Tom Sidwell

989 citations
9 papers · 223 indexed · h-index 7

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immunodeficiency and Autoimmune Disorders
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • Immunodeficiency and Autoimmune Disorders 1
    • IL-33, ST2, and ILC Pathways 1
    • Epigenetics and DNA Methylation 1
    • Chromatin Remodeling and Cancer 1

Tom Sidwell

9 papers receiving 219 citations

Peers

Tom Sidwell
Comparison fields: 5 of 55
  • Immunology 154
  • Cancer Research 25
  • Oncology 32
  • Hematology 9
  • Transplantation 2
Replace Thordis Hohnstein with:
Thordis Hohnstein Germany
Maya Hassane Lebanon
Marine Villard France
Manuela Terranova Barberio United States
Bijun Sun China
Tatsuo Masuda Japan
Seraya Maouche Germany
Danielle Sartini United States
Changsoo Kwak United States
Andrew R. Marderstein United States
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Citations per field
00.5×2.7×
Thordis Hohnstein · 1×
Citations per year

Countries citing papers authored by Tom Sidwell

Since Specialization
Citations

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

Fields of papers citing papers by Tom Sidwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202063
2 201245
3 201936
4 201536
5 202118
6 201315
7 20186
8 20243
9
The transcriptional regulator, IRF4 is essential for the development of follicular T regulatory cells
20161

About Tom Sidwell

Tom Sidwell is a scholar working on Immunology, Molecular Biology, Dermatology, Rheumatology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 223 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Epigenetics and DNA Methylation (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), NF-κB Signaling Pathways (1 paper), Urticaria and Related Conditions (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Immunology (154 citations), Cancer Research (25 citations), Oncology (32 citations), Hematology (9 citations) and Transplantation (2 citations). Tom Sidwell has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Ajithkumar Vasanthakumar, Ellen V. Rothenberg, Ashish Banerjee, George Grigoriadis, David Hawkes, Rachael A. Dunlop, Axel Kallies, Renee Gloury, Raffi Gugasyan and Yang Liao. Their work appears in journals such as Frontiers in Immunology, Immunological Reviews, Nature Communications, Journal of Autoimmunity and European Journal of Immunology.

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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