Peng Xiao
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 32
- HIV Research and Treatment 32
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- HIV/AIDS drug development and treatment 8
- HIV/AIDS Research and Interventions 6
- Co-authors
- Marjorie Robert-Guroff (12 shared papers)David Venzon (10 shared papers)Thorsten Demberg (8 shared papers)L. Jean Patterson (6 shared papers)Rachmat Hidajat (3 shared papers)Egidio Brocca‐Cofano (6 shared papers)François Villinger (17 shared papers)Toshio Hattori (8 shared papers)
- Journals
- Journal of Virology (11 papers)Virology (4 papers)PLoS ONE (3 papers)Frontiers in Microbiology (3 papers)Science Advances (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Peng Xiao
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Virology 590
- Immunology 557
- Infectious Diseases 311
- Hepatology 93
- Epidemiology 260
Countries citing papers authored by Peng Xiao
This map shows the geographic impact of Peng Xiao'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 Peng Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Xiao more than expected).
Fields of papers citing papers by Peng Xiao
This network shows the impact of papers produced by Peng Xiao. 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 Peng Xiao. The network helps show where Peng Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Xiao, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 149 | |
| 2 | 2010 | 129 | |
| 3 | 2009 | 129 | |
| 4 | 2008 | 101 | |
| 5 | 2009 | 99 | |
| 6 | 2012 | 76 | |
| 7 | 2008 | 49 | |
| 8 | 2012 | 47 | |
| 9 | 2020 | 40 | |
| 10 | 2011 | 40 | |
| 11 | 2012 | 36 | |
| 12 | 2012 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2023 | 23 | |
| 15 | Method for efficient storage and transportation of sputum specimens for molecular testing of tuberculosis. | 2006 | 21 |
| 16 | 2014 | 21 | |
| 17 | 2014 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2012 | 17 |
About Peng Xiao
Peng Xiao is a scholar working on Virology, Infectious Diseases, Immunology, Epidemiology and Genetics, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (32 papers), Immune Cell Function and Interaction (15 papers), Virus-based gene therapy research (8 papers), HIV/AIDS drug development and treatment (8 papers), T-cell and B-cell Immunology (7 papers), HIV/AIDS Research and Interventions (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Virology (590 citations), Immunology (557 citations), Infectious Diseases (311 citations), Hepatology (93 citations) and Epidemiology (260 citations). Peng Xiao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Marjorie Robert-Guroff, David Venzon, Thorsten Demberg, L. Jean Patterson, Rachmat Hidajat, Egidio Brocca‐Cofano, François Villinger, Toshio Hattori, Vaniambadi S. Kalyanaraman and Jun Zhao. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Frontiers in Microbiology and Science Advances.
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.