Ke Xu
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 44
- Influenza Virus Research Studies 37
- Respiratory viral infections research 11
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- SARS-CoV-2 and COVID-19 Research 18
- Viral gastroenteritis research and epidemiology 13
- Co-authors
- Ke Lan (5 shared papers)Yu Chen (6 shared papers)Yingle Liu (3 shared papers)Bing Sun (19 shared papers)Zhi Ning (1 shared paper)Yusen Duan (1 shared paper)Li Sun (1 shared paper)Nirmal Kumar Gali (1 shared paper)
In The Last Decade
Ke Xu
110 papers receiving 4.3k citations
Ke Xu's Hit Papers
Peers
Comparison fields: 5 of 156
- Modeling and Simulation 414
- Infectious Diseases 1.5k
- General Dentistry 125
- Animal Science and Zoology 358
- Epidemiology 1.0k
Countries citing papers authored by Ke Xu
This map shows the geographic impact of Ke Xu'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 Ke Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Xu more than expected).
Fields of papers citing papers by Ke Xu
This network shows the impact of papers produced by Ke Xu. 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 Ke Xu. The network helps show where Ke Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Xu, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals Hit paper breakdown → | 2020 | 1396 |
| 2 | RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak Hit paper breakdown → | 2020 | 399 |
| 3 | 2006 | 227 | |
| 4 | 2013 | 148 | |
| 5 | 2012 | 142 | |
| 6 | 2006 | 116 | |
| 7 | 2010 | 105 | |
| 8 | 2014 | 85 | |
| 9 | 2013 | 79 | |
| 10 | 2010 | 72 | |
| 11 | 2011 | 65 | |
| 12 | 1989 | 57 | |
| 13 | 2012 | 57 | |
| 14 | 2014 | 57 | |
| 15 | 2013 | 54 | |
| 16 | 2018 | 54 | |
| 17 | 2017 | 52 | |
| 18 | 2014 | 51 | |
| 19 | 1999 | 44 | |
| 20 | 2013 | 44 |
About Ke Xu
Ke Xu is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Immunology and Genetics, having authored 116 papers that have together received 4.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (37 papers), SARS-CoV-2 and COVID-19 Research (18 papers), Viral gastroenteritis research and epidemiology (13 papers), Respiratory viral infections research (11 papers), interferon and immune responses (9 papers), Animal Disease Management and Epidemiology (9 papers), Animal Virus Infections Studies (7 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Modeling and Simulation (414 citations), Infectious Diseases (1.5k citations), General Dentistry (125 citations), Animal Science and Zoology (358 citations) and Epidemiology (1.0k citations). Ke Xu has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Ke Lan, Yu Chen, Yingle Liu, Bing Sun, Zhi Ning, Yusen Duan, Li Sun, Nirmal Kumar Gali, Ming Guo and Xinjin Liu. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, PLoS Pathogens, PLoS ONE and 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.