Daniel Lule Bugembe
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- HIV/AIDS drug development and treatment
- COVID-19 Clinical Research Studies
-
- HIV Research and Treatment
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- HIV/AIDS drug development and treatment 5
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- My V. T. Phan (5 shared papers)Pontiano Kaleebu (14 shared papers)Matthew L. Cotten (5 shared papers)Andrew Rambaut (1 shared paper)Hellen Nansumba (1 shared paper)Aine Niamh O’Toole (1 shared paper)Isaac Ssewanyana (1 shared paper)Patrick Semanda (1 shared paper)
- Journals
- Emerging infectious diseases (2 papers)Science (2 papers)AIDS Research and Human Retroviruses (2 papers)BMC Infectious Diseases (2 papers)Microbiology Spectrum (1 paper)
- Partner nations
- UgandaUnited KingdomUnited States
In The Last Decade
Daniel Lule Bugembe
17 papers receiving 454 citations
Peers
Comparison fields: 5 of 25
- Infectious Diseases 321
- Virology 11
- Modeling and Simulation 9
- Applied Microbiology and Biotechnology 4
- Public Health, Environmental and Occupational Health 14
Countries citing papers authored by Daniel Lule Bugembe
This map shows the geographic impact of Daniel Lule Bugembe'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 Daniel Lule Bugembe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lule Bugembe more than expected).
Fields of papers citing papers by Daniel Lule Bugembe
This network shows the impact of papers produced by Daniel Lule Bugembe. 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 Daniel Lule Bugembe. The network helps show where Daniel Lule Bugembe may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lule Bugembe, 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 | 2021 | 157 | |
| 2 | 2022 | 114 | |
| 3 | 2021 | 86 | |
| 4 | 2022 | 29 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2025 | 4 | |
| 10 | 2007 | 3 | |
| 11 | 2015 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 |
About Daniel Lule Bugembe
Daniel Lule Bugembe is a scholar working on Infectious Diseases, Virology, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 18 papers that have together received 463 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (3 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (321 citations), Virology (11 citations), Modeling and Simulation (9 citations), Applied Microbiology and Biotechnology (4 citations) and Public Health, Environmental and Occupational Health (14 citations). Daniel Lule Bugembe has collaborated with scholars based in Uganda, United Kingdom and United States. Frequent co-authors include My V. T. Phan, Pontiano Kaleebu, Matthew L. Cotten, Andrew Rambaut, Hellen Nansumba, Aine Niamh O’Toole, Isaac Ssewanyana, Patrick Semanda, Susan Ndidde Nabadda and Deogratius Ssemwanga. Their work appears in journals such as Emerging infectious diseases, Science, AIDS Research and Human Retroviruses, BMC Infectious Diseases and Microbiology Spectrum.
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.