James Chan
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Social Media in Health Education
- Communication top 10%
- Social Media and Politics
Papers in
-
- Clinical Reasoning and Diagnostic Skills 3
- Health 3
- Co-authors
- Adrian BaileyDavid HuynhHeidi Oi‐Yee LiTimothy J. WoodSusan Humphrey‐MurtoDebra PughUrsula ManuelpillaiVijesh Vaghjiani
In The Last Decade
James Chan
16 papers receiving 565 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Health 189
- Communication 78
- Family Practice 22
- Sociology and Political Science 299
- Modeling and Simulation 31
Countries citing papers authored by James Chan
This map shows the geographic impact of James Chan'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 James Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Chan more than expected).
Fields of papers citing papers by James Chan
This network shows the impact of papers produced by James Chan. 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 James Chan. The network helps show where James Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside James Chan, 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 | 2021 | 6 | |
| 2 | YouTube as a source of information on COVID-19: a pandemic of misinformation? Hit paper breakdown → | 2020 | 470 |
| 3 | 2020 | 4 | |
| 4 | Building a CTU Orientation Handbook iPad® application for first-year residents | 2019 | 1 |
| 5 | 2019 | 1 | |
| 6 | 2018 | 7 | |
| 7 | 2018 | 1 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 1 | |
| 12 | 2014 | 19 | |
| 13 | 2013 | 29 | |
| 14 | 2011 | 1 | |
| 15 | A molecular Trojan horse: hijacking the bone marrow to treat autoimmune diseases. | 2010 | 1 |
| 16 | 2006 | 8 |
About James Chan
James Chan is a scholar working on Family Practice, Health, Radiology, Nuclear Medicine and Imaging, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 586 indexed citations. Recurring topics across this work include Innovations in Medical Education (4 papers), Clinical Reasoning and Diagnostic Skills (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Radiology practices and education (3 papers), Misinformation and Its Impacts (2 papers), Mobile Learning in Education (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Health (189 citations), Communication (78 citations), Family Practice (22 citations), Sociology and Political Science (299 citations) and Modeling and Simulation (31 citations). James Chan has collaborated with scholars based in Canada, Australia and Belarus. Frequent co-authors include Adrian Bailey, David Huynh, Heidi Oi‐Yee Li, Timothy J. Wood, Susan Humphrey‐Murto, Debra Pugh, Ursula Manuelpillai, Vijesh Vaghjiani, Padma Murthi and Jing Yang Tee. Their work appears in journals such as Current Stem Cell Research & Therapy, Advances in Health Sciences Education, BMJ Global Health, Medical Education and Canadian Journal of Diabetes.
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.