Yumin Gao
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Cardiac Health and Mental Health
- Cardiovascular Health and Risk Factors
Papers in
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- Cardiac Health and Mental Health 4
- Cardiovascular Health and Risk Factors 3
- Surgery 3
- Co-authors
- Eric D. Peterson (2 shared papers)Neha J. Pagidipati (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)Yejin Mok (3 shared papers)Junichi Ishigami (2 shared papers)
- Journals
- Atherosclerosis (2 papers)Journal of the American Heart Association (2 papers)Circulation (2 papers)Global Heart (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesChinaSouth Africa
In The Last Decade
Yumin Gao
17 papers receiving 361 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 104
- Cardiology and Cardiovascular Medicine 127
- Health Information Management 25
- Family Practice 11
- Endocrinology, Diabetes and Metabolism 75
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 | 113 | |
| 2 | 2022 | 60 | |
| 3 | 2020 | 51 | |
| 4 | 2023 | 39 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2021 | 0 | |
| 20 | 2023 | 0 |
About Yumin Gao
Yumin Gao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, General Health Professions, Oncology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 375 indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (4 papers), Cardiovascular Health and Risk Factors (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Telemedicine and Telehealth Implementation (2 papers), COVID-19 Clinical Research Studies (2 papers), Mobile Health and mHealth Applications (2 papers), Stroke Rehabilitation and Recovery (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Infectious Diseases (104 citations), Cardiology and Cardiovascular Medicine (127 citations), Health Information Management (25 citations), Family Practice (11 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Yumin Gao has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Eric D. Peterson, Neha J. Pagidipati, Seth S. Martin, Kunihiro Matsushita, Jie Ding, Lawrence J. Appel, Yejin Mok, Junichi Ishigami, Yasuyuki Honda and David W. Dowdy. Their work appears in journals such as Atherosclerosis, Journal of the American Heart Association, Circulation, Global Heart and JAMA Network Open.
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.