Dathan M. Byonanebye

966 total citations
24 papers, 388 citations indexed

About

Dathan M. Byonanebye is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Dathan M. Byonanebye has authored 24 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 9 papers in Epidemiology and 6 papers in Virology. Recurrent topics in Dathan M. Byonanebye's work include HIV/AIDS Research and Interventions (9 papers), HIV Research and Treatment (6 papers) and Antibiotic Use and Resistance (5 papers). Dathan M. Byonanebye is often cited by papers focused on HIV/AIDS Research and Interventions (9 papers), HIV Research and Treatment (6 papers) and Antibiotic Use and Resistance (5 papers). Dathan M. Byonanebye collaborates with scholars based in Uganda, United States and Kenya. Dathan M. Byonanebye's co-authors include Moses R. Kamya, Dalsone Kwarisiima, Diane V. Havlir, Tamara D. Clark, Gabriel Chamie, Maya L. Petersen, Laura B. Balzer, Vivek Jain, Florence Mwangwa and Edwin D. Charlebois and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Dathan M. Byonanebye

21 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dathan M. Byonanebye Uganda 11 215 120 119 78 63 24 388
Florence Mwangwa Uganda 14 363 1.7× 181 1.5× 134 1.1× 94 1.2× 122 1.9× 31 650
Eric Nzirakaindi Ikoona Uganda 10 261 1.2× 117 1.0× 80 0.7× 192 2.5× 88 1.4× 22 560
Sumeet Sodhi Canada 12 212 1.0× 102 0.8× 97 0.8× 192 2.5× 119 1.9× 19 479
Sonak D. Pastakia United States 8 174 0.8× 129 1.1× 156 1.3× 60 0.8× 35 0.6× 13 469
Chiyembekezo Kachimanga United States 11 140 0.7× 106 0.9× 35 0.3× 130 1.7× 124 2.0× 52 422
Rex Mpazanje Nigeria 12 210 1.0× 137 1.1× 18 0.2× 97 1.2× 73 1.2× 24 501
Mucunguzi Atukunda Uganda 7 182 0.8× 133 1.1× 55 0.5× 44 0.6× 25 0.4× 15 283
Edwin Sang Kenya 17 486 2.3× 259 2.2× 173 1.5× 176 2.3× 103 1.6× 32 694
Gibson Kagaruki Tanzania 9 96 0.4× 37 0.3× 91 0.8× 39 0.5× 64 1.0× 25 302
Amanda Su United States 7 153 0.7× 105 0.9× 46 0.4× 57 0.7× 22 0.3× 11 296

Countries citing papers authored by Dathan M. Byonanebye

Since Specialization
Citations

This map shows the geographic impact of Dathan M. Byonanebye'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 Dathan M. Byonanebye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dathan M. Byonanebye more than expected).

Fields of papers citing papers by Dathan M. Byonanebye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dathan M. Byonanebye. 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 Dathan M. Byonanebye. The network helps show where Dathan M. Byonanebye may publish in the future.

