Simon Agolory

2.3k citations
34 papers · 623 · h-index 15

Impact in

    • HIV/AIDS Research and Interventions
    • Antimicrobial Resistance in Staphylococcus
    • HIV/AIDS drug development and treatment
    • Tuberculosis Research and Epidemiology
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 14
    • HIV/AIDS drug development and treatment 3
    • SARS-CoV-2 and COVID-19 Research 3
    • Antimicrobial Resistance in Staphylococcus 2
    • COVID-19 Clinical Research Studies 2
    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • HIV, Drug Use, Sexual Risk 2

Simon Agolory

33 papers receiving 602 citations

Peers

Simon Agolory
Comparison fields: 5 of 63
  • Infectious Diseases 449
  • Virology 55
  • Epidemiology 115
  • Clinical Biochemistry 20
  • Emergency Medicine 20
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Simon Agolory

Since Specialization
Citations

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

Fields of papers citing papers by Simon Agolory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Agolory, 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 Simon Agolory Line = papers co-authored together Simon Agolory links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201081
2 201468
3 201468
4 201646
5 201637
6 201732
7 201629
8 202127
9 201623
10 201819
11 201718
12 201518
13 201315
14 201315
15 202014
16 202014
17 202013
18 201812
19 201912
20 202210

About Simon Agolory

Simon Agolory is a scholar working on Infectious Diseases, Epidemiology, Neurology, General Health Professions and Surgery, having authored 34 papers that have together received 623 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (14 papers), HIV/AIDS drug development and treatment (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Long-Term Effects of COVID-19 (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), COVID-19 Clinical Research Studies (2 papers) and HIV, Drug Use, Sexual Risk (2 papers). The work is most often cited by research in Infectious Diseases (449 citations), Virology (55 citations), Epidemiology (115 citations), Clinical Biochemistry (20 citations) and Emergency Medicine (20 citations). Simon Agolory has collaborated with scholars based in United States, Zambia and Namibia. Frequent co-authors include Andrew F. Auld, Gideon Kwesigabo, Olivier Koole, David R. Bangsberg, Ya Diul Mukadi, Modest Mulenga, Robert Colebunders, Eric van Praag, Sharon Tsui and Julie A. Denison. Their work appears in journals such as PLoS ONE, Open Forum Infectious Diseases, Emerging infectious diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes and Tropical Medicine & International Health.

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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