Dongxia Zhu | Neurogenetics | Best Researcher Award

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Prof. Dongxia Zhu | Neurogenetics | Best Researcher Award

Prof. Dongxia Zhu | The Northeast Normal University | China

Prof. Dongxia Zhu is a full professor in the Department of Chemistry at Northeast Normal University, specializing in functional organic and polymeric photoelectric materials and devices. She earned her Ph.D. in Chemistry under the supervision of Prof. Zhong-Min Su at NENU and pursued joint doctoral research at Jilin University under Prof. Yue Wang. She also served as an academic visitor at Durham University, UK, collaborating with Prof. Martin R. Bryce and Prof. Todd B. Marder. Prof. Zhu has conducted extensive research on the design and development of high-performance luminescent materials, leading to the creation of highly selective and sensitive fluorescent and phosphorescent probes applied in photodynamic cancer therapy, biological imaging, and luminescence sensing. She has completed 12 research projects, published 50 SCI-indexed papers, authored one book chapter, and holds 12 patents. Her scholarly work has achieved 4,574 citations across 3,698 documents, with 123 publications and an h-index of 38. Prof. Zhu is an active member of the Chinese Chemical Society, contributing significantly to advancements in luminescent materials and their biomedical and photoelectric applications.

Profile: Scopus

Featured Publications

Wang, Z., Li, Y., Zhang, H., Jiang, N., Xu, J., Zhu, D., & Bryce, M. R. (2025). Non-traditional luminescent polyurethanes of n–π electron hybrid structures with varying separation of aromatic rings. ACS Applied Polymer Materials, 7(18), 12337–12344.


Zhu, D., Chen, X., Wang, J., & Li, Q. (2025). A new strategy enabling combined fluorescence imaging of individual tuberculous granulomas and precise photothermal therapy of tuberculosis with lesion- and pathogen-targeting capabilities of the nanoparticles. Note, Open Access.


Wang, Z., Wang, W., Wu, Q., & Zhu, D. (2025). Constructing 1 + 1 > 2 photosensitizers based on NIR cyanine–iridium(III) complexes for enhanced photodynamic cancer therapy. Molecules, 30(12), 2662.


Sun, Y., Tang, Y., Zhang, L., Zhao, H., Wang, Z., & Zhu, D. (2025). Self-assembly versus coassembly: An amphiphilic NIR-II aggregation-induced emission luminogen for phototheranostics of orthotopic glioblastoma. Journal of Medicinal Chemistry.


Wang, Z., Liu, Y., Zhao, L., Tang, Y., & Zhu, D. (2025). Endogenous near-infrared chemiluminescence: Imaging-guided non-invasive thrombolysis and anti-inflammation based on a heteronuclear transition metal complex. Advanced Science, 12(5), 14567.


Wang, Z., Li, C., Zhao, H., Tang, Y., & Zhu, D. (2025). Leveraging tumor microenvironment to boost synergistic photodynamic therapy, ferroptosis anti-tumor efficiency based on a functional iridium(III) complex. Advanced Science, 12(7), 14892.


Tang, Y., Wang, Z., Zhao, H., Sun, Y., & Zhu, D. (2025). Sonodynamic and bioorthogonal sonocatalytic thrombotic therapy based on AIE cationic tetranuclear Ir(III) complex nanoplatform guided by NIR-chemiluminescence imaging. Advanced Materials, 37(4), 2310674.


Zhu, D., Wang, Z., & Tang, Y. (2025). The Midas touch by internal stimuli: Activatable luminogens with near-infrared aggregation-induced emission for potent bioimaging and theranostics. Review Article.


Wang, Z., Li, X., Zhao, H., Tang, Y., & Zhu, D. (2024). Disulfide-bridged cationic dinuclear Ir(III) complex with aggregation-induced emission and glutathione-consumption properties for elevating photodynamic therapy. Inorganic Chemistry, 63(22), 18945–18956.


Wang, Z., Tang, Y., Zhao, H., & Zhu, D. (2024). Phosphorescent sensor based on iridium(III) complex with aggregation-induced emission activity for facile detection of volatile acids. Molecules, 29(9), 2031.

