Diane Mathis

68.7k total citations · 23 hit papers
382 papers, 51.6k citations indexed

About

Diane Mathis is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Diane Mathis has authored 382 papers receiving a total of 51.6k indexed citations (citations by other indexed papers that have themselves been cited), including 289 papers in Immunology, 97 papers in Genetics and 81 papers in Molecular Biology. Recurrent topics in Diane Mathis's work include T-cell and B-cell Immunology (215 papers), Immune Cell Function and Interaction (211 papers) and Diabetes and associated disorders (84 papers). Diane Mathis is often cited by papers focused on T-cell and B-cell Immunology (215 papers), Immune Cell Function and Interaction (211 papers) and Diabetes and associated disorders (84 papers). Diane Mathis collaborates with scholars based in United States, France and Japan. Diane Mathis's co-authors include Christophe Benoıst, Markus Feuerer, Steven E. Shoelson, Jonathan D. Katz, Jonathan A. Hill, Daniela Cipolletta, Andrée Dierich, Esen Sefik, Caroline Waltzinger and Emily S. Venanzi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Diane Mathis

381 papers receiving 50.7k citations

Hit Papers

Projection of an Immunological Self Shadow Within the... 1987 2026 2000 2013 2002 2009 2010 2006 2012 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diane Mathis United States 125 32.5k 13.5k 10.0k 6.0k 5.0k 382 51.6k
Christophe Benoıst United States 124 32.9k 1.0× 15.6k 1.2× 9.7k 1.0× 6.6k 1.1× 4.5k 0.9× 410 53.9k
Jeffrey A. Bluestone United States 140 47.5k 1.5× 11.2k 0.8× 14.4k 1.4× 13.4k 2.2× 10.1k 2.0× 499 69.0k
Nico van Rooijen Netherlands 146 38.1k 1.2× 21.4k 1.6× 5.5k 0.5× 10.0k 1.7× 8.1k 1.6× 838 80.5k
Bruce Beutler United States 112 38.1k 1.2× 17.2k 1.3× 3.9k 0.4× 5.6k 0.9× 3.1k 0.6× 406 64.5k
Yoichiro Iwakura Japan 126 32.8k 1.0× 18.2k 1.3× 3.9k 0.4× 7.8k 1.3× 4.5k 0.9× 694 61.6k
Warren Strober United States 114 26.2k 0.8× 11.6k 0.9× 11.0k 1.1× 5.0k 0.8× 6.6k 1.3× 437 49.5k
Shimon Sakaguchi Japan 109 53.8k 1.7× 9.0k 0.7× 5.3k 0.5× 15.6k 2.6× 3.3k 0.7× 308 68.3k
Emil R. Unanue United States 106 24.6k 0.8× 10.3k 0.8× 4.5k 0.5× 3.0k 0.5× 3.3k 0.7× 432 39.9k
David V. Goeddel United States 106 24.1k 0.7× 34.7k 2.6× 4.8k 0.5× 12.4k 2.1× 2.7k 0.5× 194 64.8k
Laurie H. Glimcher United States 101 23.4k 0.7× 13.1k 1.0× 3.5k 0.4× 4.9k 0.8× 5.1k 1.0× 235 45.4k

Countries citing papers authored by Diane Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Diane Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Mathis

