Mitchell Tang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- Mobile Health and mHealth Applications 2
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- Telemedicine and Telehealth Implementation 3
- Co-authors
- Ateev Mehrotra (6 shared papers)Robert S. Huckman (3 shared papers)A Jay Holmgren (3 shared papers)Chris Longhurst (1 shared paper)N. Lance Downing (1 shared paper)Christopher Sharp (1 shared paper)Ariel Dora Stern (5 shared papers)Gerard D. Schellenberg (3 shared papers)
- Journals
- JAMA Network Open (2 papers)Health Affairs (2 papers)Journal of the American Medical Informatics Association (1 paper)Journal of General Internal Medicine (1 paper)JAMA Internal Medicine (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Mitchell Tang
13 papers receiving 278 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 28
- Health Information Management 40
- Applied Psychology 16
- Public Health, Environmental and Occupational Health 54
- Family Practice 3
Countries citing papers authored by Mitchell Tang
This map shows the geographic impact of Mitchell Tang'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 Mitchell Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Tang more than expected).
Fields of papers citing papers by Mitchell Tang
This network shows the impact of papers produced by Mitchell Tang. 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 Mitchell Tang. The network helps show where Mitchell Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Tang, 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 | 116 | |
| 2 | 2018 | 36 | |
| 3 | 2022 | 30 | |
| 4 | 2022 | 22 | |
| 5 | 2019 | 21 | |
| 6 | 2024 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 8 | |
| 10 | 2014 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Mitchell Tang
Mitchell Tang is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 282 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (3 papers), Diabetes Management and Research (2 papers), Electronic Health Records Systems (2 papers), Mobile Health and mHealth Applications (2 papers), Genetic Associations and Epidemiology (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers) and Healthcare Systems and Technology (2 papers). The work is most often cited by research in Health Informatics (28 citations), Health Information Management (40 citations), Applied Psychology (16 citations), Public Health, Environmental and Occupational Health (54 citations) and Family Practice (3 citations). Mitchell Tang has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Ateev Mehrotra, Robert S. Huckman, A Jay Holmgren, Chris Longhurst, N. Lance Downing, Christopher Sharp, Ariel Dora Stern, Gerard D. Schellenberg, Li‐San Wang and Alexandre Amlie‐Wolf. Their work appears in journals such as JAMA Network Open, Health Affairs, Journal of the American Medical Informatics Association, Journal of General Internal Medicine and JAMA Internal 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.