Congbo Cai | Neurotechnology | Best Researcher Award

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Prof. Dr. Congbo Cai | Neurotechnology | Best Researcher Award

Prof. Dr. Congbo Cai | Xiamen University | China

Professor Congbo Cai is a distinguished researcher at the School of Electronic Science and Technology, Xiamen University, specializing in advanced Magnetic Resonance Imaging (MRI) technology development. His research encompasses ultra-fast imaging, multi-parametric quantitative MRI, deep learning reconstruction, novel neuroimaging techniques, and quantitative medical image analysis. He has led and contributed to numerous high-impact projects, including national key R&D programs, NSFC key projects, and international cooperative projects, with funding totaling several million yuan. His innovations include pioneering high-entropy encoding and overlapping-echo designs, enabling rapid, high-fidelity MRI mapping, and integrating physics-informed deep learning for enhanced image reconstruction and clinical applications. Professor Cai has published over 80 papers in leading journals such as NeuroImage, IEEE Transactions on Medical Imaging, and Medical Image Analysis. He holds 12 patents and serves on editorial boards, including Health and Metabolism, and as a guest editor for Frontiers in Neuroscience. His professional contributions extend to active membership and leadership roles in major MRI societies. His work has garnered significant academic recognition, with a citation count exceeding 2,300 across 872 documents, an h-index of 25, and an i10-index of 55. Professor Cai’s research continues to advance MRI science, bridging cutting-edge technology and clinical translation.

Profiles: Scopus | Google Scholar | Research Gate | Linked In

Featured publications

  • Author(s). (2018). Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing. Journal of Magnetic Resonance.

  • Author(s). (2018). Single-shot T2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network. Magnetic Resonance in Medicine.

  • Author(s). (2018). Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method. Chinese Physics B.

  • Author(s). (2018). Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Motion-tolerant diffusion mapping based on single-shot overlapping-echo detachment (OLED) planar imaging. Magnetic Resonance in Medicine.

Nasar Ata | Neurology | Best Researcher Award

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Mr. Nasar Ata | Neurology | Best Researcher Award

Dr. S. M. Nasar Ata is a researcher in the Department of Neurology at Henry Ford Hospital, Detroit, USA, specializing in artificial intelligence applications in neuroscience. His work focuses on developing machine learning and soft computing–based algorithms such as CNN, ANN, SVM, and MLR for detecting and predicting brain-based disorders, including Multiple Sclerosis. He integrates metabolomics and imaging clinical data to identify biomarkers and construct predictive models for neurological and metabolic diseases. Dr. Ata collaborates with research centers such as JNMC and IBRC AMU on brain tumor prediction from MRI data and with RCDR AMU on diabetes-related model development. His research contributions include several submitted papers on metabolite prediction, deep learning in brain tumor detection, and molecular mechanisms underlying neurodegeneration and cancer. He has also authored the textbook Basics of Bio-Sciences and actively participates in scientific discussions and editorial work. With 3 published documents, 7 citations, and an h-index of 2, Dr. Ata’s growing research profile reflects his commitment to advancing data-driven neurological diagnostics through AI and biostatistical innovation.

Profiles: Scopus | Research Gate

Featured Publication

Corrigendum to “Artificial neural network-based prediction of multiple sclerosis using blood-based metabolomics data” [Multiple Sclerosis and Related Disorders, 92, 105942 (2024)]. (2024). Multiple Sclerosis and Related Disorders, 95, 106321.

Chahra Chbili | Clinical Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Chahra Chbili | Clinical Neuroscience | Best Researcher Award

Assist. Prof. Dr. Chahra Chbili | University of Sousse | Tunisia

Dr. Chahra Chbili is an Assistant Professor of Pharmacology at the Higher School of Health Sciences and Techniques of Sousse (ESSTSS) and a member of the Research Laboratory of Metabolic Biophysics and Applied Pharmacology (LR/12ES02) at the Faculty of Medicine Ibn El Jazzar of Sousse, Tunisia. Her academic journey spans extensive training in biological sciences, genetics, and medical biotechnology, with a Ph.D. earned with highest honors for her work on the pharmacokinetic and pharmacogenetic study of carbamazepine therapy in epileptic and bipolar patients. Dr. Chbili’s research focuses on pharmacogenetics, pharmacokinetics, and the molecular mechanisms underlying drug efficacy and toxicity. She has contributed significantly to studies exploring the genetic determinants of drug metabolism, including investigations into glutathione-S-transferases in tuberculosis patients with drug-induced hepatotoxicity. Skilled in advanced laboratory techniques such as PCR, FISH, ELISA, and HPLC-MS, she has developed expertise in integrating molecular biology with clinical pharmacology. Dr. Chbili has authored 17 scientific documents, accumulated 138 citations across 123 indexed works, and maintains an h-index of 7, reflecting her impactful contributions to pharmacological and biomedical research in Tunisia and beyond.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

