Kimberly Marsh
Impact in
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS Research and Interventions 16
-
- HIV, Drug Use, Sexual Risk 6
- Respiratory viral infections research 2
- Co-authors
- Mary Mahy (8 shared papers)Gwenda Hughes (8 shared papers)Jeffrey W. Eaton (8 shared papers)Ian Wanyeki (3 shared papers)Keith Sabin (3 shared papers)Peter D. Ghys (2 shared papers)Robert W. Snow (1 shared paper)D. Le Sueur (1 shared paper)
- Journals
- AIDS (10 papers)Sexually Transmitted Infections (6 papers)Journal of the International AIDS Society (3 papers)Eurosurveillance (3 papers)The Lancet HIV (2 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Kimberly Marsh
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Infectious Diseases 548
- Virology 134
- Microbiology 95
- Modeling and Simulation 56
- Epidemiology 257
Countries citing papers authored by Kimberly Marsh
This map shows the geographic impact of Kimberly Marsh'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 Kimberly Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Marsh more than expected).
Fields of papers citing papers by Kimberly Marsh
This network shows the impact of papers produced by Kimberly Marsh. 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 Kimberly Marsh. The network helps show where Kimberly Marsh may publish in the future.
Co-authors
The 25 scholars most cited alongside Kimberly Marsh, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 278 | |
| 2 | 2019 | 125 | |
| 3 | 2021 | 88 | |
| 4 | 2019 | 75 | |
| 5 | 2012 | 74 | |
| 6 | 1996 | 73 | |
| 7 | 2005 | 63 | |
| 8 | 2014 | 45 | |
| 9 | 2019 | 36 | |
| 10 | 2007 | 36 | |
| 11 | 2014 | 36 | |
| 12 | 2016 | 26 | |
| 13 | 2005 | 22 | |
| 14 | 2013 | 21 | |
| 15 | 2021 | 21 | |
| 16 | 2012 | 20 | |
| 17 | 2013 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2020 | 18 |
About Kimberly Marsh
Kimberly Marsh is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Virology and Sociology and Political Science, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (16 papers), HIV, Drug Use, Sexual Risk (6 papers), HIV Research and Treatment (5 papers), Reproductive tract infections research (4 papers), Sex work and related issues (3 papers), Adolescent Sexual and Reproductive Health (3 papers), Reproductive Health and Contraception (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (548 citations), Virology (134 citations), Microbiology (95 citations), Modeling and Simulation (56 citations) and Epidemiology (257 citations). Kimberly Marsh has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Mary Mahy, Gwenda Hughes, Jeffrey W. Eaton, Ian Wanyeki, Keith Sabin, Peter D. Ghys, Robert W. Snow, D. Le Sueur, Séverin Guy Mahiane and Robert Glaubius. Their work appears in journals such as AIDS, Sexually Transmitted Infections, Journal of the International AIDS Society, Eurosurveillance and The Lancet HIV.
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.