Matthieu Béreau

100 total papers · 1.3k total citations
36 papers, 478 citations indexed

About

Matthieu Béreau is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Matthieu Béreau has authored 36 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Matthieu Béreau's work include Parkinson's Disease Mechanisms and Treatments (17 papers), Neurological disorders and treatments (14 papers) and Botulinum Toxin and Related Neurological Disorders (6 papers). Matthieu Béreau is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (17 papers), Neurological disorders and treatments (14 papers) and Botulinum Toxin and Related Neurological Disorders (6 papers). Matthieu Béreau collaborates with scholars based in France, Switzerland and United States. Matthieu Béreau's co-authors include Éric Toussirot, Bastiaan R. Bloem, Jorik Nonnekes, Éloi Magnin, Paul Krack, Vanessa Fleury, Mathieu Anheim, Laurent Tatu, Philippe Saas and Walid Bouthour and has published in prestigious journals such as SHILAP Revista de lepidopterología, Movement Disorders and Frontiers in Physiology.

In The Last Decade

Matthieu Béreau

30 papers receiving 466 citations

Author Peers

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

Author Last Decade Papers Cites
Matthieu Béreau 229 83 64 57 49 36 478
Graeme Hammond-Tooke 174 0.8× 106 1.3× 63 1.0× 72 1.3× 26 0.5× 33 552
Wally Knezevic 173 0.8× 77 0.9× 36 0.6× 67 1.2× 41 0.8× 23 518
Ioannis G. Panourias 230 1.0× 78 0.9× 54 0.8× 36 0.6× 16 0.3× 32 420
Keita Matsuura 310 1.4× 103 1.2× 35 0.5× 66 1.2× 17 0.3× 44 529
Masataka Hayashi 94 0.4× 62 0.7× 31 0.5× 36 0.6× 42 0.9× 42 547
Fayun Hu 192 0.8× 37 0.4× 59 0.9× 47 0.8× 57 1.2× 40 467
Gençer Genç 176 0.8× 58 0.7× 45 0.7× 62 1.1× 14 0.3× 48 413
Amaia Muñoz‐Lopetegi 389 1.7× 100 1.2× 54 0.8× 55 1.0× 17 0.3× 32 503
G.F. Sau 183 0.8× 63 0.8× 81 1.3× 49 0.9× 66 1.3× 28 491
Nahid Ashjazadeh 156 0.7× 38 0.5× 30 0.5× 146 2.6× 54 1.1× 48 499

Countries citing papers authored by Matthieu Béreau

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Béreau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Béreau

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

All Works

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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.

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