Jun Tao
Impact in
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in ⓘ
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- HIV/AIDS Research and Interventions 23
- Epidemiology 23
- HIV, Drug Use, Sexual Risk 20
- Co-authors
- Sten H. Vermund (7 shared papers)Philip A. Chan (25 shared papers)Han‐Zhu Qian (6 shared papers)Tao Liu (1 shared paper)Yuanyuan Cai (1 shared paper)Zu‐Yao Yang (1 shared paper)Hualiang Lin (1 shared paper)Wenjun Ma (1 shared paper)
- Journals
- AIDS Patient Care and STDs (5 papers)AIDS and Behavior (4 papers)International Journal of STD & AIDS (3 papers)Open Forum Infectious Diseases (3 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jun Tao
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Infectious Diseases 484
- Health, Toxicology and Mutagenesis 238
- Virology 74
- Epidemiology 352
- General Health Professions 172
Countries citing papers authored by Jun Tao
This map shows the geographic impact of Jun Tao'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 Jun Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tao more than expected).
Fields of papers citing papers by Jun Tao
This network shows the impact of papers produced by Jun Tao. 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 Jun Tao. The network helps show where Jun Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tao, 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 | 2016 | 264 | |
| 2 | 2020 | 72 | |
| 3 | 2020 | 58 | |
| 4 | 2014 | 51 | |
| 5 | 2016 | 48 | |
| 6 | 2016 | 47 | |
| 7 | 2021 | 46 | |
| 8 | 2019 | 45 | |
| 9 | 2017 | 45 | |
| 10 | 2017 | 43 | |
| 11 | 2020 | 38 | |
| 12 | 2017 | 36 | |
| 13 | 2020 | 31 | |
| 14 | 2020 | 28 | |
| 15 | 2013 | 27 | |
| 16 | 2013 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2019 | 26 | |
| 19 | 2008 | 24 | |
| 20 | 2021 | 21 |
About Jun Tao
Jun Tao is a scholar working on Infectious Diseases, Epidemiology, Virology, General Health Professions and Sociology and Political Science, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (23 papers), HIV, Drug Use, Sexual Risk (20 papers), HIV Research and Treatment (7 papers), Sex work and related issues (6 papers), Adolescent Sexual and Reproductive Health (4 papers), Reproductive tract infections research (4 papers), CAR-T cell therapy research (3 papers) and LGBTQ Health, Identity, and Policy (3 papers). The work is most often cited by research in Infectious Diseases (484 citations), Health, Toxicology and Mutagenesis (238 citations), Virology (74 citations), Epidemiology (352 citations) and General Health Professions (172 citations). Jun Tao has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Sten H. Vermund, Philip A. Chan, Han‐Zhu Qian, Tao Liu, Yuanyuan Cai, Zu‐Yao Yang, Hualiang Lin, Wenjun Ma, Jianpeng Xiao and Bo Zhang. Their work appears in journals such as AIDS Patient Care and STDs, AIDS and Behavior, International Journal of STD & AIDS, Open Forum Infectious Diseases and JAIDS Journal of Acquired Immune Deficiency Syndromes.
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.