Wagdy Khalil | Molecular and Cellular Neuroscience | Best Researcher Award

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Prof. Wagdy Khalil | Molecular and Cellular Neuroscience | Best Researcher Award

Prof. Wagdy Khalil |  National Research Centre | Egypt

Dr. Wagdy Khalil is a Professor of Animal Genetics specializing in Molecular Genetics at the Cell Biology Department, National Research Centre, Egypt. His research focuses on genetic and molecular mechanisms underlying animal reproduction, gene expression, and environmental genotoxicity. He has significantly contributed to the understanding of oocyte maturation, preovulatory hormonal regulation, and molecular responses to toxins, nanoparticles, and natural therapeutic agents. Dr. Khalil’s work integrates molecular biology, biotechnology, and animal genetics to explore the genetic basis of fertility, mutagenicity, and disease resistance. He has published 161 scientific papers in peer-reviewed journals indexed in Scopus, reflecting his consistent research productivity and international collaboration. His studies have advanced knowledge in fields such as reproductive biology, toxicogenomics, molecular diagnostics, and genetic engineering. Dr. Khalil’s impactful research has earned him 2,055 citations from 1,801 documents, demonstrating wide recognition within the scientific community. With an h-index of 27, his work continues to influence emerging research in molecular genetics and biotechnology, bridging fundamental discoveries with applied biomedical and agricultural innovations.

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

Featured Publications

  • Antiarthritic activities of berberine in a rat model of gouty arthritis. (2025). Scientific Reports.

  • Unravelling the mechanism by which vildagliptin and linagliptin inhibit pyroptosis in lung injury through the NLRP3 inflammatory pathway in type 1 diabetic rats. (2025). Scientific Reports.

  • Comparative study of pyridine and pyrimidine derivatives as promising anti-inflammatory agents: Design, synthesis, and LPS-induced RAW 264.7 macrophages. (2025). Drug Development Research.

  • Expression of growth factors in buffalo ovarian tissue across different follicular developmental stages. (2025). Archives of Gynecology and Obstetrics.

  • Estrus, preovulatory LH surge and oocyte maturation in Goettingen miniature pigs (Sus scrofa domesticus). (2025). Theriogenology.

  • Targeting apoptotic pathways in cancer: Design, synthesis, and molecular docking studies of 1,3,5-trisubstituted-1H-pyrazole derivatives with Bcl-2 inhibition and DNA damage potential. (2025). RSC Advances.

  • Assessment of the gold nanoparticles biosynthesized using Casuarina equisetifolia bark extract against the ethion-induced hepato- and neurotoxicity in rats. (2025). Journal of Genetic Engineering and Biotechnology.

  • In vitro and in vivo antidiabetic evaluation of new coumarin and chromone derivatives: Design, synthesis, and molecular modeling. (2025). Bioorganic Chemistry.

  • Potential therapeutic effects of interleukin-1 receptor type 1 antagonist and the ethyl acetate fraction of Murraya exotica leaves against κ-carrageenan-induced vein thrombosis in rats. (2025). Phytomedicine Plus.

  • The ability of stressor factors of environmental pollution to induce ROS and 8-OHdG mediated apoptosis in fish species of Suez Gulf, Red Sea. (2025). Egyptian Journal of Chemistry.

Eleni Tsakiri | Foundations of Neuroscience | Best Researcher Award

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Dr. Eleni Tsakiri | Foundations of Neuroscience | Best Researcher Award

Dr. Eleni Tsakiri |  National and Kapodistrian University of Athens Medical School | Greece

Dr. Eleni Tsakiri is a distinguished Molecular Biologist whose research centers on the molecular mechanisms of aging, proteostasis, and neurodegeneration. She earned her Ph.D. in Biology from the National and Kapodistrian University of Athens (NKUA) with a thesis on proteome homeostasis and its alterations during aging, following her M.Sc. in Cell Biology and Biophysics and a B.Sc. in Molecular Biology and Genetics. Dr. Tsakiri has held multiple postdoctoral positions at leading Greek institutions, including the Medical School of NKUA and the Biomedical Research Center “Alexander Fleming,” where she contributed to projects on proteasome regulation, Tau aggregation, and ribosome-mediated cell competition. Currently, she serves as a Postdoctoral Researcher at the Laboratory of Physiology, NKUA, focusing on neurodegeneration and aging under an ERC-funded project. Her research is supported by competitive grants such as the Hellenic Foundation for Research and Innovation (HFRI). She has supervised undergraduate, master’s, and doctoral students and actively collaborates with prominent researchers in Greece and abroad. Dr. Tsakiri’s contributions are reflected in her 24 published documents, 730 citations, and an h-index of 15, highlighting her impact in molecular biology and aging research.

