Julian Sutton

1.9k citations
16 papers · 1.6k · 1 hit paper · h-index 13

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 4
    • HIV Research and Treatment 7

Julian Sutton

16 papers receiving 1.6k citations

Julian Sutton's Hit Papers

HIV-specific cytotoxic T-cells in HIV-exposed but uninfected Gambian women 1995 · 634 citations
6340+10+20Years since publication200400600

Peers

Julian Sutton
Comparison fields: 5 of 71
  • Virology 830
  • Immunology 922
  • Infectious Diseases 335
  • Epidemiology 439
  • Hepatology 55
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Julian Sutton relative to Sandra A. Calarota United States Sandra A. Calarota's profile →
Citations per field
00.5×1.7×
Sandra A. Calarota · 1×
Citations per year

Countries citing papers authored by Julian Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Julian Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
HIV-specific cytotoxic T-cells in HIV-exposed but uninfected Gambian women
Hit paper breakdown →
1995634
2 2002441
3 2004165
4 199388
5 200259
6 199530
7 201330
8 199328
9 201324
10 200223
11 200220
12 200518
13 200712
14 200812
15 20082
16 20021

About Julian Sutton

Julian Sutton is a scholar working on Immunology, Virology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), HIV Research and Treatment (7 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers), vaccines and immunoinformatics approaches (3 papers), HIV/AIDS Research and Interventions (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Virology (830 citations), Immunology (922 citations), Infectious Diseases (335 citations), Epidemiology (439 citations) and Hepatology (55 citations). Julian Sutton has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Andrew J. McMichael, Sarah Rowland‐Jones, Frances Gotch, Tao Dong, H.C. Whittle, Awen Gallimore, Denise Whitby, Sarah Rowland‐Jones, Sehu Sabally and Masafumi Takiguchi. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, AIDS, Nature Medicine and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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