Li Chen
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Viral Infections and Immunology Research
Papers in
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- Circular RNAs in diseases 18
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- MicroRNA in disease regulation 36
- Cancer-related molecular mechanisms research 19
- Co-authors
- George A. Wells (5 shared papers)Rob Beanlands (8 shared papers)Benjamin J.W. Chow (9 shared papers)Terrence D. Ruddy (6 shared papers)Michael J. Fine (1 shared paper)Julio A. Chirinos (1 shared paper)Daniel M. Musher (1 shared paper)Vicente Corrales‐Medina (1 shared paper)
- Journals
- PLoS ONE (12 papers)Medicine (10 papers)Scientific Reports (8 papers)Frontiers in Oncology (7 papers)Journal of Hepatology (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Chen
360 papers receiving 7.9k citations
Peers
Comparison fields: 5 of 166
- Cancer Research 1.2k
- Cardiology and Cardiovascular Medicine 955
- Epidemiology 1.3k
- Radiology, Nuclear Medicine and Imaging 855
- Molecular Biology 2.1k
Countries citing papers authored by Li Chen
This map shows the geographic impact of Li 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 Li Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Chen more than expected).
Fields of papers citing papers by Li Chen
This network shows the impact of papers produced by Li 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 Li Chen. The network helps show where Li Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 379 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 341 | |
| 2 | 2012 | 319 | |
| 3 | 2004 | 261 | |
| 4 | 2006 | 261 | |
| 5 | 2010 | 202 | |
| 6 | 2014 | 138 | |
| 7 | 2014 | 122 | |
| 8 | 2009 | 117 | |
| 9 | 2009 | 115 | |
| 10 | 2014 | 104 | |
| 11 | 2018 | 97 | |
| 12 | 2022 | 95 | |
| 13 | 2019 | 95 | |
| 14 | 2012 | 89 | |
| 15 | 2019 | 87 | |
| 16 | 2014 | 86 | |
| 17 | 2020 | 83 | |
| 18 | 2017 | 78 | |
| 19 | 2018 | 78 | |
| 20 | 2014 | 71 |
About Li Chen
Li Chen is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 379 papers that have together received 8.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (36 papers), Autophagy in Disease and Therapy (27 papers), Cancer-related molecular mechanisms research (19 papers), Circular RNAs in diseases (18 papers), Endoplasmic Reticulum Stress and Disease (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (12 papers), Cancer Mechanisms and Therapy (11 papers) and Inflammatory Biomarkers in Disease Prognosis (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Cardiology and Cardiovascular Medicine (955 citations), Epidemiology (1.3k citations), Radiology, Nuclear Medicine and Imaging (855 citations) and Molecular Biology (2.1k citations). Li Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include George A. Wells, Rob Beanlands, Benjamin J.W. Chow, Terrence D. Ruddy, Michael J. Fine, Julio A. Chirinos, Daniel M. Musher, Vicente Corrales‐Medina, Yeung Yam and Ben Singer. Their work appears in journals such as PLoS ONE, Medicine, Scientific Reports, Frontiers in Oncology and Journal of Hepatology.
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.