Congye Li
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
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- Cardiovascular Function and Risk Factors
Papers in
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- Mitochondrial Function and Pathology 8
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- Cardiac Fibrosis and Remodeling 12
- Cardiovascular Function and Risk Factors 10
- Co-authors
- Feng Cao (18 shared papers)Miaomiao Fan (18 shared papers)Erhe Gao (17 shared papers)Yingmei Zhang (9 shared papers)Dong Han (12 shared papers)Jun Ren (8 shared papers)Jiangwei Chen (9 shared papers)Sai Ma (10 shared papers)
- Journals
- Advanced Science (7 papers)Theranostics (6 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (5 papers)Biochemical and Biophysical Research Communications (4 papers)Oxidative Medicine and Cellular Longevity (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Congye Li
83 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 126
- Geriatrics and Gerontology 282
- Cardiology and Cardiovascular Medicine 661
- Physiology 125
- Genetics 260
- Epidemiology 752
Countries citing papers authored by Congye Li
This map shows the geographic impact of Congye Li'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 Congye Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congye Li more than expected).
Fields of papers citing papers by Congye Li
This network shows the impact of papers produced by Congye Li. 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 Congye Li. The network helps show where Congye Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Congye Li, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 224 | |
| 2 | 2018 | 222 | |
| 3 | 2019 | 185 | |
| 4 | 2018 | 184 | |
| 5 | 2017 | 178 | |
| 6 | 2016 | 156 | |
| 7 | 2020 | 146 | |
| 8 | 2020 | 111 | |
| 9 | 2016 | 106 | |
| 10 | 2010 | 106 | |
| 11 | 2015 | 104 | |
| 12 | 2013 | 99 | |
| 13 | 2020 | 95 | |
| 14 | 2020 | 94 | |
| 15 | 2020 | 93 | |
| 16 | 2020 | 91 | |
| 17 | 2014 | 90 | |
| 18 | 2020 | 78 | |
| 19 | 2016 | 75 | |
| 20 | 2015 | 71 |
About Congye Li
Congye Li is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Genetics and Physiology, having authored 87 papers that have together received 3.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Autophagy in Disease and Therapy (15 papers), Cardiac Fibrosis and Remodeling (12 papers), Adipose Tissue and Metabolism (11 papers), Cardiovascular Function and Risk Factors (10 papers), Cardiac Ischemia and Reperfusion (9 papers), Mitochondrial Function and Pathology (8 papers) and Tissue Engineering and Regenerative Medicine (6 papers). The work is most often cited by research in Geriatrics and Gerontology (282 citations), Cardiology and Cardiovascular Medicine (661 citations), Physiology (125 citations), Genetics (260 citations) and Epidemiology (752 citations). Congye Li has collaborated with scholars based in China and United States. Frequent co-authors include Feng Cao, Miaomiao Fan, Erhe Gao, Yingmei Zhang, Dong Han, Jun Ren, Jiangwei Chen, Sai Ma, Yabin Wang and Haichang Wang. Their work appears in journals such as Advanced Science, Theranostics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Biochemical and Biophysical Research Communications and Oxidative Medicine and Cellular Longevity.
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.