Min Chen
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Immunology top 1%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Metabolism, Diabetes, and Cancer 11
- Epidemiology 72
- Hepatitis B Virus Studies 28
- Autophagy in Disease and Therapy 28
- Co-authors
- Jin Wang (24 shared papers)Lee S. Weinstein (39 shared papers)Héctor Sandoval (4 shared papers)Armin Schumacher (2 shared papers)Josef T. Prchal (2 shared papers)Swapan Dasgupta (2 shared papers)Perumal Thiagarajan (2 shared papers)Jie Liu (4 shared papers)
- Journals
- Blood (8 papers)Endocrinology (8 papers)Virology (7 papers)Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Min Chen
261 papers receiving 11.1k citations
Min Chen's Hit Papers
Peers
Comparison fields: 5 of 160
- Hepatology 781
- Immunology 2.1k
- Epidemiology 2.8k
- Oncology 1.6k
- Cancer Research 853
Countries citing papers authored by Min Chen
This map shows the geographic impact of Min 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 Min Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Chen more than expected).
Fields of papers citing papers by Min Chen
This network shows the impact of papers produced by Min 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 Min Chen. The network helps show where Min Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 272 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Essential role for Nix in autophagic maturation of erythroid cells Hit paper breakdown → | 2008 | 997 |
| 2 | 1996 | 419 | |
| 3 | 2002 | 404 | |
| 4 | 2014 | 294 | |
| 5 | 2009 | 288 | |
| 6 | 2006 | 280 | |
| 7 | 2004 | 264 | |
| 8 | 2011 | 180 | |
| 9 | 2013 | 178 | |
| 10 | 2014 | 173 | |
| 11 | 2004 | 167 | |
| 12 | 2018 | 160 | |
| 13 | 2005 | 154 | |
| 14 | 2013 | 136 | |
| 15 | 1997 | 131 | |
| 16 | 2012 | 127 | |
| 17 | 2008 | 125 | |
| 18 | 2001 | 119 | |
| 19 | 1999 | 116 | |
| 20 | 2013 | 114 |
About Min Chen
Min Chen is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Physiology, having authored 272 papers that have together received 11.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (28 papers), Autophagy in Disease and Therapy (28 papers), Cytokine Signaling Pathways and Interactions (19 papers), Immune Cell Function and Interaction (18 papers), Hepatitis C virus research (14 papers), Genetic Syndromes and Imprinting (13 papers), Immunotherapy and Immune Responses (12 papers) and Metabolism, Diabetes, and Cancer (11 papers). The work is most often cited by research in Hepatology (781 citations), Immunology (2.1k citations), Epidemiology (2.8k citations), Oncology (1.6k citations) and Cancer Research (853 citations). Min Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Jin Wang, Lee S. Weinstein, Héctor Sandoval, Armin Schumacher, Josef T. Prchal, Swapan Dasgupta, Perumal Thiagarajan, Jie Liu, Tao Xie and T. S. Benedict Yen. Their work appears in journals such as Blood, Endocrinology, Virology, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.