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

Featured Publications

  • Tsakiri, E. N., Sykiotis, G. P., Papassideri, I. S., Terpos, E., Dimopoulos, M. A., & others. (2013). Proteasome dysfunction in Drosophila signals to an Nrf2‐dependent regulatory circuit aiming to restore proteostasis and prevent premature aging. Aging Cell, 12(5), 802–813.

  • Tsakiri, E. N., Sykiotis, G. P., Papassideri, I. S., Gorgoulis, V. G., Bohmann, D., & others. (2013). Differential regulation of proteasome functionality in reproductive vs. somatic tissues of Drosophila during aging or oxidative stress. The FASEB Journal, 27(6), 2407–2419.

  • Tsakiri, E. N., & Trougakos, I. P. (2015). The amazing ubiquitin-proteasome system: Structural components and implication in aging. International Review of Cell and Molecular Biology, 314, 171–237.

  • Tsakiri, E. N., Iliaki, K. K., Höhn, A., Grimm, S., Papassideri, I. S., & Grune, T. (2013). Diet-derived advanced glycation end products or lipofuscin disrupts proteostasis and reduces life span in Drosophila melanogaster. Free Radical Biology and Medicine, 65, 1155–1163.

  • Tsakiri, E. N., Gumeni, S., Iliaki, K. K., Benaki, D., Vougas, K., Sykiotis, G. P., et al. (2019). Hyperactivation of Nrf2 increases stress tolerance at the cost of aging acceleration due to metabolic deregulation. Aging Cell, 18(1), e12845.

Zhou Yu | Behavioral Neuroscience | Best Researcher Award

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Dr. Zhou Yu | Behavioral Neuroscience | Best Researcher Award

Dr. Yu Zhou is a postdoctoral researcher at Army Engineering University, specializing in the intersection of neuroscience, computer vision, and target detection. His research primarily focuses on deceptive visual design for both human and machine perception, exploring how visual stimuli can influence detection, recognition, and cognitive processing. Zhou has conducted pioneering studies on camouflage and optical deception, utilizing EEG-based brain functional network analysis to evaluate target visibility and cognitive responses. His work integrates principles from weapon science, biomedical engineering, and computer science to develop comprehensive models of visual perception and deception. Representative publications include investigations into neural responses to camouflage targets with varying exposure signs, the impact of color differences on brain activation patterns, and feasibility assessments of optical camouflage effects. Through these studies, he contributes to a deeper understanding of how visual designs can manipulate human attention and computer vision systems, providing actionable insights for defense technology applications. Zhou’s research emphasizes rigorous quantitative evaluation methods, leveraging neurophysiological data to inform the design of effective deceptive visual patterns. With an h-index of 2 and multiple citations, his work demonstrates a growing influence in fields spanning neuroscience-informed computer vision, perceptual deception, and applied optical camouflage.

Profiles: Scopus | Reasearch Gate

Featured publication

Author(s). (2024). Neural responses to camouflage targets with different exposure signs based on EEG. Neuropsychologia.

Dipesh | Computational Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Dipesh | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Dipesh | SR University | India

Dr. Dipesh is a dedicated mathematician specializing in mathematical modeling, with extensive experience in both academic and research domains. He has made significant contributions to applied mathematics, particularly in areas intersecting numerical methods, AI/ML, and fluid dynamics. Dr. Dipesh has actively organized and coordinated multiple academic programs, including national workshops, faculty development programs, and departmental initiatives, demonstrating strong leadership in fostering educational and research excellence. His efforts in coordinating the Department of Intellectual Property Rights and successfully conducting events such as RAFAS highlight his commitment to academic growth and institutional development. Academically, he has pursued rigorous training from undergraduate to postdoctoral levels, culminating in advanced research at Harran University, Turkey. Dr. Dipesh’s scholarly output includes 30 documents that have been cited 103 times, reflecting an h-index of 7, underscoring the impact and relevance of his research contributions in applied mathematics and related interdisciplinary fields. His approach emphasizes quality teaching, student placement, institutional ranking, and enhancing the overall goodwill of the organizations he serves. Driven by a passion for tackling challenges and improving systems with limited resources, Dr. Dipesh continually seeks to connect with external environments, promote collaborative work, and advance the reach and recognition of academic institutions.

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

Featured Publications

  1. Mathematical model of Cynodon Dactylon’s allelopathic effect on perennial ryegrass for exploring plant-plant interactions based upon ordinary differential equations. (2025). Partial Differential Equations in Applied Mathematics.

