Diane Mathis
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Mast cells and histamine
- Immunology and Allergy top 5%
Papers in
-
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 2
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Christophe Benoıst (12 shared papers)Andrée Dierich (2 shared papers)Christophe Benoist (2 shared papers)Marianne LeMeur (2 shared papers)David W. Gray (1 shared paper)Dominic Cosgrove (1 shared paper)Jim Kaufman (1 shared paper)Ulrich Pessara (2 shared papers)
- Journals
- The EMBO Journal (3 papers)The Journal of Immunology (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Behavioral Neuroscience (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Diane Mathis
18 papers receiving 2.5k citations
Diane Mathis's Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 1.7k
- Immunology and Allergy 114
- Genetics 371
- Molecular Biology 753
- Oncology 256
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
| # | Work | ||
|---|---|---|---|
| 1 | Mice lacking MHC class II molecules Hit paper breakdown → | 1991 | 790 |
| 2 | 1996 | 305 | |
| 3 | 1994 | 220 | |
| 4 | 1987 | 196 | |
| 5 | 1992 | 187 | |
| 6 | 2008 | 176 | |
| 7 | 1985 | 155 | |
| 8 | 2010 | 110 | |
| 9 | 1998 | 85 | |
| 10 | 2007 | 84 | |
| 11 | 1986 | 56 | |
| 12 | 1986 | 55 | |
| 13 | 1994 | 46 | |
| 14 | 1985 | 45 | |
| 15 | 1985 | 34 | |
| 16 | 1986 | 25 | |
| 17 | 1983 | 13 | |
| 18 | 1986 | 11 |
About Diane Mathis
Diane Mathis is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology and Behavioral Neuroscience, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (6 papers), Animal Genetics and Reproduction (3 papers), Virus-based gene therapy research (3 papers), RNA and protein synthesis mechanisms (3 papers), Stress Responses and Cortisol (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (1.7k citations), Immunology and Allergy (114 citations), Genetics (371 citations), Molecular Biology (753 citations) and Oncology (256 citations). Diane Mathis has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Christophe Benoıst, Andrée Dierich, Christophe Benoist, Marianne LeMeur, David W. Gray, Dominic Cosgrove, Jim Kaufman, Ulrich Pessara, Caroline Waltzinger and P Gerlinger. Their work appears in journals such as The EMBO Journal, The Journal of Immunology, Cell, Proceedings of the National Academy of Sciences and Behavioral Neuroscience.
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.