Ryan Han
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Gun Ownership and Violence Research
Papers in
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- Artificial Intelligence in Healthcare and Education 1
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Eric J. Topol (1 shared paper)Julián Acosta (1 shared paper)Zahra Shakeri (1 shared paper)Stephanie D. Chao (4 shared papers)Julia M. Chandler (2 shared papers)Jordan S. Taylor (1 shared paper)Martin Boegemann (1 shared paper)Min Jung Cho (1 shared paper)
- Journals
- Journal of Pediatric Surgery (2 papers)Blood Advances (1 paper)PLoS ONE (1 paper)Scientific Reports (1 paper)The Lancet Digital Health (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Ryan Han
7 papers receiving 291 citations
Ryan Han's Hit Papers
Peers
Comparison fields: 5 of 63
- Health Informatics 99
- Health 29
- Emergency Medicine 22
- Radiology, Nuclear Medicine and Imaging 43
- Health Information Management 8
Countries citing papers authored by Ryan Han
This map shows the geographic impact of Ryan Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Han more than expected).
Fields of papers citing papers by Ryan Han
This network shows the impact of papers produced by Ryan Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Han. The network helps show where Ryan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review Hit paper breakdown → | 2024 | 192 |
| 2 | 2021 | 32 | |
| 3 | 2021 | 20 | |
| 4 | 2024 | 20 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2025 | 9 |
About Ryan Han
Ryan Han is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Health, Genetics and Hematology, having authored 7 papers that have together received 302 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Gun Ownership and Violence Research (1 paper), Injury Epidemiology and Prevention (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Suicide and Self-Harm Studies (1 paper) and Child Abuse and Related Trauma (1 paper). The work is most often cited by research in Health Informatics (99 citations), Health (29 citations), Emergency Medicine (22 citations), Radiology, Nuclear Medicine and Imaging (43 citations) and Health Information Management (8 citations). Ryan Han has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Eric J. Topol, Julián Acosta, Zahra Shakeri, Stephanie D. Chao, Julia M. Chandler, Jordan S. Taylor, Martin Boegemann, Min Jung Cho, Modupeola Diyaolu and Olaf Bettendorf. Their work appears in journals such as Journal of Pediatric Surgery, Blood Advances, PLoS ONE, Scientific Reports and The Lancet Digital Health.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.