Ming Yuan
Impact in
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- Medicinal plant effects and applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Antiplatelet Therapy and Cardiovascular Diseases 2
- Cardiac electrophysiology and arrhythmias 2
- Co-authors
- Fei You (2 shared papers)Bin Wu (2 shared papers)Miaomiao Fan (2 shared papers)Jun Ren (4 shared papers)Ling Tao (3 shared papers)Feifei Yang (1 shared paper)Liwei Zhang (1 shared paper)Jingyu Zhou (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Obesity (1 paper)Hypertension Research (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ming Yuan
18 papers receiving 439 citations
Peers
Comparison fields: 5 of 89
- Complementary and alternative medicine 43
- Cancer Research 76
- Cardiology and Cardiovascular Medicine 91
- Behavioral Neuroscience 13
- Molecular Biology 221
Countries citing papers authored by Ming Yuan
This map shows the geographic impact of Ming Yuan'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 Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yuan more than expected).
Fields of papers citing papers by Ming Yuan
This network shows the impact of papers produced by Ming Yuan. 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 Yuan. The network helps show where Ming Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yuan, 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 | 92 | |
| 2 | 2017 | 76 | |
| 3 | 2017 | 69 | |
| 4 | 2015 | 39 | |
| 5 | 2019 | 33 | |
| 6 | 2015 | 26 | |
| 7 | 2011 | 23 | |
| 8 | 2008 | 20 | |
| 9 | 2011 | 16 | |
| 10 | 2012 | 15 | |
| 11 | 2015 | 12 | |
| 12 | 2010 | 10 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | [Role of ROK in contraction of rat femoral arteries after 14 d tail suspension]. | 2004 | 1 |
| 18 | 2011 | 1 | |
| 19 | 2023 | 0 |
About Ming Yuan
Ming Yuan is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Immunology and Surgery, having authored 19 papers that have together received 443 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cell Adhesion Molecules Research (2 papers), Adipose Tissue and Metabolism (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Inflammatory mediators and NSAID effects (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Coronary Interventions and Diagnostics (2 papers). The work is most often cited by research in Complementary and alternative medicine (43 citations), Cancer Research (76 citations), Cardiology and Cardiovascular Medicine (91 citations), Behavioral Neuroscience (13 citations) and Molecular Biology (221 citations). Ming Yuan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fei You, Bin Wu, Miaomiao Fan, Jun Ren, Ling Tao, Feifei Yang, Liwei Zhang, Jingyu Zhou, Congye Li and Junzhi Li. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Obesity, Hypertension Research, IEEE Transactions on Neural Networks and Learning Systems and International Immunopharmacology.
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.