Mingyi Wang

11.2k citations
109 papers · 9.5k · 1 hit paper · h-index 39

Impact in

Papers in

Mingyi Wang

106 papers receiving 9.3k citations

Mingyi Wang's Hit Papers

Resveratrol improves health and survival of mice on a high-calorie diet 2006 · 3.7k citations
3.7k0+6+13Years since publication10002.0k3.0k

Peers

Mingyi Wang
Comparison fields: 5 of 154
  • Geriatrics and Gerontology 2.1k
  • Aging 729
  • Physiology 2.4k
  • Biochemistry 485
  • Cardiology and Cardiovascular Medicine 1.5k
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Citations per field
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Citations per year

Countries citing papers authored by Mingyi Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mingyi Wang Line = papers co-authored together Mingyi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Resveratrol improves health and survival of mice on a high-calorie diet
Hit paper breakdown →
20063741
2 2008379
3 2007228
4 2006221
5 2020219
6 2011206
7 2003204
8 2020191
9 2003189
10 2014187
11 2009167
12 2015166
13 2015166
14 2013165
15 2004162
16 2012156
17 2005154
18 2002145
19 2010139
20 2010132

About Mingyi Wang

Mingyi Wang is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Cancer Research, Aging and Geriatrics and Gerontology, having authored 109 papers that have together received 9.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (14 papers), Atherosclerosis and Cardiovascular Diseases (13 papers), Aortic aneurysm repair treatments (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Cardiovascular Health and Disease Prevention (6 papers), Cardiovascular Disease and Adiposity (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers). The work is most often cited by research in Geriatrics and Gerontology (2.1k citations), Aging (729 citations), Physiology (2.4k citations), Biochemistry (485 citations) and Cardiology and Cardiovascular Medicine (1.5k citations). Mingyi Wang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Edward G. Lakatta, Robert E. Monticone, Anna Csiszár, Zoltan I. Ungvari, Gaia Spinetti, Liqun Jiang, Gianfranco Pintus, Richard S. Telljohann, Di Zhao and Ajay M. Shah. Their work appears in journals such as Hypertension, World Neurosurgery, Aging Cell, PLoS ONE and International Journal of Molecular Sciences.

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.

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