Feng Chen
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Modeling and Simulation top 1%
Papers in
-
- Cancer-related molecular mechanisms research 39
- MicroRNA in disease regulation 39
- Hepatology 28
- Co-authors
- Li Guo (21 shared papers)Yongyue Wei (66 shared papers)D Christiani (55 shared papers)Hongbing Shen (40 shared papers)Sheng Yang (22 shared papers)Ruyang Zhang (54 shared papers)Zhibin Hu (26 shared papers)Sipeng Shen (33 shared papers)
- Journals
- PLoS ONE (19 papers)Frontiers in Oncology (10 papers)Gene (8 papers)Molecular Biology Reports (6 papers)Frontiers in Immunology (6 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Feng Chen
437 papers receiving 10.5k citations
Peers
Comparison fields: 5 of 197
- Cancer Research 1.9k
- Modeling and Simulation 280
- Molecular Biology 4.0k
- Hepatology 384
- Oncology 1.2k
Countries citing papers authored by Feng Chen
This map shows the geographic impact of Feng 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 Feng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chen more than expected).
Fields of papers citing papers by Feng Chen
This network shows the impact of papers produced by Feng 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 Feng Chen. The network helps show where Feng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 467 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 246 | |
| 2 | 2010 | 200 | |
| 3 | 2005 | 198 | |
| 4 | 2009 | 196 | |
| 5 | 1995 | 192 | |
| 6 | 2018 | 187 | |
| 7 | 2019 | 171 | |
| 8 | 2016 | 147 | |
| 9 | 2015 | 130 | |
| 10 | 2010 | 128 | |
| 11 | 2011 | 125 | |
| 12 | 2014 | 121 | |
| 13 | 2021 | 121 | |
| 14 | 1994 | 115 | |
| 15 | 2012 | 112 | |
| 16 | 2007 | 110 | |
| 17 | 1995 | 108 | |
| 18 | 2014 | 96 | |
| 19 | 2015 | 95 | |
| 20 | 2017 | 94 |
About Feng Chen
Feng Chen is a scholar working on Cancer Research, Hepatology, Molecular Biology, Epidemiology and Genetics, having authored 467 papers that have together received 10.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (39 papers), MicroRNA in disease regulation (39 papers), RNA modifications and cancer (30 papers), Genetic Associations and Epidemiology (18 papers), RNA Research and Splicing (17 papers), Circular RNAs in diseases (17 papers), Epigenetics and DNA Methylation (15 papers) and COVID-19 epidemiological studies (13 papers). The work is most often cited by research in Cancer Research (1.9k citations), Modeling and Simulation (280 citations), Molecular Biology (4.0k citations), Hepatology (384 citations) and Oncology (1.2k citations). Feng Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Li Guo, Yongyue Wei, D Christiani, Hongbing Shen, Sheng Yang, Ruyang Zhang, Zhibin Hu, Sipeng Shen, Yang Zhao and Yang Zhao. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, Gene, Molecular Biology Reports and Frontiers in Immunology.
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.