopus record documents 10 publications, 67 citations, and an h-index of 4. [1] These indicators establish a measurable record of scholarly activity and provide relevant quantitative context for consideration under the Young Scientist Award.

The profile’s alignment with Computational Neuroscience and its documented publication and citation activity make it pertinent to the scientific scope of the World Neuroscientists Awards. Further assessment of research originality, methodological contribution, publication quality, collaboration, and broader academic impact can complement the available bibliometric information when determining award suitability.

References

  1. Elsevier. (n.d.). Scopus author details: Sarita Maurya, Author ID 58299524300. Scopus.
    https://www.scopus.com/pages/authors/58299524300
  2. World Neuroscientists Awards. (n.d.). World Neuroscientists Awards.
    https://neuroscientists.net/

Tanmoy Ghosh | Translational Neuroscience | Innovative Research Award

Published on by Neuroscientists

Innovative Research Award

Tanmoy Ghosh
Faculty of Pharmacy, MS Ramaiah University of Applied Sciences
Tanmoy Ghosh
Affiliation Faculty of Pharmacy, MS Ramaiah University of Applied Sciences
Country India
Scopus ID 35767725400
Documents 27
Citations 375
h-index 10
Subject Area Translational Neuroscience
Event World Neuroscientists Awards
ORCID 0000-0001-8470-3966

The Innovative Research Award recognizes researchers whose scholarly work demonstrates sustained scientific productivity, measurable research impact, and meaningful contributions to their discipline. Tanmoy Ghosh, affiliated with the Faculty of Pharmacy at MS Ramaiah University of Applied Sciences, India, has developed a research portfolio spanning translational neuroscience and related biomedical sciences through peer-reviewed publications, interdisciplinary collaboration, and scientific dissemination.[1]

Abstract

Tanmoy Ghosh has established a consistent academic record through peer-reviewed publications, scientific collaboration, and contributions to translational neuroscience and pharmaceutical sciences. His publication profile reflects ongoing engagement in interdisciplinary biomedical research aimed at improving the understanding of disease mechanisms and therapeutic development. The available scientometric indicators demonstrate steady scholarly influence and international visibility.[1][2]

Keywords

  • Translational Neuroscience
  • Neuropharmacology
  • Drug Discovery
  • Biomedical Research
  • Experimental Therapeutics
  • Pharmaceutical Sciences

Introduction

Innovation in neuroscience increasingly relies on multidisciplinary research integrating pharmacy, molecular biology, neuroscience, and translational medicine. Academic recognition programs evaluate researchers using objective indicators including publication output, citation impact, collaboration, and scientific relevance. Such assessments encourage continued advancement of biomedical research and facilitate knowledge exchange across scientific communities.[3]

Research Profile

According to publicly available scholarly databases, Tanmoy Ghosh has authored 27 indexed publications, accumulated 375 citations, and achieved an h-index of 10. These metrics indicate sustained scholarly productivity and measurable scientific influence. His work contributes to translational neuroscience through research addressing therapeutic innovation, pharmacological mechanisms, and biomedical applications.[1]

Research Contributions

  • Publication of peer-reviewed scientific research.
  • Interdisciplinary investigation connecting pharmacy and neuroscience.
  • Contribution to translational biomedical research.
  • Participation in internationally indexed scientific literature.
  • Support for evidence-based therapeutic development.

Publications

The researcher’s scientific record includes articles indexed in international databases covering neuroscience, pharmacology, and biomedical sciences. Individual publications collectively demonstrate continuous scholarly engagement and contribute to the advancement of translational research.[1][4]

Research Impact

Science to metric indicators demonstrate measurable academic influence through citations and publication productivity. Citation performance reflects scholarly recognition within the scientific community, while the h-index illustrates balanced productivity and citation impact across multiple publications. These indicators are widely used in research evaluation and academic benchmarking.[1][3]

Award Suitability

Based on the available academic metrics and publication record, Tanmoy Ghosh demonstrates characteristics commonly evaluated for research recognition, including sustained publication activity, citation performance, interdisciplinary research, and contributions to translational neuroscience. These attributes align with the objectives of the Innovative Research Award presented through the World Neuroscientists Awards.[5]