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Mathis. A scholar is included among the top collaborators of Diane Mathis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diane Mathis. Diane Mathis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Walker, Alec J., Teshika Jayewickreme, Felipe A. Pinho‐Ribeiro, et al.. (2025). The meninges host a distinct compartment of regulatory T cells that preserves brain homeostasis. Science Immunology. 10(104). eadu2910–eadu2910. 12 indexed citations
2.
Galván-Peña, Silvia, Yangyang Zhu, Bola S. Hanna, Diane Mathis, & Christophe Benoıst. (2024). A dynamic atlas of immunocyte migration from the gut. Science Immunology. 9(91). eadi0672–eadi0672. 28 indexed citations
3.
Ramanan, Deepshika, Kaitavjeet Chowdhary, Serge M. Candéias, et al.. (2023). Homeostatic, repertoire and transcriptional relationships between colon T regulatory cell subsets. Proceedings of the National Academy of Sciences. 120(50). e2311566120–e2311566120. 11 indexed citations
4.
Bansal, Kushagra, Daniel A. Michelson, Ricardo N. Ramírez, et al.. (2021). Aire regulates chromatin looping by evicting CTCF from domain boundaries and favoring accumulation of cohesin on superenhancers. Proceedings of the National Academy of Sciences. 118(38). 16 indexed citations
5.
Reddy, Anita, Luiz H. M. Bozi, Omar Yaghi, et al.. (2020). pH-Gated Succinate Secretion Regulates Muscle Remodeling in Response to Exercise. Cell. 183(1). 62–75.e17. 166 indexed citations
6.
Zemmour, David, Alvin Pratama, Scott Loughhead, Diane Mathis, & Christophe Benoıst. (2017). Flicr , a long noncoding RNA, modulates Foxp3 expression and autoimmunity. Proceedings of the National Academy of Sciences. 114(17). E3472–E3480. 131 indexed citations
7.
Gaglia, Jason L., Mukesh G. Harisinghani, Iman Aganj, et al.. (2015). Noninvasive mapping of pancreatic inflammation in recent-onset type-1 diabetes patients. Proceedings of the National Academy of Sciences. 112(7). 2139–2144. 100 indexed citations
8.
Mingueneau, Michaël, Smita Krishnaswamy, Matthew H. Spitzer, et al.. (2014). Single-cell mass cytometry of TCR signaling: Amplification of small initial differences results in low ERK activation in NOD mice. Proceedings of the National Academy of Sciences. 111(46). 16466–16471. 43 indexed citations
9.
Feuerer, Markus, Jonathan A. Hill, Karsten Kretschmer, et al.. (2010). Genomic definition of multiple ex vivo regulatory T cell subphenotypes. Proceedings of the National Academy of Sciences. 107(13). 5919–5924. 173 indexed citations
10.
Nishio, Junko, Markus Feuerer, Jamie Wong, Diane Mathis, & Christophe Benoıst. (2010). Anti-CD3 therapy permits regulatory T cells to surmount T cell receptor–specified peripheral niche constraints. The Journal of Experimental Medicine. 207(9). 1879–1889. 56 indexed citations
11.
Rubtsov, Yury P., Rachel Niec, Steven Z. Josefowicz, et al.. (2010). Stability of the Regulatory T Cell Lineage in Vivo. Science. 329(5999). 1667–1671. 553 indexed citations breakdown →
12.
Guerau‐de‐Arellano, Mireia, Marianne M. Martinic, Christophe Benoıst, & Diane Mathis. (2009). Neonatal tolerance revisited: a perinatal window for Aire control of autoimmunity. The Journal of Experimental Medicine. 206(6). 1245–1252. 132 indexed citations
13.
D’Alise, Anna Morena, Vincent C. Auyeung, Markus Feuerer, et al.. (2008). The defect in T-cell regulation in NOD mice is an effect on the T-cell effectors. Proceedings of the National Academy of Sciences. 105(50). 19857–19862. 164 indexed citations
14.
Besse, Whitney, et al.. (2008). Ectopic expression of peripheral-tissue antigens in the thymic epithelium: Probabilistic, monoallelic, misinitiated. Proceedings of the National Academy of Sciences. 105(41). 15854–15859. 106 indexed citations
15.
Kuo, Alex, Peggie Cheung, Jakub Abramson, et al.. (2008). Aire employs a histone-binding module to mediate immunological tolerance, linking chromatin regulation with organ-specific autoimmunity. Proceedings of the National Academy of Sciences. 105(41). 15878–15883. 142 indexed citations
16.
Feuerer, Markus, Wenyu Jiang, Phillip D. Holler, et al.. (2007). Enhanced thymic selection of FoxP3 + regulatory T cells in the NOD mouse model of autoimmune diabetes. Proceedings of the National Academy of Sciences. 104(46). 18181–18186. 63 indexed citations
17.
Luckey, Chance John, Deepta Bhattacharya, Ananda W. Goldrath, et al.. (2006). Memory T and memory B cells share a transcriptional program of self-renewal with long-term hematopoietic stem cells. Proceedings of the National Academy of Sciences. 103(9). 3304–3309. 213 indexed citations
18.
Turley, Shannon J., et al.. (2005). Endocrine self and gut non-self intersect in the pancreatic lymph nodes. Proceedings of the National Academy of Sciences. 102(49). 17729–17733. 142 indexed citations
19.
Poirot, Laurent, Christophe Benoıst, & Diane Mathis. (2004). Natural killer cells distinguish innocuous and destructive forms of pancreatic islet autoimmunity. Proceedings of the National Academy of Sciences. 101(21). 8102–8107. 134 indexed citations
20.
Anderson, Mark S., Emily S. Venanzi, Ludger Klein, et al.. (2002). Projection of an Immunological Self Shadow Within the Thymus by the Aire Protein. Science. 298(5597). 1395–1401. 1744 indexed citations breakdown →

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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