Brian Eley

8.5k citations
196 papers · 5.0k · h-index 41

Impact in

    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 1%
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 54
    • Tuberculosis Research and Epidemiology 27
    • HIV/AIDS drug development and treatment 23
    • Pneumocystis jirovecii pneumonia detection and treatment 12

Brian Eley

189 papers receiving 4.9k citations

Peers

Brian Eley
Comparison fields: 5 of 121
  • Infectious Diseases 3.0k
  • Virology 452
  • Emergency Medicine 359
  • Epidemiology 1.3k
  • Applied Microbiology and Biotechnology 42
Replace Motasim Badri with:
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Mark F. Cotton South Africa
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Anita Rachlis Canada
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Brian Eley relative to Motasim Badri South Africa Motasim Badri's profile →
Citations per field
00.5×1.5×2.5×
Motasim Badri · 1×
Citations per year

Countries citing papers authored by Brian Eley

Since Specialization
Citations

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

Fields of papers citing papers by Brian Eley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011256
2 2008148
3 2009123
4 2012123
5 2007110
6 1995105
7 2001102
8 2005102
9 201096
10 200892
11 200792
12 200986
13 201586
14 201085
15 201285
16 200884
17 200880
18 201263
19 201463
20 200662

About Brian Eley

Brian Eley is a scholar working on Infectious Diseases, Epidemiology, Immunology, Virology and Emergency Medicine, having authored 196 papers that have together received 5.0k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (54 papers), Tuberculosis Research and Epidemiology (27 papers), HIV/AIDS drug development and treatment (23 papers), HIV-related health complications and treatments (18 papers), HIV Research and Treatment (18 papers), Immunodeficiency and Autoimmune Disorders (16 papers), Pneumocystis jirovecii pneumonia detection and treatment (12 papers) and Adolescent Sexual and Reproductive Health (9 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Virology (452 citations), Emergency Medicine (359 citations), Epidemiology (1.3k citations) and Applied Microbiology and Biotechnology (42 citations). Brian Eley has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include James Nuttall, Mary‐Ann Davies, Mark P. Nicol, Geoffrey Fatti, Ashraf Grimwood, Jo M. Wilmshurst, Gregory Hussey, Heather J. Zar, Harry Moultrie and Andrew Boulle. Their work appears in journals such as The Pediatric Infectious Disease Journal, AIDS, BMC Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes and Journal of the International AIDS Society.

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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