John Kubale
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 11
- Respiratory viral infections research 10
- Influenza Virus Research Studies 6
- Pneumonia and Respiratory Infections 5
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- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- Co-authors
- Mark L. Wilson (2 shared papers)Grace A. Noppert (3 shared papers)Aubree Gordon (12 shared papers)Roger López (11 shared papers)Nery Sánchez (11 shared papers)Sergio Ojeda (11 shared papers)Ángel Balmaseda (10 shared papers)Andrea G. Buchwald (1 shared paper)
- Journals
- Clinical Infectious Diseases (3 papers)Vaccines (2 papers)The Journal of Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)JAMA Network Open (1 paper)
- Partner nations
- United StatesNicaraguaRwanda
In The Last Decade
John Kubale
17 papers receiving 152 citations
Peers
Comparison fields: 5 of 45
- Modeling and Simulation 26
- Infectious Diseases 52
- Parasitology 15
- Health 19
- Epidemiology 59
Countries citing papers authored by John Kubale
This map shows the geographic impact of John Kubale'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 John Kubale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kubale more than expected).
Fields of papers citing papers by John Kubale
This network shows the impact of papers produced by John Kubale. 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 John Kubale. The network helps show where John Kubale may publish in the future.
Co-authors
The 25 scholars most cited alongside John Kubale, 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 | 2018 | 42 | |
| 2 | 2021 | 24 | |
| 3 | 2019 | 15 | |
| 4 | 2016 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2020 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 1 |
About John Kubale
John Kubale is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Health and General Health Professions, having authored 18 papers that have together received 156 indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Pneumonia and Respiratory Infections (5 papers), COVID-19 epidemiological studies (5 papers), COVID-19 Clinical Research Studies (3 papers), Food Security and Health in Diverse Populations (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Modeling and Simulation (26 citations), Infectious Diseases (52 citations), Parasitology (15 citations), Health (19 citations) and Epidemiology (59 citations). John Kubale has collaborated with scholars based in United States, Nicaragua and Rwanda. Frequent co-authors include Mark L. Wilson, Grace A. Noppert, Aubree Gordon, Roger López, Nery Sánchez, Sergio Ojeda, Ángel Balmaseda, Andrea G. Buchwald, Karl B. Seydel and Miriam K. Laufer. Their work appears in journals such as Clinical Infectious Diseases, Vaccines, The Journal of Infectious Diseases, Open Forum Infectious Diseases and JAMA Network Open.
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.