David Huh
Impact in
- Family Practice top 5%
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
Papers in
- Epidemiology 20
- Substance Abuse Treatment and Outcomes 11
- HIV, Drug Use, Sexual Risk 8
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- HIV/AIDS Research and Interventions 15
- Co-authors
- Jane M. Simoni (16 shared papers)Michele P. Andrasik (8 shared papers)Cynthia Pearson (8 shared papers)Eun‐Young Mun (16 shared papers)David C. Atkins (7 shared papers)Emily Wade (1 shared paper)Eric Stice (1 shared paper)Mary E. Larimer (10 shared papers)
- Journals
- AIDS and Behavior (10 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (3 papers)Prevention Science (3 papers)Psychology of Addictive Behaviors (2 papers)Multivariate Behavioral Research (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
David Huh
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Family Practice 56
- Infectious Diseases 509
- Applied Psychology 115
- Clinical Psychology 328
- Epidemiology 445
Countries citing papers authored by David Huh
This map shows the geographic impact of David Huh'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 David Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Huh more than expected).
Fields of papers citing papers by David Huh
This network shows the impact of papers produced by David Huh. 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 David Huh. The network helps show where David Huh may publish in the future.
Co-authors
The 25 scholars most cited alongside David Huh, 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 | 2009 | 147 | |
| 2 | 2012 | 142 | |
| 3 | 2006 | 135 | |
| 4 | 2015 | 112 | |
| 5 | 2017 | 83 | |
| 6 | 2013 | 75 | |
| 7 | 2011 | 53 | |
| 8 | 2019 | 51 | |
| 9 | 2014 | 50 | |
| 10 | 2010 | 49 | |
| 11 | 2014 | 47 | |
| 12 | 2018 | 43 | |
| 13 | 2014 | 42 | |
| 14 | 2019 | 40 | |
| 15 | 2010 | 32 | |
| 16 | 2018 | 31 | |
| 17 | 2015 | 26 | |
| 18 | 2018 | 23 | |
| 19 | 2011 | 22 | |
| 20 | 2011 | 21 |
About David Huh
David Huh is a scholar working on Epidemiology, Infectious Diseases, General Health Professions, Clinical Psychology and Applied Psychology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (15 papers), Substance Abuse Treatment and Outcomes (11 papers), Behavioral Health and Interventions (8 papers), HIV, Drug Use, Sexual Risk (8 papers), Health Policy Implementation Science (6 papers), Adolescent Sexual and Reproductive Health (6 papers), Suicide and Self-Harm Studies (6 papers) and Advanced Causal Inference Techniques (4 papers). The work is most often cited by research in Family Practice (56 citations), Infectious Diseases (509 citations), Applied Psychology (115 citations), Clinical Psychology (328 citations) and Epidemiology (445 citations). David Huh has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Jane M. Simoni, Michele P. Andrasik, Cynthia Pearson, Eun‐Young Mun, David C. Atkins, Emily Wade, Eric Stice, Mary E. Larimer, Peter J. Dunbar and Anne E. Ray. Their work appears in journals such as AIDS and Behavior, JAIDS Journal of Acquired Immune Deficiency Syndromes, Prevention Science, Psychology of Addictive Behaviors and Multivariate Behavioral Research.
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.