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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- Clinical Reasoning and Diagnostic Skills 6
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- Innovations in Medical Education 6
- Co-authors
- Christy Boscardin (8 shared papers)Karen E. Hauer (4 shared papers)Stefanie S. Sebok‐Syer (1 shared paper)Martin G. Tolsgaard (1 shared paper)Monica M. Cuddy (1 shared paper)Mark D. Syer (1 shared paper)Martin Pusic (1 shared paper)Morten Bo Søndergaard Svendsen (1 shared paper)
- Journals
- Academic Medicine (4 papers)Medical Education (2 papers)Advances in Health Sciences Education (1 paper)Psychometrika (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Brian C. Gin
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 202
- Family Practice 62
- Computer Science Applications 22
- Radiology, Nuclear Medicine and Imaging 82
- Health Information Management 14
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 19 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 | 197 | |
| 2 | 2023 | 64 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 8 | |
| 5 | 2025 | 8 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2020 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 |
About Brian C. Gin
Brian C. Gin is a scholar working on Family Practice, Public Health, Environmental and Occupational Health, Health Informatics, Radiology, Nuclear Medicine and Imaging and General Health Professions, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Innovations in Medical Education (6 papers), Clinical Reasoning and Diagnostic Skills (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Simulation-Based Education in Healthcare (2 papers), Radiology practices and education (2 papers), Social and Intergroup Psychology (1 paper), Behavioral Health and Interventions (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Health Informatics (202 citations), Family Practice (62 citations), Computer Science Applications (22 citations), Radiology, Nuclear Medicine and Imaging (82 citations) and Health Information Management (14 citations). Brian C. Gin has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Christy Boscardin, Karen E. Hauer, Stefanie S. Sebok‐Syer, Martin G. Tolsgaard, Monica M. Cuddy, Mark D. Syer, Martin Pusic, Morten Bo Søndergaard Svendsen, Patricia O’Sullivan and Olle ten Cate. Their work appears in journals such as Academic Medicine, Medical Education, Advances in Health Sciences Education, Psychometrika and New England Journal of Medicine.
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.