Jonathan Kitonsa

417 citations
15 papers · 146 · h-index 6

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 6
    • Antifungal resistance and susceptibility 3
    • HIV/AIDS Research and Interventions 3
    • HIV, Drug Use, Sexual Risk 3
    • Fungal Infections and Studies 3
    • Pneumocystis jirovecii pneumonia detection and treatment 2

Jonathan Kitonsa

13 papers receiving 145 citations

Peers

Jonathan Kitonsa
Comparison fields: 5 of 39
  • Infectious Diseases 103
  • Modeling and Simulation 21
  • Health 36
  • Virology 16
  • Epidemiology 52
Replace Vladimir Berthaud with:
Vladimir Berthaud United States
M. Baldeyrou France
Phoebe Danza United States
Paul Thistle Canada
Adèle Schwartz Benzaken Brazil
Gift Kawalazira Malawi
Dung Thi Nguyen Vietnam
Joanne Batting South Africa
Emily H. Koumans United States
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Jonathan Kitonsa

Since Specialization
Citations

This map shows the geographic impact of Jonathan Kitonsa'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 Jonathan Kitonsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kitonsa more than expected).

Fields of papers citing papers by Jonathan Kitonsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Kitonsa. 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 Jonathan Kitonsa. The network helps show where Jonathan Kitonsa may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Kitonsa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Kitonsa Line = papers co-authored together Jonathan Kitonsa links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202047
2 202134
3 202119
4 201911
5 202011
6 20207
7 20223
8 20233
9 20223
10 20233
11 20212
12 20232
13 20231
14 20240
15 20250

About Jonathan Kitonsa

Jonathan Kitonsa is a scholar working on Infectious Diseases, Epidemiology, Health, Virology and Modeling and Simulation, having authored 15 papers that have together received 146 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Vaccine Coverage and Hesitancy (6 papers), Antifungal resistance and susceptibility (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Fungal Infections and Studies (3 papers), HIV Research and Treatment (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (103 citations), Modeling and Simulation (21 citations), Health (36 citations), Virology (16 citations) and Epidemiology (52 citations). Jonathan Kitonsa has collaborated with scholars based in Uganda, United Kingdom and Democratic Republic of the Congo. Frequent co-authors include Noah Kiwanuka, Julius Kiwanuka, Pontiano Kaleebu, Eugene Ruzagira, Freddie Kibengo, Joseph Mugisha, Onesmus Kamacooko, Robin J. Shattock, Benjamin F. Pierce and Zacchaeus Anywaine. Their work appears in journals such as PLoS ONE, Global Health Action, International Journal of Environmental Research and Public Health, PLoS neglected tropical diseases and Human Vaccines & Immunotherapeutics.

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.

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