Daniel Lule Bugembe
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- HIV/AIDS drug development and treatment 5
- COVID-19 Clinical Research Studies 3
- Viral Infections and Outbreaks Research 2
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- My V. T. Phan (4 shared papers)Matthew L. Cotten (4 shared papers)Pontiano Kaleebu (10 shared papers)Hellen Nansumba (1 shared paper)Andrew Rambaut (1 shared paper)Susan Ndidde Nabadda (1 shared paper)Aine Niamh O’Toole (1 shared paper)Patrick Semanda (1 shared paper)
- Journals
- Science (2 papers)Emerging infectious diseases (2 papers)AIDS Research and Human Retroviruses (2 papers)Microbial Genomics (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- UgandaUnited KingdomUnited States
In The Last Decade
Daniel Lule Bugembe
13 papers receiving 401 citations
Peers
Comparison fields: 5 of 49
- Infectious Diseases 298
- Modeling and Simulation 74
- Animal Science and Zoology 40
- Health 22
- Virology 12
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 | 150 | |
| 2 | 2022 | 114 | |
| 3 | 2021 | 68 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 8 | |
| 7 | 2025 | 4 | |
| 8 | 2015 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 |
About Daniel Lule Bugembe
Daniel Lule Bugembe is a scholar working on Infectious Diseases, Virology, Animal Science and Zoology, Modeling and Simulation and Molecular Biology, having authored 14 papers that have together received 406 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 (4 papers), Animal Virus Infections Studies (3 papers), vaccines and immunoinformatics approaches (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 epidemiological studies (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Infectious Diseases (298 citations), Modeling and Simulation (74 citations), Animal Science and Zoology (40 citations), Health (22 citations) and Virology (12 citations). Daniel Lule Bugembe has collaborated with scholars based in Uganda, United Kingdom and United States. Frequent co-authors include My V. T. Phan, Matthew L. Cotten, Pontiano Kaleebu, Hellen Nansumba, Andrew Rambaut, Susan Ndidde Nabadda, Aine Niamh O’Toole, Patrick Semanda, Isaac Ssewanyana and Javier A. Jaimes. Their work appears in journals such as Science, Emerging infectious diseases, AIDS Research and Human Retroviruses, Microbial Genomics and BMC Infectious Diseases.
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.