Benjamin Chin‐Yee
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Co-authors
- Ross Upshur (7 shared papers)Aliki Thomas (2 shared papers)Alejandro Lazo‐Langner (13 shared papers)Ayelet Kuper (2 shared papers)Ian Chin‐Yee (21 shared papers)Melissa Park (1 shared paper)Uwe Peters (2 shared papers)Leonard Minuk (5 shared papers)
- Journals
- Blood (9 papers)Journal of Evaluation in Clinical Practice (4 papers)Advances in Health Sciences Education (2 papers)Medical Humanities (2 papers)Blood Advances (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Benjamin Chin‐Yee
55 papers receiving 569 citations
Benjamin Chin‐Yee's Hit Papers
Peers
Comparison fields: 5 of 116
- Health Informatics 137
- Family Practice 30
- Hematology 45
- Genetics 38
- General Health Professions 79
Countries citing papers authored by Benjamin Chin‐Yee
This map shows the geographic impact of Benjamin Chin‐Yee'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 Benjamin Chin‐Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Chin‐Yee more than expected).
Fields of papers citing papers by Benjamin Chin‐Yee
This network shows the impact of papers produced by Benjamin Chin‐Yee. 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 Benjamin Chin‐Yee. The network helps show where Benjamin Chin‐Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Chin‐Yee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis Hit paper breakdown → | 2024 | 53 |
| 3 | 2020 | 50 | |
| 4 | 2022 | 46 | |
| 5 | 2017 | 43 | |
| 6 | 2014 | 35 | |
| 7 | 2015 | 25 | |
| 8 | 2011 | 22 | |
| 9 | Generalization bias in large language model summarization of scientific research Hit paper breakdown → | 2025 | 22 |
| 10 | 2021 | 20 | |
| 11 | 2014 | 15 | |
| 12 | 2019 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2011 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2017 | 8 | |
| 20 | 2022 | 7 |
About Benjamin Chin‐Yee
Benjamin Chin‐Yee is a scholar working on Genetics, Oncology, Hematology, Economics and Econometrics and General Health Professions, having authored 64 papers that have together received 592 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Empathy and Medical Education (5 papers), Mental Health and Psychiatry (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Biomedical Ethics and Regulation (3 papers), Complement system in diseases (3 papers) and Meta-analysis and systematic reviews (3 papers). The work is most often cited by research in Health Informatics (137 citations), Family Practice (30 citations), Hematology (45 citations), Genetics (38 citations) and General Health Professions (79 citations). Benjamin Chin‐Yee has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Ross Upshur, Aliki Thomas, Alejandro Lazo‐Langner, Ayelet Kuper, Ian Chin‐Yee, Melissa Park, Uwe Peters, Leonard Minuk, Bekim Sadiković and Bishal Gyawali. Their work appears in journals such as Blood, Journal of Evaluation in Clinical Practice, Advances in Health Sciences Education, Medical Humanities and Blood Advances.
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.