Yumin Gao
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
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- Cardiac Health and Mental Health
- Blood Pressure and Hypertension Studies
- Cardiovascular Health and Risk Factors
Papers in
-
- Cardiac Health and Mental Health 3
- Heart Rate Variability and Autonomic Control 2
- Surgery 3
- Peripheral Artery Disease Management 2
- Co-authors
- Neha J. Pagidipati (2 shared papers)Eric D. Peterson (2 shared papers)Seth S. Martin (11 shared papers)Kunihiro Matsushita (7 shared papers)Jie Ding (5 shared papers)Lawrence J. Appel (3 shared papers)Ning Ding (2 shared papers)David W. Dowdy (2 shared papers)
- Journals
- Journal of the American Heart Association (2 papers)Circulation (2 papers)Atherosclerosis (2 papers)Hypertension (1 paper)European Heart Journal (1 paper)
- Partner nations
- United StatesSouth AfricaChina
In The Last Decade
Yumin Gao
18 papers receiving 392 citations
Peers
Comparison fields: 5 of 75
- Health Information Management 23
- Cardiology and Cardiovascular Medicine 94
- Health Informatics 6
- Infectious Diseases 80
- Endocrinology, Diabetes and Metabolism 54
Countries citing papers authored by Yumin Gao
This map shows the geographic impact of Yumin Gao'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 Yumin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumin Gao more than expected).
Fields of papers citing papers by Yumin Gao
This network shows the impact of papers produced by Yumin Gao. 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 Yumin Gao. The network helps show where Yumin Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yumin Gao, 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 | 2020 | 116 | |
| 2 | 2022 | 67 | |
| 3 | 2020 | 54 | |
| 4 | 2023 | 42 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2021 | 0 |
About Yumin Gao
Yumin Gao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Infectious Diseases and General Health Professions, having authored 20 papers that have together received 405 indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Diabetes Treatment and Management (2 papers), COVID-19 Clinical Research Studies (2 papers), Peripheral Artery Disease Management (2 papers), Stroke Rehabilitation and Recovery (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Information Management (23 citations), Cardiology and Cardiovascular Medicine (94 citations), Health Informatics (6 citations), Infectious Diseases (80 citations) and Endocrinology, Diabetes and Metabolism (54 citations). Yumin Gao has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include Neha J. Pagidipati, Eric D. Peterson, Seth S. Martin, Kunihiro Matsushita, Jie Ding, Lawrence J. Appel, Ning Ding, David W. Dowdy, Yasuyuki Honda and Yejin Mok. Their work appears in journals such as Journal of the American Heart Association, Circulation, Atherosclerosis, Hypertension and European Heart Journal.
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.