Cuiling Xu
Impact in
- Virology top 2%
- HIV Research and Treatment
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in ⓘ
- Virology 21
- HIV Research and Treatment 21
-
- COVID-19 epidemiological studies 7
- Co-authors
- Benjamin J. Cowling (9 shared papers)Dkm Ip (4 shared papers)Cristian Apetrei (23 shared papers)Ivona Pandrea (23 shared papers)Nancy Leung (3 shared papers)Dongzhu Ma (14 shared papers)Yuelong Shu (12 shared papers)George S. Haret-Richter (11 shared papers)
- Journals
- Journal of Virology (8 papers)PLoS ONE (6 papers)PLoS Pathogens (4 papers)Frontiers in Immunology (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Cuiling Xu
50 papers receiving 975 citations
Peers
Comparison fields: 5 of 88
- Virology 326
- Modeling and Simulation 122
- Infectious Diseases 417
- Agronomy and Crop Science 175
- Epidemiology 560
Countries citing papers authored by Cuiling Xu
This map shows the geographic impact of Cuiling 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 Cuiling Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiling Xu more than expected).
Fields of papers citing papers by Cuiling Xu
This network shows the impact of papers produced by Cuiling 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 Cuiling Xu. The network helps show where Cuiling Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiling 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 109 | |
| 2 | 2013 | 76 | |
| 3 | 2014 | 74 | |
| 4 | 2012 | 68 | |
| 5 | 2014 | 51 | |
| 6 | 2005 | 48 | |
| 7 | 2013 | 36 | |
| 8 | 2016 | 33 | |
| 9 | 2015 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2013 | 29 | |
| 12 | 2014 | 28 | |
| 13 | 2015 | 27 | |
| 14 | 2016 | 22 | |
| 15 | 2016 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2015 | 18 | |
| 19 | 2014 | 18 | |
| 20 | 2005 | 17 |
About Cuiling Xu
Cuiling Xu is a scholar working on Virology, Modeling and Simulation, Infectious Diseases, Epidemiology and Agronomy and Crop Science, having authored 52 papers that have together received 995 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (22 papers), HIV Research and Treatment (21 papers), Immune Cell Function and Interaction (12 papers), Respiratory viral infections research (12 papers), HIV/AIDS Research and Interventions (11 papers), Animal Disease Management and Epidemiology (7 papers), COVID-19 epidemiological studies (7 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Virology (326 citations), Modeling and Simulation (122 citations), Infectious Diseases (417 citations), Agronomy and Crop Science (175 citations) and Epidemiology (560 citations). Cuiling Xu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Benjamin J. Cowling, Dkm Ip, Cristian Apetrei, Ivona Pandrea, Nancy Leung, Dongzhu Ma, Yuelong Shu, George S. Haret-Richter, Anita M. Trichel and Jan Kristoff. Their work appears in journals such as Journal of Virology, PLoS ONE, PLoS Pathogens, Frontiers in Immunology and Nature Communications.
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.