Peter Mugyenyi
- Infectious Diseases top 0.2%
- Virology top 0.2%
- Epidemiology top 1%
- Immunology top 5%
- General Health Professions top 2%
- Co-authors
- Cissy KityoRoy D. MugerwaDavid R. BangsbergJayne Byakika-TusiimeJerrold J. EllnerJessica H. OyugiHuyen CaoAlphonse Okwera
- Topics
- HIV/AIDS Research and Interventions (87 papers)HIV Research and Treatment (72 papers)HIV/AIDS drug development and treatment (57 papers)
- Partner nations
- UgandaUnited StatesUnited Kingdom
In The Last Decade
Peter Mugyenyi
136 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 139
- Infectious Diseases 4.1k
- Virology 2.2k
- Epidemiology 1.9k
- Immunology 679
- General Health Professions 676
Countries citing papers authored by Peter Mugyenyi
This map shows the geographic impact of Peter Mugyenyi'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 Peter Mugyenyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Mugyenyi more than expected).
Fields of papers citing papers by Peter Mugyenyi
This network shows the impact of papers produced by Peter Mugyenyi. 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 Peter Mugyenyi. The network helps show where Peter Mugyenyi may publish in the future.
Co-authorship network of co-authors of Peter Mugyenyi
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Mugyenyi. A scholar is included among the top collaborators of Peter Mugyenyi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Mugyenyi. Peter Mugyenyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 31 | |
| 3 | 14 | |
| 4 | Dynamic logistic regression model and population attributable fraction to investigate the association between adherence, missed visits and mortality | 13 |
| 5 | 31 | |
| 6 | 7 | |
| 7 | 42 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 17 | |
| 12 | 97 | |
| 13 | 1 | |
| 14 | 34 | |
| 15 | 27 | |
| 16 | 38 | |
| 17 | 82 | |
| 18 | 50 | |
| 19 | 23 | |
| 20 | Clinical course of human immunodeficiency virus type 1 associated pulmonary tuberculosis during short-course antituberculosis therapy. | 5 |
About Peter Mugyenyi
Peter Mugyenyi is a scholar working on Virology, Infectious Diseases and Emergency Medicine, having authored 139 papers that have together received 5.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (87 papers), HIV Research and Treatment (72 papers) and HIV/AIDS drug development and treatment (57 papers). The work is most often cited by research in Virology (2.2k citations), Infectious Diseases (4.1k citations) and Epidemiology (1.9k citations). Peter Mugyenyi has collaborated with scholars based in Uganda, United States and United Kingdom. Frequent co-authors include Cissy Kityo, Roy D. Mugerwa, David R. Bangsberg, Jayne Byakika-Tusiime, Jerrold J. Ellner, Jessica H. Oyugi, Huyen Cao, Alphonse Okwera, John L. Johnson and Banson Barugahare. Their work appears in journals such as New England Journal of Medicine, The Lancet and The Journal of Immunology.
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.