Michael L. Chen
Impact in
- Health Informatics top 10%
Papers in
-
- Nonmelanoma Skin Cancer Studies 2
-
- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- J. Gordon McComb (1 shared paper)Mark D. Krieger (1 shared paper)Luca Freschi (2 shared papers)Isaac S. Kohane (2 shared papers)Maha Farhat (2 shared papers)Andrew L. Beam (2 shared papers)Eleni Linos (8 shared papers)Jiyeong Kim (11 shared papers)
- Journals
- JAMA Network Open (3 papers)npj Digital Medicine (3 papers)British Journal of Dermatology (2 papers)JAMA Oncology (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Michael L. Chen
20 papers receiving 345 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 17
- Applied Microbiology and Biotechnology 10
- Dermatology 27
- Infectious Diseases 52
- Molecular Medicine 14
Countries citing papers authored by Michael L. Chen
This map shows the geographic impact of Michael L. Chen'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 Michael L. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Chen more than expected).
Fields of papers citing papers by Michael L. Chen
This network shows the impact of papers produced by Michael L. Chen. 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 Michael L. Chen. The network helps show where Michael L. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael L. Chen, 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 | 2003 | 74 | |
| 2 | 2019 | 67 | |
| 3 | 2022 | 49 | |
| 4 | 2005 | 41 | |
| 5 | 2024 | 24 | |
| 6 | 2022 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 11 | |
| 10 | 2025 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Michael L. Chen
Michael L. Chen is a scholar working on Epidemiology, Health Informatics, Oncology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Telemedicine and Telehealth Implementation (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Machine Learning in Healthcare (2 papers), Tuberculosis Research and Epidemiology (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Polyomavirus and related diseases (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Health Informatics (17 citations), Applied Microbiology and Biotechnology (10 citations), Dermatology (27 citations), Infectious Diseases (52 citations) and Molecular Medicine (14 citations). Michael L. Chen has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include J. Gordon McComb, Mark D. Krieger, Luca Freschi, Isaac S. Kohane, Maha Farhat, Andrew L. Beam, Eleni Linos, Jiyeong Kim, James C. Reynolds and Carolyn A. Bondy. Their work appears in journals such as JAMA Network Open, npj Digital Medicine, British Journal of Dermatology, JAMA Oncology and Nature Communications.
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.