Xiaoyun Wen
Impact in
- Virology top 2%
- HIV Research and Treatment
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
- Virology 10
- HIV Research and Treatment 10
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- HIV/AIDS drug development and treatment 6
- Co-authors
- Carlos M. C. de Noronha (4 shared papers)Paul Spearman (7 shared papers)Thomas Friedrich (1 shared paper)Karen Duus (1 shared paper)Lingmei Ding (6 shared papers)Hin Chu (5 shared papers)Mingli Qi (5 shared papers)Xuemin Chen (5 shared papers)
- Journals
- PLoS ONE (3 papers)Virology (2 papers)Journal of Virology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Xiaoyun Wen
20 papers receiving 807 citations
Peers
Comparison fields: 5 of 83
- Virology 371
- Parasitology 118
- Infectious Diseases 221
- Immunology 225
- Epidemiology 144
Countries citing papers authored by Xiaoyun Wen
This map shows the geographic impact of Xiaoyun Wen'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 Xiaoyun Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyun Wen more than expected).
Fields of papers citing papers by Xiaoyun Wen
This network shows the impact of papers produced by Xiaoyun Wen. 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 Xiaoyun Wen. The network helps show where Xiaoyun Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyun Wen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 132 | |
| 2 | 2013 | 84 | |
| 3 | 2011 | 69 | |
| 4 | 2012 | 68 | |
| 5 | 2011 | 61 | |
| 6 | 2009 | 55 | |
| 7 | 2013 | 50 | |
| 8 | 2012 | 41 | |
| 9 | 2014 | 40 | |
| 10 | 2012 | 37 | |
| 11 | 2015 | 37 | |
| 12 | 2014 | 37 | |
| 13 | 2010 | 31 | |
| 14 | 2010 | 23 | |
| 15 | 2013 | 16 | |
| 16 | 2010 | 11 | |
| 17 | 2014 | 9 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 3 |
About Xiaoyun Wen
Xiaoyun Wen is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Epidemiology, having authored 21 papers that have together received 814 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (6 papers), Parasites and Host Interactions (4 papers), Mosquito-borne diseases and control (3 papers), Parasite Biology and Host Interactions (2 papers), Immune Cell Function and Interaction (2 papers), Virology and Viral Diseases (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Virology (371 citations), Parasitology (118 citations), Infectious Diseases (221 citations), Immunology (225 citations) and Epidemiology (144 citations). Xiaoyun Wen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Carlos M. C. de Noronha, Paul Spearman, Thomas Friedrich, Karen Duus, Lingmei Ding, Hin Chu, Mingli Qi, Xuemin Chen, Chuan Su and Ying Chi. Their work appears in journals such as PLoS ONE, Virology, Journal of Virology, Proceedings of the National Academy of Sciences and Cell Host & Microbe.
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.