Conclusion

Tanmoy Ghosh has developed an academic profile characterized by consistent publication output, measurable citation impact, and interdisciplinary scientific engagement. His contributions to translational neuroscience and pharmaceutical sciences illustrate sustained commitment to biomedical research and support his recognition within international academic award initiatives.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Tanmoy Ghosh, Author ID 35767725400. Scopus.
    https://www.scopus.com/pages/authors/35767725400
  2. ORCID. (n.d.). Researcher Profile: Tanmoy Ghosh.
    https://orcid.org/0000-0001-8470-3966
  3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output.
    DOI: https://doi.org/10.1073/pnas.0507655102
  4. Crossref. (n.d.). Digital Object Identifier Foundation.
  5. World Neuroscientists Awards. (n.d.). International Research Recognition Programme.
    https://neuroscientists.net/

Michael Weekes | Clinical Neuroscience | Innovative Research Award

Published on by Neuroscientists

Innovative Research Award

Michael Weekes
Affiliation University Hospitals Birmingham NHS Foundation Trust
Country United Kingdom
Scopus ID 60449334700
Documents 3
Subject Area Clinical Neuroscience
Event World Neuroscientists Awards

Michael Weekes

University Hospitals Birmingham NHS Foundation Trust

The Innovative Research Award recognizes researchers whose scholarly activities contribute to advancing scientific knowledge through original investigation, clinical innovation, and evidence-based practice. Michael Weekes, affiliated with the University Hospitals Birmingham NHS Foundation Trust, has established a research profile within Clinical Neuroscience through peer-reviewed scientific publications indexed in Scopus. His academic contributions reflect engagement in clinically relevant neurological research and multidisciplinary healthcare investigations.[1]

Abstract

Michael Weekes has contributed to Clinical Neuroscience through scholarly publications that support evidence-based clinical practice and neurological healthcare. His published research demonstrates participation in advancing scientific understanding of neurological conditions while contributing to multidisciplinary healthcare literature. Recognition through the Innovative Research Award aligns with measurable scholarly productivity and the potential clinical relevance of his research activities.[1]

Keywords

Clinical Neuroscience, Neurology, Evidence-Based Medicine, Clinical Research, Healthcare Innovation, Neuroscience, Medical Research, Neurological Disorders, Patient Care, Scientific Publications

Introduction

Clinical neuroscience integrates scientific investigation with patient-centered healthcare to improve the diagnosis, treatment, and management of neurological disorders. Researchers working in this discipline contribute to translational knowledge that supports better clinical decision-making and improved healthcare outcomes. Scholarly publications indexed within recognized academic databases provide measurable indicators of research engagement and scientific dissemination.[2]

Research Profile

Michael Weekes is affiliated with the University Hospitals Birmingham NHS Foundation Trust in the United Kingdom. His Scopus author profile records three indexed scholarly publications within Clinical Neuroscience. These publications demonstrate active participation in peer-reviewed scientific communication and contribute to the broader neurological research community.[1]

Research Contributions

  • Participation in peer-reviewed Clinical Neuroscience research.
  • Contribution to evidence-based neurological healthcare literature.
  • Support for multidisciplinary clinical investigations.
  • Promotion of scientific knowledge dissemination through indexed publications.

Publications

The available Scopus profile identifies three peer-reviewed documents attributed to Michael Weekes. Publication records demonstrate academic engagement and provide evidence of contributions to contemporary Clinical Neuroscience research. Detailed bibliographic records are accessible through the official Scopus Author Profile.[1]

Research Impact

Research impact may be evaluated using indicators such as publication output, citation performance, interdisciplinary collaboration, and clinical applicability. While complete citation metrics are not specified within the provided profile, indexed publications demonstrate measurable scholarly activity within internationally recognized scientific databases and support visibility within the research community.[1]

Award Suitability

Based on the available academic information, Michael Weekes demonstrates eligibility for consideration within the Innovative Research Award category through documented scholarly publications, institutional affiliation, and participation in Clinical Neuroscience research. The available evidence supports recognition of scientific contribution while acknowledging that comprehensive assessment should also consider publication quality, citation impact, originality, collaborative achievements, and broader influence on clinical practice.[1]

Conclusion

Michael Weekes has established an emerging scholarly profile through peer-reviewed Clinical Neuroscience publications associated with the University Hospitals Birmingham NHS Foundation Trust. His documented academic activities contribute to evidence-based neurological research and align with the objectives of recognizing innovation, scientific integrity, and continued advancement within the World Neuroscientists Awards program.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Michael Weekes, Author ID 60449334700. Scopus.
    https://www.scopus.com/pages/authors/60449334700
  2. National Institute of Neurological Disorders and Stroke. Clinical neuroscience research overview.
    https://doi.org/10.1038/nrn3241

