Jing Gu
Impact in
- Aging top 5%
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS Research and Interventions 54
- Epidemiology 49
- HIV, Drug Use, Sexual Risk 41
- Substance Abuse Treatment and Outcomes 6
- Co-authors
- Robert Warren Williams (6 shared papers)Joseph T. F. Lau (63 shared papers)Lu Lu (5 shared papers)Yuantao Hao (55 shared papers)Chun Yan Hao (60 shared papers)L. Lü (1 shared paper)Jeremy L. Peirce (1 shared paper)Lee M. Silver (1 shared paper)
- Journals
- AIDS Care (13 papers)AIDS and Behavior (11 papers)BMC Infectious Diseases (9 papers)BMC Public Health (9 papers)International Journal of Environmental Research and Public Health (6 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jing Gu
194 papers receiving 5.7k citations
Jing Gu's Hit Papers
Peers
Comparison fields: 5 of 187
- Aging 85
- Infectious Diseases 839
- Genetics 1.1k
- Virology 134
- Clinical Psychology 514
Countries citing papers authored by Jing Gu
This map shows the geographic impact of Jing Gu'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 Jing Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Gu more than expected).
Fields of papers citing papers by Jing Gu
This network shows the impact of papers produced by Jing Gu. 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 Jing Gu. The network helps show where Jing Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Gu, 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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Collaborative Cross, a community resource for the genetic analysis of complex traits Hit paper breakdown → | 2004 | 889 |
| 2 | 2005 | 591 | |
| 3 | 2004 | 395 | |
| 4 | 2001 | 322 | |
| 5 | 2020 | 168 | |
| 6 | 2013 | 135 | |
| 7 | 2013 | 121 | |
| 8 | 2019 | 109 | |
| 9 | 2004 | 84 | |
| 10 | 1999 | 79 | |
| 11 | 2019 | 75 | |
| 12 | 2011 | 59 | |
| 13 | 2013 | 57 | |
| 14 | 2019 | 52 | |
| 15 | 2012 | 52 | |
| 16 | 2020 | 49 | |
| 17 | 2019 | 48 | |
| 18 | 2021 | 48 | |
| 19 | 2011 | 47 | |
| 20 | 2014 | 45 |
About Jing Gu
Jing Gu is a scholar working on Infectious Diseases, Epidemiology, Health, General Health Professions and Clinical Psychology, having authored 201 papers that have together received 5.8k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (54 papers), HIV, Drug Use, Sexual Risk (41 papers), Sex work and related issues (21 papers), Adolescent Sexual and Reproductive Health (13 papers), COVID-19 and Mental Health (9 papers), Intimate Partner and Family Violence (6 papers), Mental Health Treatment and Access (6 papers) and Substance Abuse Treatment and Outcomes (6 papers). The work is most often cited by research in Aging (85 citations), Infectious Diseases (839 citations), Genetics (1.1k citations), Virology (134 citations) and Clinical Psychology (514 citations). Jing Gu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Robert Warren Williams, Joseph T. F. Lau, Lu Lu, Yuantao Hao, Chun Yan Hao, L. Lü, Jeremy L. Peirce, Lee M. Silver, Jinghua Li and Elissa J. Chesler. Their work appears in journals such as AIDS Care, AIDS and Behavior, BMC Infectious Diseases, BMC Public Health and International Journal of Environmental Research and Public Health.
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.