Fei Chen
Impact in
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 6
- Co-authors
- Haoran Wang (1 shared paper)Ya-Bin Liu (1 shared paper)Yang Gao (1 shared paper)Minjun Wang (2 shared papers)Yiping Hu (2 shared papers)Joseph T.Y. Lau (1 shared paper)Jing‐He Tan (6 shared papers)Boling Guo (5 shared papers)
- Journals
- Scientific Reports (5 papers)Therapeutic Innovation & Regulatory Science (4 papers)Frontiers in Immunology (3 papers)Journal of Biopharmaceutical Statistics (2 papers)BMC Pregnancy and Childbirth (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Chen
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 147
- Obstetrics and Gynecology 279
- Infectious Diseases 206
- Hepatology 61
- Reproductive Medicine 64
- Behavioral Neuroscience 22
Countries citing papers authored by Fei Chen
This map shows the geographic impact of Fei 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 Fei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Chen more than expected).
Fields of papers citing papers by Fei Chen
This network shows the impact of papers produced by Fei 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 Fei Chen. The network helps show where Fei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 263 | |
| 2 | 2017 | 125 | |
| 3 | 2020 | 74 | |
| 4 | 2021 | 62 | |
| 5 | 2021 | 59 | |
| 6 | 2021 | 44 | |
| 7 | 2016 | 43 | |
| 8 | 2019 | 42 | |
| 9 | 2011 | 41 | |
| 10 | 2018 | 36 | |
| 11 | 2021 | 32 | |
| 12 | 2005 | 29 | |
| 13 | 2017 | 23 | |
| 14 | 2016 | 23 | |
| 15 | 2015 | 22 | |
| 16 | 2023 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2012 | 19 | |
| 19 | 2018 | 17 | |
| 20 | 2022 | 16 |
About Fei Chen
Fei Chen is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Statistics and Probability and Obstetrics and Gynecology, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Navier-Stokes equation solutions (8 papers), Advanced Mathematical Physics Problems (8 papers), Statistical Methods in Clinical Trials (8 papers), Reproductive Biology and Fertility (8 papers), COVID-19 Clinical Research Studies (6 papers) and Long-Term Effects of COVID-19 (6 papers). The work is most often cited by research in Obstetrics and Gynecology (279 citations), Infectious Diseases (206 citations), Hepatology (61 citations), Reproductive Medicine (64 citations) and Behavioral Neuroscience (22 citations). Fei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haoran Wang, Ya-Bin Liu, Yang Gao, Minjun Wang, Yiping Hu, Joseph T.Y. Lau, Jing‐He Tan, Boling Guo, Yongsheng Li and Juan Lin. Their work appears in journals such as Scientific Reports, Therapeutic Innovation & Regulatory Science, Frontiers in Immunology, Journal of Biopharmaceutical Statistics and BMC Pregnancy and Childbirth.
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.