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
-
- HIV/AIDS Research and Interventions 32
- SARS-CoV-2 and COVID-19 Research 6
-
- Adolescent Sexual and Reproductive Health 23
- Co-authors
- Till Bärnighausen (54 shared papers)Landon Myer (3 shared papers)S. V. Subramanian (6 shared papers)Catherine Orrell (4 shared papers)Linda‐Gail Bekker (5 shared papers)Robin Wood (6 shared papers)Mark Jacob Siedner (16 shared papers)Stephen D Lawn (2 shared papers)
- Journals
- BMJ Open (10 papers)Journal of the International AIDS Society (8 papers)BMC Public Health (8 papers)PLoS ONE (6 papers)Clinical Infectious Diseases (6 papers)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Guy Harling
133 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 1.4k
- Modeling and Simulation 187
- Health 267
- Virology 150
- General Health Professions 683
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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 203 | |
| 2 | 2020 | 136 | |
| 3 | 2007 | 133 | |
| 4 | 2007 | 127 | |
| 5 | 2017 | 119 | |
| 6 | 2013 | 104 | |
| 7 | 2020 | 100 | |
| 8 | 2013 | 89 | |
| 9 | 2014 | 86 | |
| 10 | 2017 | 82 | |
| 11 | 2020 | 78 | |
| 12 | 2020 | 75 | |
| 13 | 2018 | 61 | |
| 14 | 2020 | 53 | |
| 15 | 2019 | 52 | |
| 16 | 2010 | 50 | |
| 17 | 2010 | 48 | |
| 18 | 2017 | 47 | |
| 19 | 2019 | 46 | |
| 20 | 2020 | 45 |
About Guy Harling
Guy Harling is a scholar working on Infectious Diseases, General Health Professions, Health, Modeling and Simulation and Epidemiology, having authored 144 papers that have together received 3.5k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (32 papers), Adolescent Sexual and Reproductive Health (23 papers), Health disparities and outcomes (9 papers), COVID-19 epidemiological studies (8 papers), Global Maternal and Child Health (7 papers), HIV, Drug Use, Sexual Risk (7 papers), Sex work and related issues (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Modeling and Simulation (187 citations), Health (267 citations), Virology (150 citations) and General Health Professions (683 citations). Guy Harling has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Till Bärnighausen, Landon Myer, S. V. Subramanian, Catherine Orrell, Linda‐Gail Bekker, Robin Wood, Mark Jacob Siedner, Stephen D Lawn, Márcia C. Castro and Rodney I Ehrlich. Their work appears in journals such as BMJ Open, Journal of the International AIDS Society, BMC Public Health, PLoS ONE and Clinical Infectious 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.