Phenyo Lekone
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research
- HIV/AIDS Research and Interventions
- Tuberculosis Research and Epidemiology
Papers in
-
- HIV/AIDS Research and Interventions 4
- Tuberculosis Research and Epidemiology 2
-
- Influenza Virus Research Studies 1
- Mycobacterium research and diagnosis 1
- HIV, Drug Use, Sexual Risk 1
- Co-authors
- Bärbel Finkenstädt (1 shared paper)Andrew F. Auld (3 shared papers)Tefera Agizew (3 shared papers)Violet Chihota (3 shared papers)Sherri Pals (3 shared papers)Andrea K. Finlay (1 shared paper)Roslyn N. Boyd (1 shared paper)Andrew C. Voetsch (2 shared papers)
- Journals
- Biometrics (1 paper)The International Journal of Tuberculosis and Lung Disease (1 paper)Biometrical Journal (1 paper)PLoS ONE (1 paper)AIDS (1 paper)
- Partner nations
- BotswanaUnited StatesSouth Africa
In The Last Decade
Phenyo Lekone
10 papers receiving 320 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 210
- Infectious Diseases 168
- Emergency Medical Services 20
- Public Health, Environmental and Occupational Health 69
- Virology 9
Countries citing papers authored by Phenyo Lekone
This map shows the geographic impact of Phenyo Lekone'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 Phenyo Lekone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phenyo Lekone more than expected).
Fields of papers citing papers by Phenyo Lekone
This network shows the impact of papers produced by Phenyo Lekone. 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 Phenyo Lekone. The network helps show where Phenyo Lekone may publish in the future.
Co-authors
The 25 scholars most cited alongside Phenyo Lekone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 271 | |
| 2 | Follow-up of infants diagnosed with HIV - Early Infant Diagnosis Program, Francistown, Botswana, 2005-2012. | 2014 | 24 |
| 3 | 2019 | 17 | |
| 4 | 2019 | 6 | |
| 5 | 2008 | 4 | |
| 6 | 2016 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2016 | 1 |
About Phenyo Lekone
Phenyo Lekone is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, General Health Professions and Virology, having authored 10 papers that have together received 333 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), Tuberculosis Research and Epidemiology (2 papers), COVID-19 epidemiological studies (2 papers), Agricultural risk and resilience (1 paper), HIV Research and Treatment (1 paper), Influenza Virus Research Studies (1 paper), Mycobacterium research and diagnosis (1 paper) and HIV, Drug Use, Sexual Risk (1 paper). The work is most often cited by research in Modeling and Simulation (210 citations), Infectious Diseases (168 citations), Emergency Medical Services (20 citations), Public Health, Environmental and Occupational Health (69 citations) and Virology (9 citations). Phenyo Lekone has collaborated with scholars based in Botswana, United States and South Africa. Frequent co-authors include Bärbel Finkenstädt, Andrew F. Auld, Tefera Agizew, Violet Chihota, Sherri Pals, Andrea K. Finlay, Roslyn N. Boyd, Andrew C. Voetsch, Helen Dale and Lydia Lu. Their work appears in journals such as Biometrics, The International Journal of Tuberculosis and Lung Disease, Biometrical Journal, PLoS ONE and AIDS.
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.