Matthew E. Call

3.4k citations
40 papers · 2.6k · h-index 22

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 21
    • T-cell and B-cell Immunology 18
    • Lipid Membrane Structure and Behavior 9
    • Receptor Mechanisms and Signaling 6
    • Protein Structure and Dynamics 3

Matthew E. Call

38 papers receiving 2.5k citations

Peers

Matthew E. Call
Comparison fields: 5 of 95
  • Immunology 1.5k
  • Oncology 568
  • Immunology and Allergy 88
  • Radiology, Nuclear Medicine and Imaging 293
  • Molecular Biology 918
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Matthew E. Call relative to Jason W. Pyrdol United States Jason W. Pyrdol's profile →
Citations per field
00.5×1.5×2.3×
Jason W. Pyrdol · 1×
Citations per year

Countries citing papers authored by Matthew E. Call

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Call

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Call. 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 Matthew E. Call. The network helps show where Matthew E. Call may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008352
2 2002330
3 2006177
4 2005168
5 2004153
6 2010148
7 2006140
8 2005131
9 2010119
10 200487
11 200485
12 200782
13 200667
14 200766
15 200565
16 201540
17 201738
18 202236
19 201936
20 200636

About Matthew E. Call

Matthew E. Call is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (18 papers), Lipid Membrane Structure and Behavior (9 papers), Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (5 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (568 citations), Immunology and Allergy (88 citations), Radiology, Nuclear Medicine and Imaging (293 citations) and Molecular Biology (918 citations). Matthew E. Call has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Kai W. Wucherpfennig, James J. Chou, Jason W. Pyrdol, Chenqi Xu, Martin Wiedmann, Melissa Call, Jianwen A. Feng, Jason R. Schnell, Étienne Gagnon and Christopher V. Carman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Cell, Journal of Visualized Experiments and Molecular Cell.

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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