Chbili, C., Mrad, S., Graiet, H., Selmi, M., Maatoug, J., Maoua, M., Abdellaoui, L., Mrizek, N., Nouira, M., Ben Fredj, M., et al. (2024). Randomized, placebo-controlled pilot study investigating the effects of Laurus nobilis tea on lipid profiles and oxidative stress biomarkers in healthy North African volunteers. The North African Journal of Food and Nutrition Research, 8(17), 86–98.

Chbili, C., Fathallah, N., Laadhari, C., Ouni, B., Saguem, S., Ben Fredj, M., Abdelghani, A., Ben Saad, H., & Ben Salem, C. (2022). Glutathione-S-transferase genetic polymorphism and risk of hepatotoxicity to antitubercular drugs in a North-African population: A case-control study. Gene, 808, 146019.

Rebai, A., Chbili, C., Ben Amor, S., Hassine, A., Ben Ammou, S., & Saguem, S. (2021). Effects of glutathione S-transferase M1 and T1 deletions on Parkinson’s disease risk among a North African population. Revue Neurologique, 177(1–2), 93–99.

Chbili, C. (2021, August 22). The effect of Origanum majorana tea on motor and non-motor symptoms in patients with idiopathic Parkinson’s disease: A randomized controlled pilot study. Journal article.

Chbili, C., Maoua, M., Selmi, M., Mrad, S., Khairi, H., Limem, K., Mrizek, N., Saguem, S., & Ben Fredj, M. (2020). Evaluation of daily Laurus nobilis tea consumption on lipid profile biomarkers in healthy volunteers. Journal of the American College of Nutrition, 39(6), 518–526.

Rebai, A., Reçber, T., Nemutlu, E., Chbili, C., Kurbanoglu, S., Kir, S., Ben Amor, S., Özkan, S. A., & Saguem, S. (2020). GC-MS based metabolic profiling of Parkinson’s disease with glutathione S-transferase M1 and T1 polymorphism in Tunisian patients. Combinatorial Chemistry and High Throughput Screening, 23(8), 785–794.

Lin Xiao | Cellular Neuroscience | Best Researcher Award

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Dr. Lin Xiao | Cellular Neuroscience | Best Researcher Award

Dr. Lin Xiao | Institute for Brain Research and Rehabilitation | China

Dr. Lin Xiao is a distinguished Professor of Neuroscience at the Institute for Brain Research and Rehabilitation, South China Normal University, whose pioneering research has significantly advanced understanding of oligodendrocyte biology and myelin plasticity. His work elucidates the mechanisms by which adaptive myelination contributes to motor learning and memory, proposing a novel “biphasic plasticity model” that distinguishes distinct phases of learning and consolidation. Dr. Xiao’s research has been published in leading journals including Nature Neuroscience, Science, Nature Communications, and Advanced Science, collectively garnering over 2,800 citations and an h-index of 28, with approximately 20 peer-reviewed articles. His landmark paper in Nature Neuroscience has become a classic reference with over 500 citations, demonstrating substantial influence in the field. He has led multiple projects funded by the National Natural Science Foundation of China, including completed and ongoing studies, and established major collaborations with institutions such as University College London. His research areas include glial–neuron interactions, mechanisms of remyelination, neurodevelopmental disorders such as autism, and psychiatric disorders including depression. These contributions have been recognized with national awards and have opened promising avenues for therapeutic strategies in demyelinating and cognitive disorders.

Profiles: Google Scholar | Orcid | Research Gate  

Featured Publications

Marques, S., Zeisel, A., Codeluppi, S., Van Bruggen, D., Mendanha Falcão, A., et al. (2016). Oligodendrocyte heterogeneity in the mouse juvenile and adult central nervous system. Science, 352(6291), 1326–1329.

