Jon M. Wigginton

33.9k citations
100 papers · 3.5k indexed · h-index 32

Impact in

  • Immunology top 1%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 1%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cancer Immunotherapy and Biomarkers 48
    • CAR-T cell therapy research 35
    • Immunotherapy and Immune Responses 28
    • Immune Cell Function and Interaction 20
    • T-cell and B-cell Immunology 9

Jon M. Wigginton

99 papers receiving 3.4k citations

Peers

Jon M. Wigginton
Comparison fields: 5 of 102
  • Immunology 2.0k
  • Oncology 2.1k
  • Cancer Research 290
  • Biotechnology 130
  • Hematology 152
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Citations per field
00.5×1.5×1.8×
Andrew J. Long · 1×
Citations per year

Countries citing papers authored by Jon M. Wigginton

Since Specialization
Citations

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

Fields of papers citing papers by Jon M. Wigginton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon M. Wigginton. 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 Jon M. Wigginton. The network helps show where Jon M. Wigginton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202068
2 201710
3 201391
4 2010112
5 2007166
6 200630
7 200614
8 20067
9 200513
10 2004132
11 200384
12 200260
13 200245
14 200132
15 200142
16 200061
17 199837
18 1996135
19 19969
20 19896

About Jon M. Wigginton

Jon M. Wigginton is a scholar working on Oncology, Immunology, Biotechnology, Hematology and Cancer Research, having authored 100 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (48 papers), CAR-T cell therapy research (35 papers), Immunotherapy and Immune Responses (28 papers), Immune Cell Function and Interaction (20 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Cancer Research and Treatments (9 papers), T-cell and B-cell Immunology (9 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (2.1k citations), Cancer Research (290 citations), Biotechnology (130 citations) and Hematology (152 citations). Jon M. Wigginton has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Robert H. Wiltrout, Timothy Back, F. Stephen Hodi, Jeffrey Subleski, Jedd D. Wolchok, Michael J. Brunda, Patrick A. Ott, Kristin L. Komschlies, Howard L. Kaufman and Jonathan M. Weiss. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology, Journal for ImmunoTherapy of Cancer, Annals of Oncology and Blood.

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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