Ruian Ke
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 15
- COVID-19 Clinical Research Studies 9
- HIV/AIDS Research and Interventions 4
-
- COVID-19 epidemiological studies 16
- Co-authors
- Ethan Romero-Severson (10 shared papers)Nicolas Hengartner (10 shared papers)Steven Sanche (4 shared papers)Yen Ting Lin (2 shared papers)Chonggang Xu (1 shared paper)Alan S. Perelson (21 shared papers)Ruy M. Ribeiro (9 shared papers)Christopher B. Brooke (5 shared papers)
- Journals
- PLoS Pathogens (8 papers)Virus Evolution (5 papers)PLoS Computational Biology (5 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ruian Ke
52 papers receiving 2.3k citations
Ruian Ke's Hit Papers
Peers
Comparison fields: 5 of 144
- Modeling and Simulation 739
- Infectious Diseases 1.0k
- Virology 245
- Health 168
- General Dentistry 17
Countries citing papers authored by Ruian Ke
This map shows the geographic impact of Ruian Ke'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 Ruian Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruian Ke more than expected).
Fields of papers citing papers by Ruian Ke
This network shows the impact of papers produced by Ruian Ke. 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 Ruian Ke. The network helps show where Ruian Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruian Ke, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 Hit paper breakdown → | 2020 | 1000 |
| 2 | 2020 | 154 | |
| 3 | 2017 | 135 | |
| 4 | 2021 | 110 | |
| 5 | 2021 | 91 | |
| 6 | 2021 | 86 | |
| 7 | 2021 | 62 | |
| 8 | 2020 | 53 | |
| 9 | 2014 | 50 | |
| 10 | 2023 | 49 | |
| 11 | 2018 | 46 | |
| 12 | 2015 | 41 | |
| 13 | 2013 | 37 | |
| 14 | 2021 | 31 | |
| 15 | 2019 | 27 | |
| 16 | 2021 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2022 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2021 | 22 |
About Ruian Ke
Ruian Ke is a scholar working on Infectious Diseases, Modeling and Simulation, Virology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), SARS-CoV-2 and COVID-19 Research (15 papers), HIV Research and Treatment (12 papers), COVID-19 Clinical Research Studies (9 papers), Influenza Virus Research Studies (7 papers), Evolution and Genetic Dynamics (5 papers), Hepatitis C virus research (5 papers) and HIV/AIDS Research and Interventions (4 papers). The work is most often cited by research in Modeling and Simulation (739 citations), Infectious Diseases (1.0k citations), Virology (245 citations), Health (168 citations) and General Dentistry (17 citations). Ruian Ke has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ethan Romero-Severson, Nicolas Hengartner, Steven Sanche, Yen Ting Lin, Chonggang Xu, Alan S. Perelson, Ruy M. Ribeiro, Christopher B. Brooke, Carolin Zitzmann and David D. Ho. Their work appears in journals such as PLoS Pathogens, Virus Evolution, PLoS Computational Biology, Proceedings of the National Academy of Sciences and Journal of Theoretical Biology.
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.