Xiao, L., Ohayon, D., McKenzie, I. A., Sinclair-Wilson, A., Wright, J. L., Fudge, A. D., et al. (2016). Rapid production of new oligodendrocytes is required in the earliest stages of motor-skill learning. Nature Neuroscience, 19(9), 1210–1217.

Liu, S., Yu, M., He, Y., Xiao, L., Wang, F., Song, C., Sun, S., Ling, C., & Xu, Z. (2008). Melittin prevents liver cancer cell metastasis through inhibition of the Rac1‐dependent pathway. Hepatology, 47(6), 1964–1973.

Li, C., Xiao, L., Liu, X., Yang, W., Shen, W., Hu, C., Yang, G., & He, C. (2013). A functional role of NMDA receptor in regulating the differentiation of oligodendrocyte precursor cells and remyelination. Glia, 61(5), 732–749.

Feng, P. A. N. (2003). Fast mode decision for intra prediction. JVT-G013, March 2003.

Li, Y. X., Ding, S. J., Xiao, L., Guo, W., & Zhan, Q. (2008). Desferoxamine preconditioning protects against cerebral ischemia in rats by inducing expressions of hypoxia inducible factor 1α and erythropoietin. Neuroscience Bulletin, 24(2), 89–95.

Mansoor Showkat | Computational Neuroscience | Best Researcher Award

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Mr. Mansoor Showkat | Computational Neuroscience | Best Researcher Award

Mr. Mansoor Showkat | SKUAT-Kashmir | India

Mansoor Showkat is a researcher in Plant Biotechnology with an M.Sc. from the University of Agricultural Sciences, Bangalore, and a B.Sc. (Hons.) in Horticulture from Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir. His research expertise spans molecular biology, computational biology, bioinformatics, and tissue culture, with particular emphasis on antifungal compound analysis, gene transformation, and plant-pathogen interactions. Mansoor has contributed to several peer-reviewed publications and book chapters, focusing on the in-silico and in-vitro evaluation of bioactive compounds such as cordycepin, molecular mechanisms of stress responses, and secondary metabolite profiling in plants. His research projects include genetic transformation studies, metabolomics-based investigations, and the use of omics tools for crop improvement. He has actively participated in numerous international workshops, conferences, and webinars related to biotechnology, bioinformatics, and genomics. Mansoor has achieved significant academic recognition, including national rankings in competitive examinations by the Indian Council of Agricultural Research. His scientific impact is reflected by a citation count of 15, an h-index of 2, and an i10-index of 0, highlighting his growing contribution to molecular and agricultural biotechnology research.

Profiles: Google Scholar| Research Gate | Linked In

Featured Publications

  1. Showkat, M., Narayanappa, N., Umashankar, N., & Saraswathy, B. P., et al. (2024). Optimization of fermentation conditions of Cordyceps militaris and in silico analysis of antifungal property of cordycepin against plant pathogens. Journal of Basic Microbiology, 64(10), e2400409.

  2. Fatimah, N., Ashraf, S., R. U., K. N., Anju, P. B., Showkat, M., Perveen, K., Bukhari, N. A., et al. (2024). Evaluation of suitability and biodegradability of the organophosphate insecticides to mitigate insecticide pollution in onion farming. Heliyon, 10(12).

  3. Margay, K. A. A. A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., & Showkat, M., et al. (2024). Plant circadian clocks: Unravelling the molecular rhythms of nature. International Journal of Plant and Soil Science, 36(8), 596–617.

  4. Margay, A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., Showkat, M., R. U., K. N., Gani, A., et al. (2024). Harnessing brassinosteroids for heat resilience in wheat: A comprehensive study.

  5. Showkat, M., Nagesha, N., Ashraf, S., Nayana, K., Bashir, S., Nair, A. S., et al. (2024). Cordycepin: A molecular Trojan horse against Fusarium oxysporum f. sp. cubense—A computational perspective.

Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

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Prof. Dr. Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

Prof. Dr. Alireza Kamali-Asl | Freelance organization | United Kingdom

Professor Alireza Kamaliasl is a distinguished expert in medical radiation engineering and serves as the Director of the Medical Imaging Instruments Laboratory and Head of Molecular Imaging Modality. With over two decades of experience in healthcare technology and molecular imaging, he has made pioneering contributions to the design, simulation, and manufacture of advanced medical imaging instruments across modalities such as SPECT, PET, CT, and radiography. His interdisciplinary research integrates mathematical modeling, computational analysis, and clinical collaboration to enhance diagnostic and theranostic imaging systems. Professor Kamaliasl has authored more than 150 publications in top-tier international journals and conferences, achieving an h-index of 28, with over 3,800 citations and 160 research documents indexed in global databases. He has successfully supervised more than 45 postgraduate research projects, fostering innovation and leadership in radiological sciences. His expertise spans radio-isotopic imaging, system performance optimization, radiation shielding, device calibration, and preventive maintenance management. Recognized for his role as a visionary mentor and strategic planner, Professor Kamaliasl continues to advance multimodality molecular imaging and medical instrumentation, bridging the gap between engineering innovation and clinical application to improve diagnostic precision and therapeutic outcomes.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

  1. Habibzadeh, M. A., Ay, M. R., Kamali-Asl, A. R., Ghadiri, H., & Zaidi, H. (2012). Impact of miscentering on patient dose and image noise in X-ray CT imaging: Phantom and clinical studies. Physica Medica, 28(3), 191–199.

  2. Aghakhan Olia, N., Kamali-Asl, A., Hariri Tabrizi, S., Geramifar, P., et al. (2022). Deep learning–based denoising of low-dose SPECT myocardial perfusion images: Quantitative assessment and clinical performance. European Journal of Nuclear Medicine and Molecular Imaging, 49(5), 1508–1522.

  3. Arefan, D., Talebpour, A., Ahmadinejhad, N., & Kamali-Asl, A. (2015). Automatic breast density classification using neural network. Journal of Instrumentation, 10(12), T12002.

  4. Poorbaygi, H., Aghamiri, S. M. R., Sheibani, S., Kamali-Asl, A., et al. (2011). Production of glass microspheres comprising 90Y and 177Lu for treating hepatic tumors with SPECT imaging capabilities. Applied Radiation and Isotopes, 69(10), 1407–1414.

  5. Khazaee Moghadam, M., Kamali-Asl, A., Geramifar, P., & Zaidi, H. (2016). Evaluating the application of tissue-specific dose kernels instead of water dose kernels in internal dosimetry: A Monte Carlo study. Cancer Biotherapy and Radiopharmaceuticals, 31(10), 367–379.*

Elzbieta Paszynska | Clinical Neuroscience | Best Research Article Award

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Prof. Dr. Elzbieta Paszynska | Clinical Neuroscience | Best Research Article Award

Prof. Dr. Elzbieta Paszynska | Poznan University of Medical Sciences | Poland

Professor Elzbieta Paszynska is a distinguished expert in dentistry, serving as Chair of the Department of Integrated Dentistry and Chair of Community Dentistry at Poznan University of Medical Sciences. Her academic focus includes community dentistry, adult comprehensive dental treatment, dental materials, and clinical research in oral health, particularly in patients with eating disorders. She has led numerous significant research projects, including studies on salivary biomarkers, oral health status in eating disorders, and the caries-preventive effects of hydroxyapatite toothpaste in children and adults, collaborating with multiple international institutions. Her research has contributed to over 70 scientific documents with more than 598 citations and an h-index of 13. She has published high-impact works in journals such as Scientific Reports, Frontiers in Public Health, Frontiers in Psychiatry, Nutrients, and the Journal of Dentistry. Her contributions include interdisciplinary projects integrating dentistry, ethics, and public health, and she has coordinated large-scale EU-funded projects and international collaborations. Her work has been recognized with multiple institutional and national awards for scientific excellence, teaching, and professional contributions to dentistry, as well as honors from professional dental associations. She is an active member of national boards and promotes innovation in dental education and research.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

  • Obesity and central accumulation of fat in school-age children with attention-deficit/hyperactivity disorder. (2025). Scientific Reports.

  • Miescher’s Cheilitis as a Diagnostic and Therapeutic Challenge—A Case Report. (2025). Medicina, Kaunas, Lithuania.

  • Prevalence of Toothache in Adults: A Meta-Analysis of Worldwide Studies. (2025).

  • Pain experience and behavior management: efficacy of photobiomodulation as an adjunct to local anesthesia in MIH patients—a randomized split-mouth clinical study. (2025). Frontiers in Neurology.

