Mingyi Wang
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
-
- Cardiovascular Health and Disease Prevention
- Cardiovascular Function and Risk Factors
Papers in
- Immunology 24
- Atherosclerosis and Cardiovascular Diseases 14
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- Cardiac Fibrosis and Remodeling 6
- Co-authors
- Edward G. Lakatta (48 shared papers)Robert E. Monticone (28 shared papers)Anna Csiszár (3 shared papers)Zoltán Ungvári (3 shared papers)Gaia Spinetti (8 shared papers)Liqun Jiang (9 shared papers)Gianfranco Pintus (8 shared papers)Richard Telljohann (10 shared papers)
- Journals
- Hypertension (7 papers)PLoS ONE (3 papers)Aging Cell (3 papers)International Journal of Molecular Sciences (3 papers)World Neurosurgery (3 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Mingyi Wang
96 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 130
- Aging 207
- Cardiology and Cardiovascular Medicine 1.2k
- Geriatrics and Gerontology 171
- Immunology 747
- Physiology 786
Countries citing papers authored by Mingyi Wang
This map shows the geographic impact of Mingyi Wang'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 Mingyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyi Wang more than expected).
Fields of papers citing papers by Mingyi Wang
This network shows the impact of papers produced by Mingyi Wang. 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 Mingyi Wang. The network helps show where Mingyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyi Wang, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 379 | |
| 2 | 2007 | 222 | |
| 3 | 2006 | 214 | |
| 4 | 2020 | 203 | |
| 5 | 2011 | 202 | |
| 6 | 2003 | 200 | |
| 7 | 2003 | 184 | |
| 8 | 2009 | 166 | |
| 9 | 2015 | 164 | |
| 10 | 2013 | 162 | |
| 11 | 2015 | 158 | |
| 12 | 2004 | 157 | |
| 13 | 2005 | 151 | |
| 14 | 2012 | 151 | |
| 15 | 2002 | 142 | |
| 16 | 2010 | 132 | |
| 17 | 2010 | 132 | |
| 18 | 2012 | 109 | |
| 19 | 2010 | 102 | |
| 20 | 2008 | 98 |
About Mingyi Wang
Mingyi Wang is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Molecular Biology, Cancer Research and Surgery, having authored 99 papers that have together received 4.9k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (14 papers), Protease and Inhibitor Mechanisms (13 papers), Aortic aneurysm repair treatments (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Intracranial Aneurysms: Treatment and Complications (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Aging (207 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Geriatrics and Gerontology (171 citations), Immunology (747 citations) and Physiology (786 citations). Mingyi Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include Edward G. Lakatta, Robert E. Monticone, Anna Csiszár, Zoltán Ungvári, Gaia Spinetti, Liqun Jiang, Gianfranco Pintus, Richard Telljohann, Di Zhao and Ajay M. Shah. Their work appears in journals such as Hypertension, PLoS ONE, Aging Cell, International Journal of Molecular Sciences and World Neurosurgery.
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.