Nancy Wilkinson

442 citations
8 papers · 380 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • Chemokine receptors and signaling 3
    • CAR-T cell therapy research 2
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • Immune Response and Inflammation 2

Nancy Wilkinson

8 papers receiving 373 citations

Peers

Nancy Wilkinson
Comparison fields: 5 of 52
  • Immunology 287
  • Cancer Research 85
  • Oncology 125
  • Immunology and Allergy 24
  • Sensory Systems 9
Replace John A. H. Hoerter with:
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Andrei Kirillov Israel
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Joachim Langstein Germany
Changming Shih China
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Citations per field
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Citations per year

Countries citing papers authored by Nancy Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Nancy Wilkinson, 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 Nancy Wilkinson Line = papers co-authored together Nancy Wilkinson links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2009210
2 199668
3 199436
4 199826
5 199420
6 199913
7 20106
8
c-Rel is required for the development of thymic Foxp3(+) CD4 regulatory T cells (vol 206, pg 3001, 2009)
20101

About Nancy Wilkinson

Nancy Wilkinson is a scholar working on Oncology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology, having authored 8 papers that have together received 380 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Chemokine receptors and signaling (3 papers), Receptor Mechanisms and Signaling (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Neuropeptides and Animal Physiology (2 papers), CAR-T cell therapy research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (287 citations), Cancer Research (85 citations), Oncology (125 citations), Immunology and Allergy (24 citations) and Sensory Systems (9 citations). Nancy Wilkinson has collaborated with scholars based in United States and Australia. Frequent co-authors include Javier Navarro, Gregory N. Prado, Hiroyuki Suzuki, Ashish Banerjee, Alice McNally, Anna I. Proietto, Ranjeny Thomas, Iwao Isomura, Raffi Gugasyan and M Shannon. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Membrane Biology.

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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