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
-
- HIV/AIDS Research and Interventions 23
- Antimicrobial Resistance in Staphylococcus 3
- Epidemiology 14
- HIV, Drug Use, Sexual Risk 12
- Co-authors
- Philip A. Chan (25 shared papers)Sten H. Vermund (7 shared papers)Han‐Zhu Qian (6 shared papers)Jianpeng Xiao (1 shared paper)Zu‐Yao Yang (1 shared paper)Baixiang Feng (1 shared paper)Yuanyuan Cai (1 shared paper)Wenjun Ma (1 shared paper)
- Journals
- AIDS Patient Care and STDs (5 papers)AIDS and Behavior (4 papers)Open Forum Infectious Diseases (3 papers)International Journal of STD & AIDS (3 papers)Sexually Transmitted Diseases (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jun Tao
51 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 117
- Infectious Diseases 429
- Health, Toxicology and Mutagenesis 227
- Virology 34
- Epidemiology 189
- Modeling and Simulation 25
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 277 | |
| 2 | 2020 | 73 | |
| 3 | 2020 | 61 | |
| 4 | 2014 | 53 | |
| 5 | 2016 | 50 | |
| 6 | 2016 | 49 | |
| 7 | 2017 | 47 | |
| 8 | 2019 | 46 | |
| 9 | 2021 | 46 | |
| 10 | 2017 | 45 | |
| 11 | 2020 | 40 | |
| 12 | 2017 | 37 | |
| 13 | 2020 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2013 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2013 | 28 | |
| 18 | 2019 | 26 | |
| 19 | 2008 | 24 | |
| 20 | 2020 | 22 |
About Jun Tao
Jun Tao is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Oncology and Biomedical Engineering, having authored 54 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 (12 papers), Adolescent Sexual and Reproductive Health (4 papers), Sex work and related issues (4 papers), HIV Research and Treatment (4 papers), Reproductive tract infections research (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Infectious Diseases (429 citations), Health, Toxicology and Mutagenesis (227 citations), Virology (34 citations), Epidemiology (189 citations) and Modeling and Simulation (25 citations). Jun Tao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Philip A. Chan, Sten H. Vermund, Han‐Zhu Qian, Jianpeng Xiao, Zu‐Yao Yang, Baixiang Feng, Yuanyuan Cai, Wenjun Ma, Hualiang Lin and Weilin Zeng. Their work appears in journals such as AIDS Patient Care and STDs, AIDS and Behavior, Open Forum Infectious Diseases, International Journal of STD & AIDS and Sexually Transmitted Diseases.
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.