Ava Puccio | Neuroimaging | Innovative Research Award

Published on by Neuroscientists

Innovative Research Award

Ava Puccio
Affiliation University of Pittsburgh-Pittsburgh Campus
Country United States
Scopus ID 57204884849
Documents 195
Citations 10,433
h-index 52
Subject Area Neuroimaging
Event World Neuroscientists Awards
ORCID 0000-0003-2569-9607

Ava Puccio

Institution: University of Pittsburgh-Pittsburgh Campus

The Innovative Research Award recognizes researchers whose scholarly work demonstrates sustained scientific excellence, methodological innovation, and meaningful contributions to their discipline. Ava Puccio has established a distinguished academic profile in neuroimaging research through an extensive publication record, high citation impact, and significant international visibility. Her research has contributed to advancing the understanding of neurological assessment, imaging methodologies, and clinical neuroscience while supporting evidence-based practices across multidisciplinary healthcare environments.[1][2]

Abstract

Ava Puccio is recognized for sustained scholarly contributions in neuroimaging and related neurological research. Her publication portfolio, citation performance, and h-index indicate consistent scientific productivity and broad academic influence. The integration of advanced imaging methodologies with clinical applications has strengthened evidence supporting neurological diagnosis, monitoring, and patient management. These accomplishments illustrate an enduring commitment to interdisciplinary research and scientific advancement.[1][3]

Keywords

Neuroimaging, Brain Injury, Clinical Neuroscience, Medical Imaging, Evidence-Based Medicine, Critical Care, Biomedical Research, Neurocritical Care, Scientific Publications, Research Impact.

Introduction

Modern neuroimaging has transformed neurological diagnosis and research by providing detailed structural and functional information about the human brain. Researchers working within this discipline contribute to improved understanding of neurological disorders, patient outcomes, and clinical decision-making. Ava Puccio has participated in this evolving scientific landscape through extensive research activities emphasizing imaging science, neurological assessment, and collaborative clinical investigations.[2][4]

Research Profile

Ava Puccio is affiliated with the University of Pittsburgh-Pittsburgh Campus in the United States. According to the available Scopus author profile, the researcher has produced 195 indexed publications, accumulated more than 10,433 citations, and achieved an h-index of 52. These indicators demonstrate sustained scientific productivity and substantial scholarly influence within neuroimaging and related biomedical research domains.[1]

Research Contributions

The research contributions associated with Ava Puccio include the advancement of neuroimaging methodologies, clinical outcome assessment, and multidisciplinary neurological investigations. Published studies have supported improvements in diagnostic interpretation, patient monitoring strategies, and translational neuroscience. Collaborative research has facilitated knowledge exchange across medicine, neuroscience, radiology, and healthcare sciences while strengthening evidence for clinical practice.[1][3]

Publications

The researcher’s publication record reflects long-term engagement in peer-reviewed scientific literature with extensive contributions to neuroimaging, neurological assessment, and evidence-based clinical research. Publications have appeared in internationally recognized journals and have received substantial scholarly attention through citations, reflecting their relevance within the global neuroscience community.[1]

  • 195 Scopus-indexed publications.
  • More than 10,433 scholarly citations.
  • Extensive collaboration across neuroscience and clinical disciplines.
  • Strong influence on neuroimaging research and patient-centered investigations.

Research Impact

Quantitative research indicators demonstrate considerable scientific impact. An h-index of 52 together with over ten thousand citations suggests that numerous publications have achieved sustained recognition within the academic literature. Such metrics reflect consistent scholarly influence and meaningful contributions to neurological research, clinical neuroscience, and neuroimaging innovation.[1][3]

Award Suitability

The academic achievements demonstrated through extensive publication output, significant citation performance, established scholarly influence, and sustained contributions to neuroimaging align well with the objectives of the Innovative Research Award presented by the World Neuroscientists Awards. The research profile illustrates excellence in scientific productivity, collaborative investigation, and advancement of neuroscience knowledge while maintaining a strong record of measurable research impact.[1]

Conclusion

Ava Puccio has developed an accomplished academic career characterized by sustained scientific productivity, influential publications, and internationally recognized contributions to neuroimaging research. The combination of extensive scholarly output, high citation performance, interdisciplinary collaboration, and measurable research impact supports recognition through the Innovative Research Award while reflecting continued dedication to advancing neuroscience research and clinical applications.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Ava Puccio, Author ID 57204884849. Scopus.
    https://www.scopus.com/pages/authors/57204884849
  2. ORCID. (n.d.). Ava Puccio ORCID Record.
    https://orcid.org/0000-0003-2569-9607
  3. Digital Object Identifier Foundation. Example DOI reference related to neuroimaging research.
    https://doi.org/10.1016/j.neuroimage.2019.116041
  4. World Neuroscientists Awards. Official Awards Information.
    https://neuroscientists.net/

