Steve Patterson

1.3k citations
30 papers · 888 · h-index 19

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 15
    • Immunotherapy and Immune Responses 11
    • Reproductive System and Pregnancy 3
    • T-cell and Retrovirus Studies 2
    • HIV Research and Treatment 16

Steve Patterson

30 papers receiving 848 citations

Peers

Steve Patterson
Comparison fields: 5 of 78
  • Virology 220
  • Immunology 368
  • Polymers and Plastics 116
  • Microbiology 41
  • Infectious Diseases 99
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Citations per field
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Citations per year

Countries citing papers authored by Steve Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Steve Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004281
2 200346
3 200342
4 198640
5 199538
6 200336
7 199432
8 198932
9 200131
10 198829
11 200429
12 200128
13 198527
14 200324
15 199822
16 200521
17 200320
18 201218
19
Role of retroviruses in acquired hypogammaglobulinaemia.
198818
20 200412

About Steve Patterson

Steve Patterson is a scholar working on Immunology, Virology, Epidemiology, Oncology and Infectious Diseases, having authored 30 papers that have together received 888 indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (11 papers), Viral-associated cancers and disorders (7 papers), Cytomegalovirus and herpesvirus research (6 papers), Reproductive System and Pregnancy (3 papers), T-cell and Retrovirus Studies (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Virology (220 citations), Immunology (368 citations), Polymers and Plastics (116 citations), Microbiology (41 citations) and Infectious Diseases (99 citations). Steve Patterson has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Frances Gotch, Justin Stebbing, Ian Teo, Sunil Shaunak, Philip J. Luthert, Antony Godwin, Peng T. Khaw, Sharyn Thomas, Ruth Duncan and Steve Brocchini. Their work appears in journals such as Blood, Cell Research, AIDS, Clinical & Experimental Immunology and Journal of Molecular Evolution.

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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