Gesine Meyer‐Rath
Impact in
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- Tuberculosis Research and Epidemiology
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS Research and Interventions 52
- HIV/AIDS drug development and treatment 9
- Tuberculosis Research and Epidemiology 7
- Epidemiology 40
- HIV, Drug Use, Sexual Risk 24
- Co-authors
- Sydney Rosen (13 shared papers)Lise Jamieson (28 shared papers)Lawrence Long (16 shared papers)Ian Sanne (8 shared papers)Leigh F. Johnson (17 shared papers)Mead Over (3 shared papers)Wendy Stevens (3 shared papers)Kathryn Schnippel (3 shared papers)
- Journals
- PLoS ONE (8 papers)AIDS (6 papers)BMJ Global Health (5 papers)BMC Public Health (5 papers)PLoS Medicine (4 papers)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Gesine Meyer‐Rath
79 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 1.0k
- Virology 183
- Epidemiology 664
- General Health Professions 296
- Modeling and Simulation 46
Countries citing papers authored by Gesine Meyer‐Rath
This map shows the geographic impact of Gesine Meyer‐Rath'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 Gesine Meyer‐Rath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gesine Meyer‐Rath more than expected).
Fields of papers citing papers by Gesine Meyer‐Rath
This network shows the impact of papers produced by Gesine Meyer‐Rath. 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 Gesine Meyer‐Rath. The network helps show where Gesine Meyer‐Rath may publish in the future.
Co-authors
The 25 scholars most cited alongside Gesine Meyer‐Rath, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 125 | |
| 2 | 2012 | 61 | |
| 3 | 2014 | 53 | |
| 4 | 2012 | 50 | |
| 5 | 2019 | 48 | |
| 6 | 2017 | 48 | |
| 7 | 2012 | 46 | |
| 8 | 2016 | 42 | |
| 9 | 2019 | 39 | |
| 10 | 2017 | 35 | |
| 11 | 2012 | 34 | |
| 12 | 2021 | 33 | |
| 13 | 2022 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2009 | 28 | |
| 16 | 2017 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2014 | 24 | |
| 19 | 2022 | 24 | |
| 20 | 2018 | 24 |
About Gesine Meyer‐Rath
Gesine Meyer‐Rath is a scholar working on Infectious Diseases, Epidemiology, Economics and Econometrics, Virology and General Health Professions, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (52 papers), HIV, Drug Use, Sexual Risk (24 papers), HIV/AIDS Impact and Responses (18 papers), HIV Research and Treatment (14 papers), Adolescent Sexual and Reproductive Health (11 papers), Global Maternal and Child Health (11 papers), HIV/AIDS drug development and treatment (9 papers) and Tuberculosis Research and Epidemiology (7 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Virology (183 citations), Epidemiology (664 citations), General Health Professions (296 citations) and Modeling and Simulation (46 citations). Gesine Meyer‐Rath has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Sydney Rosen, Lise Jamieson, Lawrence Long, Ian Sanne, Leigh F. Johnson, Mead Over, Wendy Stevens, Kathryn Schnippel, Yogan Pillay and Matthew P. Fox. Their work appears in journals such as PLoS ONE, AIDS, BMJ Global Health, BMC Public Health and PLoS 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.