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 17
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 4
- Epidemiology 19
- Mycobacterium research and diagnosis 12
- Co-authors
- Fengmin Huo (3 shared papers)Xinting Yang (10 shared papers)Fanrong Kong (5 shared papers)Mengqiu Gao (3 shared papers)Yu Pang (2 shared papers)Naihui Chu (2 shared papers)Hairong Huang (1 shared paper)Shaofa Xu (1 shared paper)
- Journals
- Journal of Clinical Microbiology (5 papers)Infection and Drug Resistance (4 papers)BMC Infectious Diseases (2 papers)Microbiology Spectrum (2 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoyou Chen
40 papers receiving 744 citations
Peers
Comparison fields: 5 of 79
- Microbiology 61
- Infectious Diseases 443
- Epidemiology 321
- Small Animals 62
- Surgery 293
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 188 | |
| 2 | 2008 | 66 | |
| 3 | 2019 | 57 | |
| 4 | 2019 | 50 | |
| 5 | 2003 | 36 | |
| 6 | 2011 | 36 | |
| 7 | 2010 | 34 | |
| 8 | 2017 | 33 | |
| 9 | 2009 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2014 | 19 | |
| 12 | 2022 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2019 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Xiaoyou Chen
Xiaoyou Chen is a scholar working on Infectious Diseases, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Small Animals, having authored 43 papers that have together received 767 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (12 papers), Diagnosis and treatment of tuberculosis (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Pleural and Pulmonary Diseases (5 papers), Infectious Diseases and Tuberculosis (5 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Microbiology (61 citations), Infectious Diseases (443 citations), Epidemiology (321 citations), Small Animals (62 citations) and Surgery (293 citations). Xiaoyou Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fengmin Huo, Xinting Yang, Fanrong Kong, Mengqiu Gao, Yu Pang, Naihui Chu, Hairong Huang, Shaofa Xu, Wei Shu and Shibing Qin. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Drug Resistance, BMC Infectious Diseases, Microbiology Spectrum 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.