Steve Kaye

4.7k citations
85 papers · 3.0k · h-index 31

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 38
    • HIV/AIDS drug development and treatment 27
    • HIV/AIDS Research and Interventions 20

Steve Kaye

85 papers receiving 2.8k citations

Peers

Steve Kaye
Comparison fields: 5 of 116
  • Virology 953
  • Infectious Diseases 1.1k
  • Epidemiology 1.0k
  • Hepatology 218
  • Immunology 598
Replace Neil Berry with:
Neil Berry United Kingdom
Frank Miedema Netherlands
Sergio Lo Caputo Italy
Sheila M. Keating United States
Jason F. Okulicz United States
Thomas Bourlet France
Nell S. Lurain United States
Édouard Tuaillon France
Jukka Suni Finland
Tedi E. Asher United States
Steve Kaye relative to Neil Berry United Kingdom Neil Berry's profile →
Citations per field
00.5×6.8×
Neil Berry · 1×
Citations per year

Countries citing papers authored by Steve Kaye

Since Specialization
Citations

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

Fields of papers citing papers by Steve Kaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003201
2 2003200
3 2010157
4 1997101
5 1996100
6 201096
7 200995
8 200790
9 200182
10 200778
11 200876
12 200771
13 200270
14 200269
15 199567
16 201066
17 199265
18 200159
19 201155
20 200849

About Steve Kaye

Steve Kaye is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Hepatology, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (38 papers), HIV/AIDS drug development and treatment (27 papers), HIV/AIDS Research and Interventions (20 papers), Immune Cell Function and Interaction (10 papers), Cytomegalovirus and herpesvirus research (10 papers), Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Virology (953 citations), Infectious Diseases (1.1k citations), Epidemiology (1.0k citations), Hepatology (218 citations) and Immunology (598 citations). Steve Kaye has collaborated with scholars based in United Kingdom, Gambia and United States. Frequent co-authors include Hilton Whittle, Clive Loveday, Richard S. Tedder, Sarah Rowland‐Jones, Myra O. McClure, Marianne A. B. van der Sande, Jonathan Weber, Arnaud Marchant, Olubukola Ojuola and Otto Erlwein. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology, AIDS, Retrovirology and 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.

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