Diane Mathis
Impact in
- Immunology top 0.01%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Genetics top 0.02%
- Diabetes and associated disorders
Papers in
- Immunology 283
- T-cell and B-cell Immunology 215
- Immune Cell Function and Interaction 209
- Immunotherapy and Immune Responses 80
- IL-33, ST2, and ILC Pathways 21
- Genetics 97
- Diabetes and associated disorders 84
- Co-authors
- Christophe Benoıst (251 shared papers)Markus Feuerer (15 shared papers)Steven E. Shoelson (4 shared papers)Jonathan D. Katz (9 shared papers)Jonathan A. Hill (10 shared papers)Daniela Cipolletta (6 shared papers)Andrée Dierich (7 shared papers)Esen Sefik (9 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (84 papers)The Journal of Experimental Medicine (34 papers)Immunity (30 papers)Cell (24 papers)European Journal of Immunology (17 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Diane Mathis
381 papers receiving 51.4k citations
Diane Mathis's Hit Papers
Peers
Comparison fields: 5 of 170
- Immunology 31.1k
- Genetics 9.5k
- Endocrinology, Diabetes and Metabolism 4.1k
- Immunology and Allergy 1.4k
- Biological Psychiatry 529
Countries citing papers authored by Diane Mathis
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
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-authors
The 25 scholars most cited alongside Diane Mathis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 383 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Projection of an Immunological Self Shadow Within the Thymus by the Aire Protein Hit paper breakdown → | 2002 | 1762 |
| 2 | Lean, but not obese, fat is enriched for a unique population of regulatory T cells that affect metabolic parameters Hit paper breakdown → | 2009 | 1693 |
| 3 | Gut-Residing Segmented Filamentous Bacteria Drive Autoimmune Arthritis via T Helper 17 Cells Hit paper breakdown → | 2010 | 1209 |
| 4 | FOXP3 Controls Regulatory T Cell Function through Cooperation with NFAT Hit paper breakdown → | 2006 | 947 |
| 5 | Gut Immune Maturation Depends on Colonization with a Host-Specific Microbiota Hit paper breakdown → | 2012 | 938 |
| 6 | A Special Population of Regulatory T Cells Potentiates Muscle Repair Hit paper breakdown → | 2013 | 932 |
| 7 | PPAR-γ is a major driver of the accumulation and phenotype of adipose tissue Treg cells Hit paper breakdown → | 2012 | 930 |
| 8 | Microbial bile acid metabolites modulate gut RORγ+ regulatory T cell homeostasis Hit paper breakdown → | 2019 | 762 |
| 9 | Treg Cells Expressing the Coinhibitory Molecule TIGIT Selectively Inhibit Proinflammatory Th1 and Th17 Cell Responses Hit paper breakdown → | 2014 | 729 |
| 10 | β-Cell death during progression to diabetes Hit paper breakdown → | 2001 | 721 |
| 11 | Organ-Specific Disease Provoked by Systemic Autoimmunity Hit paper breakdown → | 1996 | 718 |
| 12 | A multiplicity of CCAAT box-binding proteins Hit paper breakdown → | 1987 | 706 |
| 13 | Individual intestinal symbionts induce a distinct population of RORγ + regulatory T cells Hit paper breakdown → | 2015 | 665 |
| 14 | Mast Cells: A Cellular Link Between Autoantibodies and Inflammatory Arthritis Hit paper breakdown → | 2002 | 624 |
| 15 | The AKT–mTOR axis regulates de novo differentiation of CD4+Foxp3+ cells Hit paper breakdown → | 2008 | 613 |
| 16 | Following a diabetogenic T cell from genesis through pathogenesis Hit paper breakdown → | 1993 | 599 |
| 17 | From Systemic T Cell Self-Reactivity to Organ-Specific Autoimmune Disease via Immunoglobulins Hit paper breakdown → | 1999 | 573 |
| 18 | Arthritis Critically Dependent on Innate Immune System Players Hit paper breakdown → | 2002 | 567 |
| 19 | Stability of the Regulatory T Cell Lineage in Vivo Hit paper breakdown → | 2010 | 560 |
| 20 | Mining the Human Gut Microbiota for Immunomodulatory Organisms Hit paper breakdown → | 2017 | 535 |
About Diane Mathis
Diane Mathis is a scholar working on Immunology, Genetics, Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 383 papers that have together received 52.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (215 papers), Immune Cell Function and Interaction (209 papers), Diabetes and associated disorders (84 papers), Immunotherapy and Immune Responses (80 papers), Pancreatic function and diabetes (36 papers), Monoclonal and Polyclonal Antibodies Research (33 papers), IL-33, ST2, and ILC Pathways (21 papers) and Diabetes Management and Research (21 papers). The work is most often cited by research in Immunology (31.1k citations), Genetics (9.5k citations), Endocrinology, Diabetes and Metabolism (4.1k citations), Immunology and Allergy (1.4k citations) and Biological Psychiatry (529 citations). Diane Mathis has collaborated with scholars based in United States, France and Japan. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, Immunity, Cell and European Journal of 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.