Fred Nsubuga

605 citations
19 papers · 320 · h-index 9

Impact in

    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • HIV Research and Treatment

Papers in

Fred Nsubuga

15 papers receiving 308 citations

Peers

Fred Nsubuga
Comparison fields: 5 of 45
  • Infectious Diseases 158
  • Virology 30
  • Health 20
  • Modeling and Simulation 10
  • Epidemiology 62
Replace Gerald Pande with:
Gerald Pande Uganda
Henri van Asten Netherlands
Margaret Govha United States
Perseverance Moyo South Africa
Edwinah Atusingwize Uganda
Moses Ntaro Uganda
Felix Kayigamba Rwanda
Mary Agócs United States
Pierre Gashema Rwanda
Tochi Okwor Nigeria
Fred Nsubuga relative to Gerald Pande Uganda Gerald Pande's profile →
Citations per field
00.5×
Gerald Pande · 1×
Citations per year

Countries citing papers authored by Fred Nsubuga

Since Specialization
Citations

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

Fields of papers citing papers by Fred Nsubuga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Nsubuga. 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 Fred Nsubuga. The network helps show where Fred Nsubuga may publish in the future.

Co-authors

The 25 scholars most cited alongside Fred Nsubuga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fred Nsubuga Line = papers co-authored together Fred Nsubuga links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017173
2 200442
3 201918
4 201814
5 201814
6 201712
7 201711
8 20198
9 20198
10 20247
11 20225
12
Factors Associated with Virological Non suppression among HIV-Positive Patients on Antiretroviral Therapy in Uganda
20174
13 20182
14 20251
15 20181
16 20250
17 20240
18 20240
19 20180

About Fred Nsubuga

Fred Nsubuga is a scholar working on Epidemiology, Infectious Diseases, Health, Economics and Econometrics and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 320 indexed citations. Recurring topics across this work include Virology and Viral Diseases (5 papers), Vaccine Coverage and Hesitancy (3 papers), HIV/AIDS Impact and Responses (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Zoonotic diseases and public health (2 papers), COVID-19 epidemiological studies (2 papers) and Sex work and related issues (1 paper). The work is most often cited by research in Infectious Diseases (158 citations), Virology (30 citations), Health (20 citations), Modeling and Simulation (10 citations) and Epidemiology (62 citations). Fred Nsubuga has collaborated with scholars based in Uganda, United States and Pakistan. Frequent co-authors include Alex Riolexus Ario, Lilian Bulage, Gerald Pande, Joseph K. B. Matovu, Charles Kiyaga, Isaac Ssewanyana, Victoria Nankabirwa, Rhoda K. Wanyenze, Christine Kihembo and James Okot-Okumu. Their work appears in journals such as BMC Infectious Diseases, PLoS ONE, Preventive Medicine Reports, The Lancet Global Health and BMC Health Services Research.

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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