Brian C. Gin
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
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- Artificial Intelligence in Healthcare and Education 6
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- Clinical Reasoning and Diagnostic Skills 4
- Co-authors
- Christy Boscardin (9 shared papers)Karen E. Hauer (3 shared papers)Raja-Elie E. Abdulnour (3 shared papers)Martin Pusic (1 shared paper)Stefanie S. Sebok‐Syer (1 shared paper)Monica M. Cuddy (1 shared paper)Martin G. Tolsgaard (1 shared paper)Mark D. Syer (1 shared paper)
- Journals
- Academic Medicine (4 papers)Medical Education (2 papers)Obstetrical & Gynecological Survey (1 paper)Teaching and Learning in Medicine (1 paper)Advances in Health Sciences Education (1 paper)
- Partner nations
- United StatesNetherlandsNorway
In The Last Decade
Brian C. Gin
12 papers receiving 380 citations
Brian C. Gin's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 218
- Family Practice 33
- Computer Science Applications 23
- Health Information Management 10
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Brian C. Gin
This map shows the geographic impact of Brian C. Gin'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 Brian C. Gin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Gin more than expected).
Fields of papers citing papers by Brian C. Gin
This network shows the impact of papers produced by Brian C. Gin. 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 Brian C. Gin. The network helps show where Brian C. Gin may publish in the future.
Co-authors
The 21 scholars most cited alongside Brian C. Gin, 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 | 2023 | 233 | |
| 2 | 2023 | 73 | |
| 3 | Educational Strategies for Clinical Supervision of Artificial Intelligence Use Hit paper breakdown → | 2025 | 28 |
| 4 | 2021 | 21 | |
| 5 | 2024 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 5 | |
| 9 | 2025 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2026 | 0 | |
| 14 | 2018 | 0 |
About Brian C. Gin
Brian C. Gin is a scholar working on Health Informatics, Family Practice, Public Health, Environmental and Occupational Health, General Health Professions and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Clinical Reasoning and Diagnostic Skills (4 papers), Innovations in Medical Education (4 papers), Simulation-Based Education in Healthcare (1 paper), Behavioral Health and Interventions (1 paper), Foreign Body Medical Cases (1 paper), Ethics in medical practice (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Health Informatics (218 citations), Family Practice (33 citations), Computer Science Applications (23 citations), Health Information Management (10 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Brian C. Gin has collaborated with scholars based in United States, Netherlands and Norway. Frequent co-authors include Christy Boscardin, Karen E. Hauer, Raja-Elie E. Abdulnour, Martin Pusic, Stefanie S. Sebok‐Syer, Monica M. Cuddy, Martin G. Tolsgaard, Mark D. Syer, Morten Bo Søndergaard Svendsen and Patricia O’Sullivan. Their work appears in journals such as Academic Medicine, Medical Education, Obstetrical & Gynecological Survey, Teaching and Learning in Medicine and Advances in Health Sciences Education.
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.