Diane Mathis
- Immunology top 0.01%
- T-cell and B-cell Immunology 215
- Immune Cell Function and Interaction 211
- Immunotherapy and Immune Responses 84
- IL-33, ST2, and ILC Pathways 21
- Genetics top 0.02%
- Diabetes and associated disorders 84
- Immunology and Allergy top 0.2%
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- Diabetes Management and Research 22
- Biological Psychiatry top 0.5%
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- Pancreatic function and diabetes 36
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- Monoclonal and Polyclonal Antibodies Research 35
- Co-authors
- Christophe BenoıstMarkus FeuererSteven E. ShoelsonJonathan D. KatzJonathan A. HillDaniela CipollettaAndrée DierichEsen Sefik
- Journals
- Proceedings of the National Academy of Sciences (84 papers)The Journal of Experimental Medicine (34 papers)Immunity (29 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Diane Mathis
381 papers receiving 50.7k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Immunology 32.5k
- Genetics 10.0k
- Immunology and Allergy 1.6k
- Endocrinology, Diabetes and Metabolism 4.4k
- Biological Psychiatry 556
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 16 | |
| 2 | 2017 | 48 | |
| 3 | Identifying species of symbiont bacteria from the human gut that, alone, can induce intestinal Th17 cells in micebreakdown → | 2016 | 324 |
| 4 | Individual intestinal symbionts induce a distinct population of RORγ + regulatory T cellsbreakdown → | 2015 | 647 |
| 5 | 2015 | 320 | |
| 6 | 2015 | 69 | |
| 7 | 2014 | 154 | |
| 8 | 2012 | 97 | |
| 9 | 2011 | 123 | |
| 10 | 2011 | 34 | |
| 11 | 2010 | 43 | |
| 12 | 2010 | 122 | |
| 13 | 2008 | 142 | |
| 14 | The AKT–mTOR axis regulates de novo differentiation of CD4+Foxp3+ cellsbreakdown → | 2008 | 608 |
| 15 | 2007 | 83 | |
| 16 | 2007 | 74 | |
| 17 | 2007 | 63 | |
| 18 | 2007 | 63 | |
| 19 | 2004 | 134 | |
| 20 | Mast Cells: A Cellular Link Between Autoantibodies and Inflammatory Arthritisbreakdown → | 2002 | 624 |
About Diane Mathis
Diane Mathis is a scholar working on Immunology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 382 papers that have together received 51.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (215 papers), Immune Cell Function and Interaction (211 papers), Diabetes and associated disorders (84 papers), Immunotherapy and Immune Responses (84 papers), Pancreatic function and diabetes (36 papers), Monoclonal and Polyclonal Antibodies Research (35 papers), Diabetes Management and Research (22 papers) and IL-33, ST2, and ILC Pathways (21 papers). The work is most often cited by research in Immunology (32.5k citations), Genetics (10.0k citations) and Immunology and Allergy (1.6k 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 Science.
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.