  • Clinical evidence of caries prevention by hydroxyapatite: An updated systematic review and meta-analysis. (2025).

Luay Rashan | Neuroscience of Pain and Analgesia | Best Researcher Award

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Prof. Dr. Luay Rashan | Neuroscience of Pain and Analgesia | Best Researcher Award

Prof. Dr. Luay Rashan | Dhofar University | Oman

Professor Luay Jamil Rashan is a distinguished academic specializing in Histology and Histochemistry, currently serving as Director and Principal Investigator at the Research Center, Dhofar University, Oman. He holds a B.Sc. and M.Sc. from the University of Mosul, Iraq, and a Ph.D. from Trinity College, University of Dublin, Ireland, with extensive post-doctoral experience in pharmacognosy, virology, pharmacology, and plant biochemistry across leading institutions in Iraq, the UK, and Germany. Professor Rashan has authored 88 scholarly documents that have garnered over 1,103 citations, reflecting significant impact in his field, and holds an h-index of 19, underscoring his scholarly influence. His research contributions span histological and histochemical methodologies, pharmacological studies, and bio-organic chemistry, with a focus on advancing scientific understanding in tissue biology and drug evaluation. His work has been recognized internationally, reflecting a sustained commitment to research excellence, academic leadership, and interdisciplinary collaboration. As a prolific researcher, Professor Rashan continues to contribute to advancing knowledge through publications, mentoring, and leading innovative research initiatives that bridge experimental science with applied biomedical research. His career exemplifies a dedication to both scientific discovery and the development of future generations of researchers.

Profiles: Scopus | Google Scholar | Research Gate

Featured Publications

  • Author(s). (2025). Neuronutritional enhancement of antioxidant defense system through Nrf2/HO1/NQO1 axis in fibromyalgia. Neurochemistry International.

  • Author(s). (2025). Oleandrin-mediated suppression of MELK induces apoptosis, autophagy, and ferroptosis in human non-small cell lung cancer cells. Phytomedicine.

  • Author(s). (2025). Cannabis oil protects against valproic acid–induced autism spectrum disorder by reducing oxidative stress. Developmental Neurobiology.

  • Author(s). (2025). Profiling and bioactivity of polyphenols from the Omani medicinal plant Terminalia dhofarica (syn. Anogeissus dhofarica). Molecules Basel Switzerland.

  • Author(s). (2025). An updated review on pharmacological aspects and nanotechnological advancements of frankincense boswellic acids.

Hiroshi Nagase | Neuropharmacology | Best Researcher Award

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Prof. Hiroshi Nagase | Neuropharmacology | Best Researcher Award

Prof. Hiroshi Nagase | University of Tsukuba | Japan

Prof. Hiroshi Nagase is a distinguished Japanese scientist recognized for his pioneering contributions to medicinal chemistry and drug discovery. He earned his B.S., M.S., and Ph.D. degrees in Chemistry from Nagoya University, Japan, and later served as a Visiting Scientist at the University of Minnesota’s Department of Medicinal Chemistry. Dr. Nagase began his professional career at Toray Industries Inc., where he advanced from Researcher to Director in the Basic Research Laboratories. He later joined Kitasato University’s School of Pharmacy as a Professor and subsequently served as a Principal Investigator and Professor at the International Institute for Integrative Sleep Medicine (IIIS) under the World Premier International Research Center Initiative at the University of Tsukuba, where he now holds the title of Professor Emeritus. His academic and research influence extended through adjunct professorships at the University of Tokyo, the University of Nagasaki, Toyohashi Polytechnic College, and Nagoya University. Dr. Nagase has authored 39 scientific documents, which have collectively garnered 279 citations from 189 sources, reflecting his substantial impact on the field. With an h-index of 10, his research continues to inspire advancements in medicinal chemistry, neuropharmacology, and therapeutic innovation.

Profiles: Scopus | Research Gate

Featured Publication

Nagase, H. (2025). Development of novel bioactive alkaloids based on specific reactions of the 4,5-epoxymorphinan framework. Synlett.

[Authors not listed]. (2025). Delta opioid receptor agonists activate PI3K–mTORC1 signaling in parvalbumin-positive interneurons in mouse infralimbic prefrontal cortex to exert acute antidepressant-like effects. Molecular Psychiatry.