Béatrice Matot

28 total papers · 733 total citations
11 papers, 274 citations indexed

About

Béatrice Matot is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Béatrice Matot has authored 11 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 2 papers in Surgery. Recurrent topics in Béatrice Matot's work include Muscle Physiology and Disorders (5 papers), Nutrition and Health in Aging (3 papers) and DNA Repair Mechanisms (2 papers). Béatrice Matot is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Nutrition and Health in Aging (3 papers) and DNA Repair Mechanisms (2 papers). Béatrice Matot collaborates with scholars based in France, Brazil and Italy. Béatrice Matot's co-authors include Pierre G. Carlier, David Briand, Fabrice Chrétien, Grégory Jouvion, Aude Lafoux, Pierre Rocheteau, Miryam Mebarki, Clément Crochemore, Nicola Latronico and Miria Ricchetti and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Béatrice Matot

11 papers receiving 273 citations

Author Peers

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

Author Last Decade Papers Cites
Béatrice Matot 152 65 56 48 32 11 274
Rongrui Tang 97 0.6× 18 0.3× 41 0.7× 73 1.5× 17 0.5× 10 331
Basel M. Touban 112 0.7× 25 0.4× 36 0.6× 66 1.4× 11 0.3× 12 320
Jordan C. Langston 101 0.7× 19 0.3× 14 0.3× 57 1.2× 29 0.9× 12 286
Samy Selim 124 0.8× 33 0.5× 22 0.4× 15 0.3× 8 0.3× 14 236
Fang-Xia Guan 87 0.6× 39 0.6× 10 0.2× 54 1.1× 39 1.2× 10 303
Weiyang Ying 119 0.8× 12 0.2× 15 0.3× 33 0.7× 31 1.0× 15 328
Ángela Sánchez-Guerrero 99 0.7× 47 0.7× 11 0.2× 78 1.6× 13 0.4× 11 283
Xumao Tang 135 0.9× 34 0.5× 17 0.3× 53 1.1× 9 0.3× 12 263
Zoya Serebrovska 66 0.4× 48 0.7× 30 0.5× 20 0.4× 20 0.6× 16 323
Dora Pedroso 76 0.5× 52 0.8× 9 0.2× 25 0.5× 19 0.6× 12 255

Countries citing papers authored by Béatrice Matot

Since Specialization
Citations

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

Fields of papers citing papers by Béatrice Matot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béatrice Matot

This figure shows the co-authorship network connecting the top 25 collaborators of Béatrice Matot. A scholar is included among the top collaborators of Béatrice Matot 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 Béatrice Matot. Béatrice Matot 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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