Yao-Qing Chen
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- SARS-CoV-2 and COVID-19 Research 14
- COVID-19 Clinical Research Studies 6
- Epidemiology 16
- Influenza Virus Research Studies 8
- Co-authors
- Huimin Yan (13 shared papers)Jingyi Yang (13 shared papers)Dihan Zhou (11 shared papers)Qiaoli Li (5 shared papers)Patrick C. Wilson (4 shared papers)Wei Shi (4 shared papers)Liping Wang (1 shared paper)Xin Yu (1 shared paper)
- Journals
- Journal of Virology (4 papers)PLoS ONE (3 papers)Frontiers in Immunology (3 papers)PLoS Pathogens (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yao-Qing Chen
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Infectious Diseases 508
- Microbiology 139
- Animal Science and Zoology 172
- Immunology 247
- Epidemiology 287
Countries citing papers authored by Yao-Qing Chen
This map shows the geographic impact of Yao-Qing 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 Yao-Qing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao-Qing Chen more than expected).
Fields of papers citing papers by Yao-Qing Chen
This network shows the impact of papers produced by Yao-Qing 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 Yao-Qing Chen. The network helps show where Yao-Qing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao-Qing 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 163 | |
| 2 | 2013 | 130 | |
| 3 | 2011 | 118 | |
| 4 | 2013 | 103 | |
| 5 | 2020 | 76 | |
| 6 | 2021 | 66 | |
| 7 | 2012 | 66 | |
| 8 | 2021 | 65 | |
| 9 | 2018 | 54 | |
| 10 | 2013 | 36 | |
| 11 | 2013 | 34 | |
| 12 | 2010 | 33 | |
| 13 | 2021 | 30 | |
| 14 | 2011 | 26 | |
| 15 | 2022 | 24 | |
| 16 | 2021 | 22 | |
| 17 | 2019 | 18 | |
| 18 | 2011 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2011 | 15 |
About Yao-Qing Chen
Yao-Qing Chen is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Genetics, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Influenza Virus Research Studies (8 papers), COVID-19 Clinical Research Studies (6 papers), Immune Response and Inflammation (5 papers), Immune Cell Function and Interaction (4 papers), HIV Research and Treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Infectious Diseases (508 citations), Microbiology (139 citations), Animal Science and Zoology (172 citations), Immunology (247 citations) and Epidemiology (287 citations). Yao-Qing Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huimin Yan, Jingyi Yang, Dihan Zhou, Qiaoli Li, Patrick C. Wilson, Wei Shi, Liping Wang, Xin Yu, Lizheng Guo and Longfei Shu. Their work appears in journals such as Journal of Virology, PLoS ONE, Frontiers in Immunology, PLoS Pathogens and Briefings in Bioinformatics.
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.