  2. Modelling the role of delay in blood flow dynamics in human body using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.

  3. On the modeling the impact of delay on stock pricing fluctuations using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.

Noreen Kamal | Translational Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Noreen Kamal | Translational Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Noreen Kamal | Dalhousie University | Canada

Dr. Noreen Kamal, Ph.D., P.Eng., is an Associate Professor of Industrial Engineering at Dalhousie University, Canada, with cross-appointments in the Departments of Community Health and Epidemiology and Medicine (Neurology). Her research lies at the intersection of health systems engineering and clinical neuroscience, focusing on the optimization of stroke care systems, development of data-driven quality improvement frameworks, and evaluation of biomedical devices for stroke rehabilitation. Dr. Kamal has played a pivotal role in advancing integrated approaches to enhance the efficiency, safety, and accessibility of acute stroke services across Canada. Prior to joining Dalhousie University, she held academic and leadership positions at the University of Calgary and the University of British Columbia, contributing extensively to clinical research and health technology innovation. Her work bridges engineering, medicine, and health policy, emphasizing interdisciplinary collaboration and patient-centered outcomes. With 107 scientific publications, 8,033 citations, and an h-index of 22, Dr. Kamal has established herself as a recognized scholar in healthcare systems improvement and translational neuroscience. Her scholarly and professional contributions continue to drive evidence-based innovation in stroke systems of care, supporting better clinical outcomes and sustainable health service delivery.

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

Featured Publications

Author(s). (2025). Exploring differences in stroke treatment between urban and rural hospitals: A thematic analysis of practices in Canada. Canadian Journal of Neurological Sciences.

Author(s). (2025). Designing a patient outcome clinical assessment tool for modified Rankin Scale: “You feel the same way too”. Informatics.

Author(s). (2025). Predicting ischemic stroke patients to transfer for endovascular thrombectomy using machine learning: A case study. Healthcare (Switzerland).

Author(s). (2025). Incident prescriptions for common cardiovascular medications: Comparison of recent versus pre-2020 medication adherence and discontinuation in three universal health care systems. BMC Cardiovascular Disorders.

Author(s). (2025). Rising out-of-hospital mortality in Canada during 2020–2022: A striking impact observed among young adults. Canadian Journal of Public Health.

Author(s). (2025). Discrete event simulation model of an acute stroke treatment process at a comprehensive stroke center: Determining the ideal improvement strategies for reducing treatment times. Journal of the Neurological Sciences.

Author(s). (2025). Validation of the Passive Surveillance Stroke Severity Score in three Canadian provinces. Canadian Journal of Neurological Sciences.

Author(s). (2025). A stochastic optimization model for designing disaster relief networks with congestion, disruption and distributional ambiguity. Infor.

Author(s). (2025). Improving access and efficiency of acute ischemic stroke treatment across four Canadian provinces: A stepped-wedge trial. Frontiers in Neurology.

Author(s). (2025). The acute stroke system of treatment across Canada: Findings from a national stroke centre survey. Canadian Journal of Neurological Sciences.

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.

Musawer Hakimi | Systems Neuroscience | Best Researcher Award

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Mr. Musawer Hakimi | Systems Neuroscience | Best Researcher Award

Mr. Musawer Hakimi | Samangan University | Afghanistan

Mr. Musawer Hakimi is an accomplished Assistant Professor at Samangan University, specializing in Computer Science. He holds a Bachelor’s degree in Computer Science from India and a Master’s degree in Information Technology from Kabul University. Demonstrating a strong commitment to lifelong learning, he has earned 25 professional certificates in Computer Science from India, along with two specialized certifications in Ethical Hacking and Oracle Database from the United States. His academic excellence and research contributions have positioned him as a respected scholar with 3 published documents, 13 citations, and an h-index of 1. Mr. Hakimi’s scholarly work has been featured in reputable international journals across the United Kingdom, the United States, Turkey, Sweden, and Indonesia, reflecting his active engagement in global research networks. Beyond his research achievements, he is dedicated to nurturing future computer scientists through his teaching and mentorship at the Public University of Afghanistan, where he plays an instrumental role in advancing computer science education. His interdisciplinary expertise, international collaborations, and consistent scholarly output underscore his impact as an educator, researcher, and thought leader in the evolving field of computer science, contributing to the growth of academic excellence and innovation within Afghanistan and the broader global academic community.

Profiles: Scopus | Orcid | Google Scholar | Research Gate

Featured Publications

Quraishi, T., Ulusi, H., Muhid, A., Hakimi, M., & Olusi, M. R. (2024). Empowering students through digital literacy: A case study of successful integration in a higher education curriculum. Journal of Digital Learning and Distance Education, 2(9), 667–681.

