Yan Chen
Impact in
- Cancer Research top 0.5%
- Physiology top 0.2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- TGF-β signaling in diseases 23
- Cell death mechanisms and regulation 17
- Metabolism, Diabetes, and Cancer 17
- Epidemiology 100
- Autophagy in Disease and Therapy 31
- Liver Disease Diagnosis and Treatment 21
- Co-authors
- Jason K. Kim (7 shared papers)Gerald I. Shulman (7 shared papers)Chunli Yu (4 shared papers)Daniel B. Rifkin (6 shared papers)Jonathan J. Fillmore (5 shared papers)Irene K. Moore (4 shared papers)Justin P. Annes (2 shared papers)John S. Munger (1 shared paper)
- Journals
- Journal of Biological Chemistry (12 papers)PLoS ONE (12 papers)Scientific Reports (8 papers)Diabetes (7 papers)Frontiers in Endocrinology (7 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Chen
603 papers receiving 19.0k citations
Yan Chen's Hit Papers
Peers
Comparison fields: 5 of 194
- Cancer Research 1.9k
- Physiology 3.3k
- Molecular Biology 8.5k
- Biochemistry 750
- Epidemiology 2.9k
Countries citing papers authored by Yan Chen
This map shows the geographic impact of Yan Chen'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 Yan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Chen more than expected).
Fields of papers citing papers by Yan Chen
This network shows the impact of papers produced by Yan Chen. 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 Yan Chen. The network helps show where Yan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Chen, 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 629 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanism by Which Fatty Acids Inhibit Insulin Activation of Insulin Receptor Substrate-1 (IRS-1)-associated Phosphatidylinositol 3-Kinase Activity in Muscle Hit paper breakdown → | 2002 | 1251 |
| 2 | 2001 | 623 | |
| 3 | 2001 | 605 | |
| 4 | 2004 | 413 | |
| 5 | 2000 | 370 | |
| 6 | 2016 | 243 | |
| 7 | 2010 | 234 | |
| 8 | 2011 | 232 | |
| 9 | 2016 | 210 | |
| 10 | 2007 | 190 | |
| 11 | 2013 | 189 | |
| 12 | 2017 | 181 | |
| 13 | 2020 | 178 | |
| 14 | 2018 | 165 | |
| 15 | 2007 | 162 | |
| 16 | 1996 | 148 | |
| 17 | 2012 | 147 | |
| 18 | 1999 | 146 | |
| 19 | 2019 | 146 | |
| 20 | 2018 | 142 |
About Yan Chen
Yan Chen is a scholar working on Molecular Biology, Epidemiology, Physiology, Oncology and Cancer Research, having authored 629 papers that have together received 19.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (31 papers), Adipose Tissue and Metabolism (24 papers), TGF-β signaling in diseases (23 papers), Liver Disease Diagnosis and Treatment (21 papers), Pancreatic function and diabetes (20 papers), Liver physiology and pathology (20 papers), Cell death mechanisms and regulation (17 papers) and Metabolism, Diabetes, and Cancer (17 papers). The work is most often cited by research in Cancer Research (1.9k citations), Physiology (3.3k citations), Molecular Biology (8.5k citations), Biochemistry (750 citations) and Epidemiology (2.9k citations). Yan Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jason K. Kim, Gerald I. Shulman, Chunli Yu, Daniel B. Rifkin, Jonathan J. Fillmore, Irene K. Moore, Justin P. Annes, John S. Munger, Samuel W. Cushman and Yanlin Wang. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Scientific Reports, Diabetes and Frontiers in Endocrinology.
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.