Co-authorship network of co-authors of Dathan M. Byonanebye

This figure shows the co-authorship network connecting the top 25 collaborators of Dathan M. Byonanebye. A scholar is included among the top collaborators of Dathan M. Byonanebye 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 Dathan M. Byonanebye. Dathan M. Byonanebye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Mayito, Jonathan, et al.. (2025). Prevalence and factors associated with multidrug resistant Escherichia coli carriage on chicken farms in west Nile region in Uganda: A cross-sectional survey. PLOS Global Public Health. 5(1). e0003802–e0003802. 1 indexed citations
3.
Byonanebye, Dathan M., et al.. (2025). Health security at genomic artificial intelligence–antimicrobial resistance frontiers in low-income countries. The Lancet Microbe. 7(2). 101282–101282.
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Kiggundu, Reuben, et al.. (2024). Progress on implementing the WHO-GLASS recommendations on priority pathogen-antibiotic sensitivity testing in Africa: A scoping review. SHILAP Revista de lepidopterología. 9. 692–692. 1 indexed citations
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Kiggundu, Reuben, et al.. (2024). Utility of syndromic surveillance for the surveillance of healthcare-associated infections in resource-limited settings: a narrative review. Frontiers in Microbiology. 15. 1493511–1493511. 1 indexed citations
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Byonanebye, Dathan M., Mark N. Polizzotto, Rosalind Parkes‐Ratanshi, et al.. (2023). Prevalence and incidence of hypertension in a heavily treatment-experienced cohort of people living with HIV in Uganda. PLoS ONE. 18(2). e0282001–e0282001. 9 indexed citations
11.
Byonanebye, Dathan M., Agnes Bwanika Naggirinya, Mohammed Lamorde, et al.. (2021). An Interactive Voice Response Software to Improve the Quality of Life of People Living With HIV in Uganda: Randomized Controlled Trial. JMIR mhealth and uhealth. 9(2). e22229–e22229. 24 indexed citations
12.
Byonanebye, Dathan M., Christine Sekaggya‐Wiltshire, Agnes Kiragga, et al.. (2021). Impact of a mobile phone-based interactive voice response software on tuberculosis treatment outcomes in Uganda (CFL-TB): a protocol for a randomized controlled trial. Trials. 22(1). 391–391. 16 indexed citations
13.
Byonanebye, Dathan M., Fred C. Semitala, Peter Kyambadde, et al.. (2020). High viral suppression and low attrition in healthy HIV-infected patients initiated on ART with CD4 above 500 cells/μL in a program setting in Uganda. African Health Sciences. 20(1). 132–141. 6 indexed citations
14.
Baluku, Joseph Baruch, et al.. (2020). Absolute eosinophil count correlates with temperature and CD4 count independently of HIV infection among tuberculosis patients. Tropical Medicine & International Health. 25(9). 1079–1084. 1 indexed citations
15.
Kwarisiima, Dalsone, Mucunguzi Atukunda, Asiphas Owaraganise, et al.. (2019). Hypertension control in integrated HIV and chronic disease clinics in Uganda in the SEARCH study. BMC Public Health. 19(1). 511–511. 73 indexed citations
16.
Kwarisiima, Dalsone, Laura B. Balzer, David J. Heller, et al.. (2016). Population-Based Assessment of Hypertension Epidemiology and Risk Factors among HIV-Positive and General Populations in Rural Uganda. PLoS ONE. 11(5). e0156309–e0156309. 67 indexed citations
17.
Jain, Vivek, Maya L. Petersen, Teri Liegler, et al.. (2016). Population levels and geographical distribution of HIV RNA in rural Ugandan and Kenyan communities, including serodiscordant couples: a cross-sectional analysis. The Lancet HIV. 4(3). e122–e133. 14 indexed citations
18.
Jain, Vivek, Wei Chang, Dathan M. Byonanebye, et al.. (2015). Estimated Costs for Delivery of HIV Antiretroviral Therapy to Individuals with CD4+ T-Cell Counts >350 cells/uL in Rural Uganda. PLoS ONE. 10(12). e0143433–e0143433. 13 indexed citations
19.
Byonanebye, Dathan M., Gideon Amanyire, Dalsone Kwarisiima, et al.. (2014). Successful antiretroviral therapy delivery and retention in care among asymptomatic individuals with high CD4+ T-cell counts above 350 cells/μl in rural Uganda. AIDS. 28(15). 2241–2249. 23 indexed citations
20.
Jain, Vivek, Dathan M. Byonanebye, Teri Liegler, et al.. (2013). Changes in Population HIV RNA Levels in Mbarara, Uganda, During Scale-up of HIV Antiretroviral Therapy Access. JAIDS Journal of Acquired Immune Deficiency Syndromes. 65(3). 327–332. 13 indexed citations

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.

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