Thomas V. Guy

826 citations
10 papers · 652 · h-index 8

Impact in

  • Immunology top 5%
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Dermatology and Skin Diseases

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • IL-33, ST2, and ILC Pathways 2
    • Immune Response and Inflammation 2
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2

Thomas V. Guy

10 papers receiving 647 citations

Peers

Thomas V. Guy
Comparison fields: 5 of 67
  • Immunology 549
  • Dermatology 92
  • Immunology and Allergy 44
  • Surgery 254
  • Physiology 88
Replace Holly A. Bolton with:
Holly A. Bolton Australia
Tatsukuni Ohno Japan
Yoichiro Ohne Japan
Emilie Mirey France
Yuriko Ishikawa Japan
Tomohisa Iinuma Japan
Ángel Vera Spain
Christine Delprat France
Tadashi Umeda Japan
Anna-Dorothea Gorki Austria
Thomas V. Guy relative to Holly A. Bolton Australia Holly A. Bolton's profile →
Citations per field
00.5×1.5×
Holly A. Bolton · 1×
Citations per year

Countries citing papers authored by Thomas V. Guy

Since Specialization
Citations

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

Fields of papers citing papers by Thomas V. Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas V. Guy. 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 Thomas V. Guy. The network helps show where Thomas V. Guy may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2013380
2 2015124
3 201564
4 201630
5 201623
6 20208
7 20168
8 20127
9 20146
10 20232

About Thomas V. Guy

Thomas V. Guy is a scholar working on Immunology, Oncology, Surgery, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 652 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Immune Response and Inflammation (2 papers), CAR-T cell therapy research (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (549 citations), Dermatology (92 citations), Immunology and Allergy (44 citations), Surgery (254 citations) and Physiology (88 citations). Thomas V. Guy has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Barbara Fazekas de St Groth, Holly A. Bolton, Szun S. Tay, Ben Roediger, Wolfgang Weninger, Andrew J. Mitchell, Philip L. Tong, Graham Le Gros, Elizabeth Forbes‐Blom and Ryan Kyle. Their work appears in journals such as Immunology and Cell Biology, Clinical & Experimental Immunology, Nature Immunology, OncoImmunology and PLoS ONE.

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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