Steve Kaye

4.2k citations
97 papers · 3.5k · h-index 34

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 44
    • HIV/AIDS drug development and treatment 32
    • HIV/AIDS Research and Interventions 24

Steve Kaye

97 papers receiving 3.3k citations

Peers

Steve Kaye
Comparison fields: 5 of 120
  • Virology 1.2k
  • Infectious Diseases 1.4k
  • Epidemiology 1.1k
  • Immunology 663
  • Hepatology 235
Replace Samuel J. McConkey with:
Samuel J. McConkey Ireland
Neil J. Berry United Kingdom
Frank F. Miedema Netherlands
Jason F. Okulicz United States
Sergio Lo Caputo Italy
Yoann Madec France
Gustavo Reyes‐Terán Mexico
Édouard Tuaillon France
Tedi E. Asher United States
Kathryn E. Stephenson United States
Steve Kaye relative to Samuel J. McConkey Ireland Samuel J. McConkey's profile →
Citations per field
00.5×1.5×1.8×
Samuel J. McConkey · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003206
2 2003204
3 2010170
4 2020109
5 1996103
6 1997103
7 2010103
8 2007100
9 200999
10 200185
11 201385
12 200279
13 200879
14 200778
15 200773
16 199571
17 200271
18 201067
19 199266
20 200163

About Steve Kaye

Steve Kaye is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Hepatology, having authored 97 papers that have together received 3.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (44 papers), HIV/AIDS drug development and treatment (32 papers), HIV/AIDS Research and Interventions (24 papers), Immune Cell Function and Interaction (10 papers), Cytomegalovirus and herpesvirus research (10 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Hepatitis B Virus Studies (6 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (1.4k citations), Epidemiology (1.1k citations), Immunology (663 citations) and Hepatology (235 citations). Steve Kaye has collaborated with scholars based in United Kingdom, Gambia and Netherlands. Frequent co-authors include Clive Loveday, Richard S. Tedder, Hilton C. Whittle, Myra O. McClure, Sarah Rowland‐Jones, Marianne A. B. van der Sande, Jonathan N Weber, Arnaud Marchant, Otto W Erlwein and Olubukola Ojuola. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology, AIDS, Retrovirology and The Journal of Infectious Diseases.

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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