Xiaoyou Chen
Impact in
- Microbiology top 1%
- Actinomycetales infections and treatment
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 12
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 4
- Epidemiology 15
- Mycobacterium research and diagnosis 11
- Co-authors
- Fengmin Huo (3 shared papers)Fanrong Kong (5 shared papers)Mengqiu Gao (3 shared papers)Naihui Chu (2 shared papers)Yu Pang (2 shared papers)Shibing Qin (1 shared paper)Jun An (1 shared paper)Hairong Huang (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)Infection and Drug Resistance (4 papers)BioMed Research International (2 papers)BMC Infectious Diseases (2 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoyou Chen
40 papers receiving 755 citations
Peers
Comparison fields: 5 of 71
- Microbiology 60
- Infectious Diseases 338
- Epidemiology 218
- Small Animals 49
- Surgery 191
Countries citing papers authored by Xiaoyou Chen
This map shows the geographic impact of Xiaoyou 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 Xiaoyou Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyou Chen more than expected).
Fields of papers citing papers by Xiaoyou Chen
This network shows the impact of papers produced by Xiaoyou 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 Xiaoyou Chen. The network helps show where Xiaoyou Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyou 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2008 | 69 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 54 | |
| 5 | 2010 | 39 | |
| 6 | 2003 | 38 | |
| 7 | 2011 | 38 | |
| 8 | 2009 | 25 | |
| 9 | 2014 | 23 | |
| 10 | 2017 | 22 | |
| 11 | 2022 | 19 | |
| 12 | 2018 | 17 | |
| 13 | 2021 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2019 | 9 |
About Xiaoyou Chen
Xiaoyou Chen is a scholar working on Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Small Animals, having authored 41 papers that have together received 783 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (11 papers), SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (4 papers), Pleural and Pulmonary Diseases (4 papers), COVID-19 Clinical Research Studies (4 papers), Diagnosis and treatment of tuberculosis (3 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Microbiology (60 citations), Infectious Diseases (338 citations), Epidemiology (218 citations), Small Animals (49 citations) and Surgery (191 citations). Xiaoyou Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fengmin Huo, Fanrong Kong, Mengqiu Gao, Naihui Chu, Yu Pang, Shibing Qin, Jun An, Hairong Huang, Shaofa Xu and Wei Shu. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Drug Resistance, BioMed Research International, BMC Infectious Diseases and Journal of Medical Virology.
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.