P. Kaleebu
- Co-authors
- James HakimC. KityoFred LyagobaCharles F. GilksVal J. RobertsonDeenan PillayDavid DunnPaula Munderi
- Topics
- HIV Research and Treatment (4 papers)Hepatitis C virus research (3 papers)HIV/AIDS drug development and treatment (3 papers)
- Journals
- AIDS Research and Human Retroviruses
In The Last Decade
P. Kaleebu
7 papers receiving 23 citations
Peers
Comparison fields: 5 of 6
- Infectious Diseases 22
- Virology 22
- Epidemiology 3
- Emergency Medicine 1
- Immunology 1
Countries citing papers authored by P. Kaleebu
This map shows the geographic impact of P. Kaleebu'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 P. Kaleebu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Kaleebu more than expected).
Fields of papers citing papers by P. Kaleebu
This network shows the impact of papers produced by P. Kaleebu. 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 P. Kaleebu. The network helps show where P. Kaleebu may publish in the future.
Co-authorship network of co-authors of P. Kaleebu
This figure shows the co-authorship network connecting the top 25 collaborators of P. Kaleebu. A scholar is included among the top collaborators of P. Kaleebu 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 P. Kaleebu. P. Kaleebu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Prevalence and in vitro characteristics of reverse transcriptase (RT) N348I mutation in non-B subtypes, in the absence of viral load monitoring, in the DART Study (NORA substudy). | 2 |
| 2 | Interferon-gamma Responses to HIV-1 Clade A and D Peptides in Ugandan Serodiscordant Couples - the CHAVI 002 Protocol | 1 |
| 3 | Differences in the dynamics of viral rebound and evolution of resistance between CBV/NVP and CBV/ABC (NORA sub study of DART trial) uncovered in the absence of viral load monitoring in real time. | 1 |
| 4 | Discordance between virological/immunological and clinical outcomes at 48 weeks, in a randomised comparison of ZDV/3TC/NVP and ZDV/3TC/ABC in patients with low CD4 counts in Africa. | 1 |
| 5 | Emergence and evolution of drug resistance in the absence of viral load monitoring during 48 weeks of Combivir/Tenofovir within the DART Trial. | 8 |
| 6 | Superior virological suppression with nevirapine/zidovudine/lamivudine versus abacavir/zidovudine/lamivudine without evidence of clinical benefit to 48 weeks: a randomised comparison in patients with low CD4 counts in Africa. | 1 |
| 7 | 48 week virological response to a triple nucleoside/nucleotide analogue regimen in adults with HIV infection in Africa within the DART trial. | 10 |
About P. Kaleebu
P. Kaleebu is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 7 papers that have together received 24 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Hepatitis C virus research (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Virology (22 citations), Infectious Diseases (22 citations) and Hepatology (1 citation). Frequent co-authors include James Hakim, C. Kityo, Fred Lyagoba, Charles F. Gilks, Val J. Robertson, Deenan Pillay, David Dunn, Paula Munderi, Francis Ssali and Diana M. Gibb. Their work appears in journals such as AIDS Research and Human Retroviruses.
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.