Mark A. Exley

12.9k citations
131 papers · 11.2k · h-index 56

Impact in

  • Immunology top 0.1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Reproductive System and Pregnancy
    • Immune Response and Inflammation
  • Virology top 2%

Papers in

    • Immune Cell Function and Interaction 109
    • T-cell and B-cell Immunology 72
    • Immunotherapy and Immune Responses 24
    • IL-33, ST2, and ILC Pathways 7
    • CAR-T cell therapy research 30

Mark A. Exley

125 papers receiving 10.9k citations

Peers

Mark A. Exley
Comparison fields: 5 of 117
  • Immunology 8.1k
  • Virology 336
  • Oncology 1.7k
  • Genetics 1.5k
  • Epidemiology 1.4k
Replace Jason D. Fontenot with:
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Mark A. Exley relative to Jason D. Fontenot United States Jason D. Fontenot's profile →
Citations per field
00.5×1.5×1.8×
Jason D. Fontenot · 1×
Citations per year

Countries citing papers authored by Mark A. Exley

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Exley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Exley. 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 Mark A. Exley. The network helps show where Mark A. Exley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004662
2 1998579
3 2002576
4 2002530
5 1997484
6 2012422
7 2001338
8 1999316
9 2002265
10 2001260
11 2001210
12 1983201
13 1996195
14 2014192
15 2000190
16 2012180
17 1987173
18 2000173
19 1998171
20 2002165

About Mark A. Exley

Mark A. Exley is a scholar working on Immunology, Oncology, Virology, Epidemiology and Hematology, having authored 131 papers that have together received 11.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (109 papers), T-cell and B-cell Immunology (72 papers), CAR-T cell therapy research (30 papers), Immunotherapy and Immune Responses (24 papers), Diabetes and associated disorders (7 papers), IL-33, ST2, and ILC Pathways (7 papers), Cytomegalovirus and herpesvirus research (6 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Immunology (8.1k citations), Virology (336 citations), Oncology (1.7k citations), Genetics (1.5k citations) and Epidemiology (1.4k citations). Mark A. Exley has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Steven P. Balk, Steven Anthony Porcelli, Jorge Alberto García, Richard S. Blumberg, Lydia Lynch, Angela Shaulov, Donal O’Shea, S. Brian Wilson, Jack L. Strominger and Brian Wilson. Their work appears in journals such as The Journal of Immunology, Clinical Immunology, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences and Frontiers in 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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