Diana Matheoud

18 total papers · 1.7k total citations
12 papers, 1.3k citations indexed

About

Diana Matheoud is a scholar working on Immunology, Neurology and Neurology. According to data from OpenAlex, Diana Matheoud has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Neurology and 5 papers in Neurology. Recurrent topics in Diana Matheoud's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Immune Cell Function and Interaction (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Diana Matheoud is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Immune Cell Function and Interaction (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Diana Matheoud collaborates with scholars based in Canada, United States and France. Diana Matheoud's co-authors include Michel Desjardins, Louis‐Éric Trudeau, Heidi M. McBride, Annie Laplante, Angélique Bellemare‐Pelletier, Étienne Gagnon, Ayumu Sugiura, John Bergeron, Yan Burelle and Magali Chemali and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Diana Matheoud

11 papers receiving 1.3k citations

Hit Papers

Parkinson’s Disease-Relat... 2016 2026 2019 2022 2016 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diana Matheoud 513 412 366 358 196 12 1.3k
Fiona M. Menzies 765 1.5× 273 0.7× 549 1.5× 261 0.7× 177 0.9× 25 1.8k
Jenny Ghelfi 984 1.9× 641 1.6× 158 0.4× 240 0.7× 262 1.3× 16 1.8k
Nathalie Davoust 435 0.8× 707 1.7× 162 0.4× 161 0.4× 466 2.4× 28 1.6k
M C Graves 302 0.6× 148 0.4× 268 0.7× 180 0.5× 247 1.3× 26 1.1k
Takeshi Fukuhara 608 1.2× 519 1.3× 135 0.4× 119 0.3× 209 1.1× 26 1.5k
Huiping Dong 277 0.5× 373 0.9× 174 0.5× 193 0.5× 92 0.5× 13 1.3k
Geoffrey T. Norris 500 1.0× 401 1.0× 167 0.5× 87 0.2× 505 2.6× 12 1.4k
Marius Schwabenland 387 0.8× 453 1.1× 270 0.7× 98 0.3× 424 2.2× 19 1.3k
Jelena Korać-Prlić 674 1.3× 229 0.6× 255 0.7× 883 2.5× 79 0.4× 15 1.5k
Susanne V. Schmidt 725 1.4× 928 2.3× 116 0.3× 249 0.7× 280 1.4× 29 1.8k

Countries citing papers authored by Diana Matheoud

Since Specialization
Citations

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

Fields of papers citing papers by Diana Matheoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Matheoud

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Matheoud. A scholar is included among the top collaborators of Diana Matheoud 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 Diana Matheoud. Diana Matheoud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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