Weiming Tang
Impact in
- Infectious Diseases top 0.5%
- HIV/AIDS Research and Interventions
- Virology top 2%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS Research and Interventions 163
- Epidemiology 94
- HIV, Drug Use, Sexual Risk 78
- Co-authors
- Joseph D. Tucker (208 shared papers)Yi Zhou (25 shared papers)Dan Wu (68 shared papers)Chongyi Wei (54 shared papers)Hongbo Jiang (6 shared papers)Bolin Cao (28 shared papers)Bin Yang (46 shared papers)Jason J. Ong (72 shared papers)
- Journals
- BMC Infectious Diseases (28 papers)PLoS ONE (21 papers)BMC Public Health (18 papers)AIDS and Behavior (16 papers)Sexually Transmitted Diseases (16 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiming Tang
364 papers receiving 5.6k citations
Weiming Tang's Hit Papers
Peers
Comparison fields: 5 of 170
- Infectious Diseases 2.4k
- Virology 301
- Epidemiology 1.3k
- Microbiology 248
- Hepatology 260
Countries citing papers authored by Weiming Tang
This map shows the geographic impact of Weiming Tang'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 Weiming Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Tang more than expected).
Fields of papers citing papers by Weiming Tang
This network shows the impact of papers produced by Weiming Tang. 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 Weiming Tang. The network helps show where Weiming Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiming Tang, 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 384 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 234 | |
| 2 | Structural and Functional Adaptive Artificial Bone: Materials, Fabrications, and Properties Hit paper breakdown → | 2023 | 192 |
| 3 | 2017 | 155 | |
| 4 | 2019 | 99 | |
| 5 | 2016 | 95 | |
| 6 | 2017 | 94 | |
| 7 | 2017 | 91 | |
| 8 | 2020 | 82 | |
| 9 | 2019 | 82 | |
| 10 | 2010 | 78 | |
| 11 | 2016 | 71 | |
| 12 | 2014 | 66 | |
| 13 | 2017 | 59 | |
| 14 | 2020 | 58 | |
| 15 | 2016 | 54 | |
| 16 | 2023 | 52 | |
| 17 | 2017 | 51 | |
| 18 | 2017 | 51 | |
| 19 | 2019 | 49 | |
| 20 | 2022 | 48 |
About Weiming Tang
Weiming Tang is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Sociology and Political Science and Virology, having authored 384 papers that have together received 5.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (163 papers), HIV, Drug Use, Sexual Risk (78 papers), Adolescent Sexual and Reproductive Health (28 papers), Sex work and related issues (26 papers), Syphilis Diagnosis and Treatment (23 papers), HIV Research and Treatment (22 papers), Reproductive tract infections research (17 papers) and LGBTQ Health, Identity, and Policy (17 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Virology (301 citations), Epidemiology (1.3k citations), Microbiology (248 citations) and Hepatology (260 citations). Weiming Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Joseph D. Tucker, Yi Zhou, Dan Wu, Chongyi Wei, Hongbo Jiang, Bolin Cao, Bin Yang, Jason J. Ong, Songyuan Tang and Tanmay Mahapatra. Their work appears in journals such as BMC Infectious Diseases, PLoS ONE, BMC Public Health, AIDS and Behavior 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.