Que Dang
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS Research and Interventions 12
- HIV/AIDS drug development and treatment 4
- Virology 12
- HIV Research and Treatment 12
- Co-authors
- Wei-Shau Hu (4 shared papers)Vinay K. Pathak (3 shared papers)Derya Unutmaz (2 shared papers)Frank Maldarelli (2 shared papers)Douglas Powell (2 shared papers)Jianbo Chen (2 shared papers)Vanessa M. Hirsch (7 shared papers)Charles R. Brown (6 shared papers)
- Journals
- Journal of Virology (7 papers)AIDS Research and Human Retroviruses (4 papers)American Journal of Reproductive Immunology (2 papers)PLoS Pathogens (1 paper)Journal of the International AIDS Society (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Que Dang
19 papers receiving 416 citations
Peers
Comparison fields: 5 of 47
- Virology 316
- Infectious Diseases 221
- Immunology 89
- Epidemiology 120
- Biological Psychiatry 8
Countries citing papers authored by Que Dang
This map shows the geographic impact of Que Dang'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 Que Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Que Dang more than expected).
Fields of papers citing papers by Que Dang
This network shows the impact of papers produced by Que Dang. 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 Que Dang. The network helps show where Que Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Que Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 84 | |
| 2 | 2005 | 59 | |
| 3 | 2007 | 51 | |
| 4 | 2018 | 34 | |
| 5 | 2009 | 34 | |
| 6 | 2001 | 34 | |
| 7 | 2006 | 23 | |
| 8 | 2013 | 23 | |
| 9 | 2014 | 17 | |
| 10 | 2017 | 16 | |
| 11 | 2012 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2016 | 6 | |
| 14 | 2008 | 6 | |
| 15 | 2008 | 3 | |
| 16 | 2020 | 3 | |
| 17 | Per act HIV transmission risk through anal intercourse: An updated systematic review and meta-analysis | 2018 | 2 |
| 18 | 2018 | 1 | |
| 19 | 2017 | 1 |
About Que Dang
Que Dang is a scholar working on Infectious Diseases, Virology, Epidemiology, Molecular Biology and General Health Professions, having authored 19 papers that have together received 419 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), HIV/AIDS Research and Interventions (12 papers), Cytomegalovirus and herpesvirus research (5 papers), Adolescent Sexual and Reproductive Health (4 papers), HIV/AIDS drug development and treatment (4 papers), Reproductive tract infections research (3 papers), Gut microbiota and health (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Virology (316 citations), Infectious Diseases (221 citations), Immunology (89 citations), Epidemiology (120 citations) and Biological Psychiatry (8 citations). Que Dang has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Wei-Shau Hu, Vinay K. Pathak, Derya Unutmaz, Frank Maldarelli, Douglas Powell, Jianbo Chen, Vanessa M. Hirsch, Charles R. Brown, Ilnour Ourmanov and Yoshiaki Nishimura. Their work appears in journals such as Journal of Virology, AIDS Research and Human Retroviruses, American Journal of Reproductive Immunology, PLoS Pathogens and Journal of the International AIDS Society.
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.