Diane Mathis

2.8k citations
18 papers · 2.5k indexed · 1 hit paper · h-index 16
Topics
T-cell and B-cell Immunology (6 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)Immune Cell Function and Interaction (6 papers)

In The Last Decade

Diane Mathis

18 papers receiving 2.5k citations

Hit Papers

Mice lacking MHC class II molecules19912026200220141991250500750

Peers

Diane Mathis
Comparison fields: 5 of 93
  • Immunology 1.7k
  • Molecular Biology 746
  • Genetics 361
  • Oncology 262
  • Radiology, Nuclear Medicine and Imaging 153
Replace Eugenia Spanopoulou with:
Eugenia Spanopoulou United States
Mark Bix United States
Yoshihiko Tanaka Japan
Seiichi Mizushima Japan
L Hood United States
Christine A. Kozak United States
Sarah Booth United Kingdom
Niels C. Adams United States
Laura Carramolino Spain
Isao Ishida Japan
Diane Mathis relative to Eugenia Spanopoulou United States Eugenia Spanopoulou's profile →
Citations per field
00.5×1.5×1.8×
Eugenia Spanopoulou · 1×
Citations per year

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

18 of 18 papers shown
#WorkIndexed citations
1 103
2 171
3 81
4 84
5 300
6 45
7 218
8 184
9
Mice lacking MHC class II moleculesbreakdown →
768
10 190
11 11
12 53
13 54
14 23
15 40
16 144
17 30
18 13

About Diane Mathis

Diane Mathis is a scholar working on Behavioral Neuroscience, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (1.7k citations), Immunology and Allergy (127 citations) and Genetics (361 citations). Diane Mathis has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Christophe Benoıst, Christophe Benoist, Andrée Dierich, Marianne LeMeur, Jim Kaufman, Dominic Cosgrove, David W. Gray, Ulrich Pessara, Caroline Waltzinger and P Gerlinger. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026