Uri Mbonye
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 15
- HIV Research and Treatment 15
- Immunology 13
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 5
- Co-authors
- Jonathan Karn (18 shared papers)William L. Smith (3 shared papers)M. Wada (2 shared papers)Cynthia J. DeLong (1 shared paper)In‐Seok Song (2 shared papers)Joseph Hokello (1 shared paper)Giridharan Gokulrangan (3 shared papers)Caroline Jill Rieke (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)PLoS Pathogens (3 papers)Trends in Immunology (1 paper)Nature Communications (1 paper)Annual Review of Virology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Uri Mbonye
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Virology 583
- Infectious Diseases 302
- Immunology 320
- Pharmacology 241
- Molecular Biology 556
Countries citing papers authored by Uri Mbonye
This map shows the geographic impact of Uri Mbonye'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 Uri Mbonye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uri Mbonye more than expected).
Fields of papers citing papers by Uri Mbonye
This network shows the impact of papers produced by Uri Mbonye. 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 Uri Mbonye. The network helps show where Uri Mbonye may publish in the future.
Co-authors
The 25 scholars most cited alongside Uri Mbonye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 248 | |
| 2 | 2014 | 179 | |
| 3 | 2017 | 137 | |
| 4 | 2011 | 103 | |
| 5 | 2008 | 90 | |
| 6 | 2006 | 87 | |
| 7 | 2011 | 84 | |
| 8 | 2013 | 79 | |
| 9 | 2018 | 68 | |
| 10 | 2018 | 51 | |
| 11 | 2018 | 46 | |
| 12 | 2009 | 42 | |
| 13 | 2024 | 23 | |
| 14 | 2015 | 20 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 1 |
About Uri Mbonye
Uri Mbonye is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Pharmacology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Immune Cell Function and Interaction (12 papers), HIV/AIDS drug development and treatment (6 papers), T-cell and B-cell Immunology (5 papers), Inflammatory mediators and NSAID effects (3 papers), Peptidase Inhibition and Analysis (3 papers), NF-κB Signaling Pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Virology (583 citations), Infectious Diseases (302 citations), Immunology (320 citations), Pharmacology (241 citations) and Molecular Biology (556 citations). Uri Mbonye has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jonathan Karn, William L. Smith, M. Wada, Cynthia J. DeLong, In‐Seok Song, Joseph Hokello, Giridharan Gokulrangan, Caroline Jill Rieke, David L. DeWitt and Mark R. Chance. Their work appears in journals such as Journal of Biological Chemistry, PLoS Pathogens, Trends in Immunology, Nature Communications and Annual Review of Virology.
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.