Wisit Cheungpasitporn is an expert in Nephrology at Mayo Clinic (United States, Rochester) (United States). As of October 2026, ScienceLeadR ranks Wisit Cheungpasitporn in the top 1% of experts worldwide for Uremia, Renal Insufficiency and Artificial Intelligence. Wisit Cheungpasitporn has authored 852 publications, the most recent in 2026. SLR score: 2,849 (community average: 125). How the SLR is computed.

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Wisit Cheungpasitporn Mayo Clinic (United States, Rochester) United States
2 849 ScienceLeadR Reputation 2849
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Nephrology

Subspecialties: Transplantation - Urology - Informatics

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Short Biography

Wisit Cheungpasitporn, M.D., FACP, FASN, FAST is a Professor of Medicine at Mayo Clinic in Rochester, Minnesota, and a recognized leader in advancing artificial intelligence (AI) in nephrology. He serves as AI Content Lead and Course Director at the Mayo Clinic Alix School of Medicine, where he develops and implements frameworks for integrating AI and machine learning into medical education and kidney care.

Global Leadership in AI and Innovation Dr. Cheungpasitporn plays a central role in shaping the global direction of AI in kidney health. He is a core member of the Steering Committee for the American Society of Nephrology’s Partnership for Responsible AI in Kidney Health and a contributing author to the landmark consensus statement, “Responsible Use of Artificial Intelligence to Improve Kidney Care,” which provides a strategic and ethical roadmap for AI adoption worldwide. He also serves as a Workgroup Leader for the KDIGO Controversies Conference on Technological Advancements, helping define the next generation of guideline-informed, technology-enabled nephrology care.

Education, Research, and Clinical Impact An award-winning educator and researcher, Dr. Cheungpasitporn has received the Donald C. Balfour Research Award and multiple Teacher of the Year honors. He leads multidisciplinary AI education initiatives spanning medical students, trainees, and practicing clinicians, with a focus on real-world clinical integration, decision support, and workflow optimization. His research focuses on translating AI into actionable clinical tools in acute kidney injury, chronic kidney disease, dialysis, and transplantation, bridging innovation with patient-centered outcomes.

Vision for the Future of Kidney Care Dr. Cheungpasitporn is committed to advancing a future where AI enhances—not replaces—clinical expertise. His work emphasizes responsible implementation, transparency, and equity, while fostering collaboration among clinicians, engineers, and data scientists. He is also dedicated to improving AI literacy among patients and the public, ensuring that digital health innovations remain accessible, trustworthy, and aligned with patient needs.

Organizations

Career arc: 2011 - 2026

Source: PubMed

Mayo Clinic (United States, Rochester)

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 852

Citations

Citations: 12 689 1st author: 90 Last author: 364 Unique author: 0


Best Journals

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Machine Learning as a Multifaceted Tool in Glomerular Diseases: Beyond Risk Prediction.
PMID 42923886 — telepathology, supervised machine learning, pathology, machine learning, therapeutics, learning
Glomerular Dis20260
What if your AI science buddy never sleeps?
PMID 42892151
J Epidemiol Popul Health20260
Current and Future Applications of AI-Driven Predictive Modeling and a Proposed Framework for AI-Bioprognostics in Kidney Care.
PMID 42820098 — pathology, kidney, biomarkers, machine learning, nephrology, deep learning, learning, artificial intelligence, transplantation, acute kidney injury
Risk Manag Healthc Policy20260
Artificial Intelligence in Nephrology Practice: Practical Pathways to Improve Efficiency.
PMID 42776595 — intelligence, kidney, nephrology, artificial intelligence
Kidney36020260
AI Structural Biology in Nephrology: Powerful Scaffolds, Fragile Certainties.
PMID 42627689 — kidney diseases, tomography, electron microscope tomography, kidney, nephrology, artificial intelligence
J Am Soc Nephrol20260

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