Sudhir V. Shah
Researcher
University of Arkansas for Medical Sciences
faculty
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Biography and Research Information
OverviewAI-generated summary
Sudhir V. Shah's research interests encompass patient and public involvement in health research, with a particular focus on behavioral science and its application to clinical practice. He has extensive experience as a lay representative with the National Institute for Health Research (NIHR) Applied Research Collaborations (ARCs) and serves on advisory panels for these initiatives. Shah is also a member of an NIHR Patient Safety Translation Research Centre, where he contributes to the review and analysis of research studies and papers, often with a focus on patient safety and behavioral science topics such as statin reluctance and other medication-related issues.
His work extends to co-production in health research, evidenced by his membership in UCL's Co-Production Group (COG) for Loneliness and Social Isolation. In this capacity, he participates in seminars, group discussions, and advises on potential research funding. He also contributes to the Centre for Co-production in Health Research at UCL, which supports pilot health research projects. Shah's engagement with lived experience is further demonstrated by his role on the Lived Experience Advisory Panel for Chronic Depression at the East London NHS Foundation Trust, where efforts are underway to develop a tool for patient and clinician input. He also contributes to the PPIE Strategy group at Newcastle University’s Policy Research Unit in Behaviour Science at Population Health Science.
Shah's scholarly output includes publications on topics such as the integration of Artificial Intelligence into clinical practice, the role of iron chelation in age-related muscle sarcopenia, and advancements in CRISPR/Cas9 technology for neurological disorders. His work also touches upon cardiovascular disease management in kidney disease, the utility of clinical exome sequencing for neurodevelopmental disorders, and the impact of vestibular suppressant drugs. With an h-index of 68 and over 20,000 citations, Shah is recognized as a highly cited researcher. He leads a research group and collaborates with colleagues at the University of Arkansas for Medical Sciences, including Oleg Karaduta, Sharda P. Singh, Judit Megyesi, and Chhanda Bose.
Metrics
- h-index: 68
- Publications: 321
- Citations: 20,612
Selected Publications
- Effectiveness and efficiency of an add-on active outreach strategy on research enrollments in a drug intervention trial (2025) DOI
- A simpler and more sensitive modified catalytic (bleomycin detectable) iron assay (2025) DOI
- Iron Chelation Prevents Age‐Related Skeletal Muscle Sarcopenia in Klotho Gene Mutant Mice, a Genetic Model of Aging (2025) DOI
- Ophthalmological Safety of Hydroxychloroquine in CKD (2023) DOI
- Vascular Function Indices Are Strong Predictors of the Severity and Characteristics of Carotid Atherosclerosis (2021) DOI
- Management of Cardiovascular Disease in Kidney Disease Study: Rationale and Design (2021) DOI
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