Fazil, A. W., Hakimi, M., Shahidzay, A. K., & Hasas, A. (2024). Exploring the broad impact of AI technologies on student engagement and academic performance in university settings in Afghanistan. RIGGS: Journal of Artificial Intelligence and Digital Business, 2(2), 56–63.

Hakimi, M., Katebzadah, S., & Fazil, A. W. (2024). Comprehensive insights into e-learning in contemporary education: Analyzing trends, challenges, and best practices. Journal of Education and Teaching Learning (JETL), 6(1), 86–105.

Hakimi, N., Hakimi, M., Hejran, M., Quraishi, T., Qasemi, P., Ahmadi, L., & others. (2024). Challenges and opportunities of e-learning for women’s education in developing countries: Insights from Women Online University. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(1), 57–69.

Hasas, A., Hakimi, M., Shahidzay, A. K., & Fazil, A. W. (2024). AI for social good: Leveraging artificial intelligence for community development. Journal of Community Service and Society Empowerment, 2(2), 196–210.

Fazil, A. W., Hakimi, M., Sajid, S., Quchi, M. M., & Khaliqyar, K. Q. (2023). Enhancing internet safety and cybersecurity awareness among secondary and high school students in Afghanistan: A case study of Badakhshan Province. American Journal of Education and Technology, 2(4), 50–61.

Alam, M. I., Khatri, S., Shukla, D. K., Misra, N. K., Satpathy, S., & Hakimi, M. (2025). Blockchain-based coal supply chain management system for thermal power plants. Discover Computing, 28(1), 1–32.

Irene Litvan | Clinical Neuroscience | Best Researcher Award

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Dr. Irene Litvan | Clinical Neuroscience | Best Researcher Award

Dr. Irene Litvan | University of California San Diego | United States

Dr. Irene Litvan, MD, is the Tasch Endowed Professor of Neurology and Director of the Parkinson and Other Movement Disorders Center at the University of California, San Diego. She is internationally recognized for her pioneering work in movement disorders, particularly Parkinson’s disease and related neurodegenerative conditions. As a leading clinician-scientist, she has directed major multicenter and international initiatives to develop clinical and neuropathologic diagnostic criteria, identify disease biomarkers, and advance therapeutic interventions. Her extensive research spans epidemiologic, genetic, and clinico-pathologic correlation studies that have significantly deepened the understanding of movement disorders. Dr. Litvan’s scholarly impact is reflected in 6 published documents, 10 citations, and an h-index of 1. Throughout her distinguished career, she has received consistent funding support from national and international agencies, industry collaborations, and philanthropic organizations. Beyond her research, she has served as a dedicated mentor, shaping the next generation of neurologists and neuroscientists. Dr. Litvan also leads the UC San Diego Parkinson and Other Movement Disorders Center, fostering clinical excellence and research innovation aimed at improving diagnosis, management, and quality of life for individuals with Parkinson’s disease and other movement-related neurological disorders.

Featured Publications

Postuma, R. B., Berg, D., Stern, M., Poewe, W., Olanow, C. W., Oertel, W., Obeso, J., et al. (2015). MDS clinical diagnostic criteria for Parkinson’s disease. Movement Disorders, 30(12), 1591–1601.

McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O’Brien, J. T., Feldman, H., et al. (2005). Diagnosis and management of dementia with Lewy bodies: Third report of the DLB Consortium. Neurology, 65(12), 1863–1872.

Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000). The FAB: A frontal assessment battery at bedside. Neurology, 55(11), 1621–1626.

Emre, M., Aarsland, D., Brown, R., Burn, D. J., Duyckaerts, C., Mizuno, Y., Broe, G. A., et al. (2007). Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Movement Disorders, 22(12), 1689–1707.

Litvan, I., Goldman, J. G., Tröster, A. I., Schmand, B. A., Weintraub, D., Petersen, R. C., et al. (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Movement Disorders, 27(3), 349–356.

Litvan, I., Agid, Y., Calne, D., Campbell, G., Dubois, B., Duvoisin, R. C., Goetz, C. G., et al. (1996). Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome): Report of the NINDS–SPSP international workshop. Neurology, 47(1), 1–9.

Höglinger, G. U., Respondek, G., Stamelou, M., Kurz, C., Josephs, K. A., Lang, A. E., et al. (2017). Clinical diagnosis of progressive supranuclear palsy: The Movement Disorder Society criteria. Movement Disorders, 32(6), 853–864.