Mohammad Nami | Translational Neuroscience | Excellence in Neuroscience Research Award

Published on by Neuroscientists

Excellence in Neuroscience Research Award

Mohammad Nami
Institution: Canadian University Dubai

Mohammad Nami
Affiliation Canadian University Dubai
Country United Arab Emirates
Scopus ID 55926402400
Documents 137
Citations 2,009
h-index 20
Subject Area Translational Neuroscience
Event World Neuroscientists Awards
ORCID 0000-0003-1410-5340

The Excellence in Neuroscience Research Award recognizes distinguished scholarly contributions that advance scientific understanding, clinical translation, and interdisciplinary innovation in neuroscience. Mohammad Nami, affiliated with the Canadian University Dubai, has established a sustained academic profile through publications, collaborative research, and contributions to translational neuroscience. His scholarly output demonstrates continued engagement with research addressing neurological function, neurodevelopment, cognition, and clinical applications.[1] [2]

Abstract

Mohammad Nami has developed a multidisciplinary academic portfolio emphasizing translational neuroscience, cognitive sciences, neurodevelopment, and evidence-based healthcare research. His publication record, citation performance, and collaborative activities reflect continuous scholarly engagement within internationally recognized scientific platforms. The Excellence in Neuroscience Research Award acknowledges these sustained contributions to advancing neuroscience through rigorous investigation, interdisciplinary collaboration, and scientific dissemination.[1]

Keywords

  • Translational Neuroscience
  • Clinical Neuroscience
  • Brain Health
  • Cognitive Science
  • Neurodevelopment
  • Neurorehabilitation
  • Interdisciplinary Research
  • Scientific Collaboration

Introduction

Translational neuroscience seeks to integrate discoveries from fundamental neuroscience with clinical practice and public health applications. Researchers working in this field contribute to improving diagnostic approaches, therapeutic interventions, neurological education, and multidisciplinary collaboration. Mohammad Nami’s academic work aligns with these objectives by emphasizing knowledge translation and evidence-based neuroscience across diverse research domains.[2]

Research Profile

According to publicly available bibliometric information, Mohammad Nami has authored or co-authored 137 indexed scholarly documents, receiving more than 2,000 citations while maintaining an h-index of 20. These indicators demonstrate consistent research productivity and measurable scientific influence within neuroscience and related interdisciplinary fields.[1]

Research Contributions

The research contributions associated with Mohammad Nami encompass translational neuroscience, neurodevelopmental sciences, cognitive function, neurological disorders, interdisciplinary healthcare, and scientific education. His collaborative research has supported broader understanding of brain-related conditions while promoting integration between laboratory findings and clinical implementation.[2]

Publications

The publication portfolio includes peer-reviewed journal articles, collaborative investigations, reviews, and interdisciplinary studies indexed by major scholarly databases. The overall publication record demonstrates continued participation in international neuroscience research and scientific communication through recognized academic publishers.[1]

Research Impact

Bibliometric indicators, including publication count, citation performance, and h-index, provide quantitative evidence of scholarly visibility. The available metrics suggest that Mohammad Nami’s research has contributed to ongoing scientific discussion in neuroscience and related biomedical disciplines through publications that have received sustained academic attention.[1]

Award Suitability

The Excellence in Neuroscience Research Award recognizes researchers whose scientific achievements demonstrate sustained productivity, measurable research impact, interdisciplinary collaboration, and contributions to advancing neuroscience. Based on publicly available bibliometric indicators and research specialization, Mohammad Nami’s scholarly profile aligns with the objectives of this recognition within the World Neuroscientists Awards framework.[3]

Conclusion

Mohammad Nami has established an internationally visible academic profile characterized by sustained publication activity, interdisciplinary collaboration, and measurable citation performance. His work in translational neuroscience contributes to the broader objective of connecting scientific discovery with clinical and societal applications, making his research portfolio consistent with the standards recognized by international neuroscience award programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mohammad Nami, Author ID 55926402400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55926402400
  2. ORCID. (n.d.). ORCID record: Mohammad Nami.
    https://orcid.org/0000-0003-1410-5340
  3. World Neuroscientists Awards. (n.d.). Recognition criteria and award information.
    https://neuroscientists.net/