Guy Harling
Impact in
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- Tuberculosis Research and Epidemiology
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
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- HIV/AIDS Research and Interventions 31
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- Adolescent Sexual and Reproductive Health 21
- Co-authors
- Till Bärnighausen (56 shared papers)Landon Myer (3 shared papers)S. V. Subramanian (4 shared papers)Linda‐Gail Bekker (5 shared papers)Catherine Orrell (4 shared papers)Robin Wood (6 shared papers)Mark J. Siedner (17 shared papers)Stephen D Lawn (2 shared papers)
- Journals
- BMJ Open (10 papers)Journal of the International AIDS Society (7 papers)BMC Public Health (7 papers)PLoS ONE (6 papers)Social Science & Medicine (5 papers)
- Partner nations
- United KingdomSouth AfricaUnited States
In The Last Decade
Guy Harling
122 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 1.2k
- Modeling and Simulation 166
- Health 245
- General Health Professions 630
- Virology 119
Countries citing papers authored by Guy Harling
This map shows the geographic impact of Guy Harling'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 Guy Harling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Harling more than expected).
Fields of papers citing papers by Guy Harling
This network shows the impact of papers produced by Guy Harling. 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 Guy Harling. The network helps show where Guy Harling may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Harling, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 196 | |
| 2 | 2007 | 132 | |
| 3 | 2020 | 124 | |
| 4 | 2007 | 119 | |
| 5 | 2017 | 113 | |
| 6 | 2013 | 100 | |
| 7 | 2020 | 99 | |
| 8 | 2013 | 84 | |
| 9 | 2014 | 83 | |
| 10 | 2020 | 78 | |
| 11 | 2017 | 77 | |
| 12 | 2020 | 59 | |
| 13 | 2018 | 58 | |
| 14 | 2020 | 49 | |
| 15 | 2010 | 48 | |
| 16 | 2010 | 46 | |
| 17 | 2019 | 45 | |
| 18 | 2017 | 44 | |
| 19 | 2019 | 43 | |
| 20 | 2007 | 42 |
About Guy Harling
Guy Harling is a scholar working on Infectious Diseases, General Health Professions, Sociology and Political Science, Health and Epidemiology, having authored 134 papers that have together received 3.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (31 papers), Adolescent Sexual and Reproductive Health (21 papers), Health disparities and outcomes (9 papers), Global Maternal and Child Health (8 papers), Sex work and related issues (7 papers), HIV, Drug Use, Sexual Risk (6 papers), COVID-19 epidemiological studies (5 papers) and HIV/AIDS Impact and Responses (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Modeling and Simulation (166 citations), Health (245 citations), General Health Professions (630 citations) and Virology (119 citations). Guy Harling has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Till Bärnighausen, Landon Myer, S. V. Subramanian, Linda‐Gail Bekker, Catherine Orrell, Robin Wood, Mark J. Siedner, Stephen D Lawn, Márcia C. Castro and Rodney Ehrlich. Their work appears in journals such as BMJ Open, Journal of the International AIDS Society, BMC Public Health, PLoS ONE and Social Science & Medicine.
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.