Ming Yan
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Nutrition and Dietetics top 5%
- Sodium Intake and Health
Papers in
-
- Ion Transport and Channel Regulation 3
- Bone Metabolism and Diseases 2
- Surgery 6
- Co-authors
- Ramille N. Shah (3 shared papers)Phillip L. Lewis (3 shared papers)Shmuel Muallem (3 shared papers)Min Goo Lee (3 shared papers)Xiaoxiang Zheng (5 shared papers)Kedi Xu (3 shared papers)Phillip Ruiz (3 shared papers)Steven D. Crowley (3 shared papers)
- Journals
- Molecular and Cellular Biochemistry (2 papers)American Journal of Physiology-Cell Physiology (2 papers)Bioactive Materials (1 paper)Journal of Lipid Research (1 paper)Burns (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Ming Yan
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Physiology 85
- Nutrition and Dietetics 198
- Cardiology and Cardiovascular Medicine 225
- Endocrine and Autonomic Systems 66
- Endocrinology, Diabetes and Metabolism 154
Countries citing papers authored by Ming Yan
This map shows the geographic impact of Ming Yan'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 Ming Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yan more than expected).
Fields of papers citing papers by Ming Yan
This network shows the impact of papers produced by Ming Yan. 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 Ming Yan. The network helps show where Ming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 138 | |
| 2 | 2008 | 131 | |
| 3 | 2012 | 102 | |
| 4 | 2009 | 74 | |
| 5 | 1999 | 63 | |
| 6 | 2010 | 63 | |
| 7 | 2010 | 63 | |
| 8 | 1998 | 62 | |
| 9 | 2018 | 58 | |
| 10 | 2010 | 54 | |
| 11 | 2018 | 50 | |
| 12 | 2018 | 45 | |
| 13 | 2014 | 42 | |
| 14 | 2011 | 39 | |
| 15 | 1998 | 28 | |
| 16 | 2010 | 27 | |
| 17 | 2023 | 24 | |
| 18 | 2016 | 21 | |
| 19 | 2009 | 19 | |
| 20 | 2010 | 10 |
About Ming Yan
Ming Yan is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sodium Intake and Health (3 papers), Renin-Angiotensin System Studies (3 papers), Ion Transport and Channel Regulation (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Bone Metabolism and Diseases (2 papers), Bone Tissue Engineering Materials (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (85 citations), Nutrition and Dietetics (198 citations), Cardiology and Cardiovascular Medicine (225 citations), Endocrine and Autonomic Systems (66 citations) and Endocrinology, Diabetes and Metabolism (154 citations). Ming Yan has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Ramille N. Shah, Phillip L. Lewis, Shmuel Muallem, Min Goo Lee, Xiaoxiang Zheng, Kedi Xu, Phillip Ruiz, Steven D. Crowley, David N. Howell and Robert Griffiths. Their work appears in journals such as Molecular and Cellular Biochemistry, American Journal of Physiology-Cell Physiology, Bioactive Materials, Journal of Lipid Research and Burns.
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.