Wuze Ren
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
Papers in
- Virology 8
- HIV Research and Treatment 8
-
- HIV/AIDS drug development and treatment 3
- SARS-CoV-2 and COVID-19 Research 3
- HIV/AIDS Research and Interventions 2
- COVID-19 Clinical Research Studies 1
- Co-authors
- Meng Yu (3 shared papers)Lin‐Fa Wang (3 shared papers)Shuyi Zhang (3 shared papers)Wendong Li (2 shared papers)Hume Field (1 shared paper)Huajun Zhang (1 shared paper)Bryan T. Eaton (1 shared paper)Craig Smith (1 shared paper)
- Journals
- Journal of Virology (5 papers)AIDS (2 papers)Journal of Translational Medicine (1 paper)Science (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wuze Ren
12 papers receiving 2.1k citations
Wuze Ren's Hit Papers
Peers
Comparison fields: 5 of 101
- Infectious Diseases 1.6k
- Animal Science and Zoology 586
- Virology 230
- Modeling and Simulation 210
- Public Health, Environmental and Occupational Health 280
Countries citing papers authored by Wuze Ren
This map shows the geographic impact of Wuze Ren'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 Wuze Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuze Ren more than expected).
Fields of papers citing papers by Wuze Ren
This network shows the impact of papers produced by Wuze Ren. 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 Wuze Ren. The network helps show where Wuze Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Wuze Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Bats Are Natural Reservoirs of SARS-Like Coronaviruses Hit paper breakdown → | 2005 | 1793 |
| 2 | 2007 | 112 | |
| 3 | 2006 | 79 | |
| 4 | 2011 | 24 | |
| 5 | 2009 | 20 | |
| 6 | 2013 | 19 | |
| 7 | 2012 | 17 | |
| 8 | 2011 | 17 | |
| 9 | 2015 | 12 | |
| 10 | 2013 | 10 | |
| 11 | 2010 | 10 | |
| 12 | 2019 | 7 |
About Wuze Ren
Wuze Ren is a scholar working on Virology, Infectious Diseases, Animal Science and Zoology, Immunology and Epidemiology, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (3 papers), Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (3 papers), HIV/AIDS Research and Interventions (2 papers), T-cell and B-cell Immunology (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (1.6k citations), Animal Science and Zoology (586 citations), Virology (230 citations), Modeling and Simulation (210 citations) and Public Health, Environmental and Occupational Health (280 citations). Wuze Ren has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Meng Yu, Lin‐Fa Wang, Shuyi Zhang, Wendong Li, Hume Field, Huajun Zhang, Bryan T. Eaton, Craig Smith, Jianhong Zhang and Hanzhong Wang. Their work appears in journals such as Journal of Virology, AIDS, Journal of Translational Medicine, Science and Cell Reports.
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.