Mark A. Exley
- Immunology top 0.1%
- Immune Cell Function and Interaction 102
- T-cell and B-cell Immunology 77
- Immunotherapy and Immune Responses 26
- IL-33, ST2, and ILC Pathways 8
- Virology top 2%
- Oncology top 1%
- CAR-T cell therapy research 32
- Genetics top 1%
- Diabetes and associated disorders 6
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research 7
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- Cancer Research and Treatments 6
- Co-authors
- Steven P. BalkSteven A. PorcelliJorge A. GarcíaRichard S. BlumbergLydia LynchDonal O’SheaAngela ShaulovJack L. Strominger
- Cited by
- ImmunologyVirologyOncology
- Journals
- The Journal of Immunology (16 papers)Clinical Immunology (7 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Mark A. Exley
120 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 8.0k
- Virology 333
- Oncology 1.8k
- Genetics 1.4k
- Epidemiology 1.5k
Countries citing papers authored by Mark A. Exley
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2017 | 24 | |
| 3 | 2015 | 15 | |
| 4 | 2014 | 13 | |
| 5 | 2013 | 33 | |
| 6 | 2010 | 55 | |
| 7 | 2009 | 18 | |
| 8 | 2006 | 13 | |
| 9 | Nonclassical CD1d-restricted NK T cells that produce IL-13 characterize an atypical Th2 response in ulcerative colitisbreakdown → | 2004 | 600 |
| 10 | 2004 | 106 | |
| 11 | 2003 | 22 | |
| 12 | 2003 | 72 | |
| 13 | 2002 | 28 | |
| 14 | 2002 | 497 | |
| 15 | 2002 | 113 | |
| 16 | 2001 | 320 | |
| 17 | 2001 | 15 | |
| 18 | 2001 | 195 | |
| 19 | 2001 | 127 | |
| 20 | 1996 | 184 |
About Mark A. Exley
Mark A. Exley is a scholar working on Immunology, Oncology, Virology, Physiology and Biotechnology, having authored 124 papers that have together received 10.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (102 papers), T-cell and B-cell Immunology (77 papers), CAR-T cell therapy research (32 papers), Immunotherapy and Immune Responses (26 papers), IL-33, ST2, and ILC Pathways (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Diabetes and associated disorders (6 papers) and Cancer Research and Treatments (6 papers). The work is most often cited by research in Immunology (8.0k citations), Virology (333 citations), Oncology (1.8k citations), Genetics (1.4k citations) and Epidemiology (1.5k citations). Mark A. Exley has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Steven P. Balk, Steven A. Porcelli, Jorge A. García, Richard S. Blumberg, Lydia Lynch, Donal O’Shea, Angela Shaulov, Jack L. Strominger, S. Brian Wilson and Margaret James Koziel. Their work appears in journals such as The Journal of Immunology, Clinical Immunology, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and 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.