Maxime Feyeux

28 total papers · 1.0k total citations
13 papers, 675 citations indexed

About

Maxime Feyeux is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maxime Feyeux has authored 13 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maxime Feyeux's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (4 papers) and 3D Printing in Biomedical Research (3 papers). Maxime Feyeux is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (4 papers) and 3D Printing in Biomedical Research (3 papers). Maxime Feyeux collaborates with scholars based in France, Switzerland and United Kingdom. Maxime Feyeux's co-authors include Pierre Nassoy, Kévin Alessandri, Marc Peschanski, Anselme L. Perrier, Nathalie Lefort, Annelise Bennaceur‐Griscelli, Olivier Féraud, Cécile Bas, Gérard Tachdjian and Laurent Cognet and has published in prestigious journals such as Journal of Clinical Investigation, Nature Biotechnology and PLoS ONE.

In The Last Decade

Maxime Feyeux

13 papers receiving 667 citations

Author Peers

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

Author Last Decade Papers Cites
Maxime Feyeux 402 246 136 78 56 13 675
Julia Rogal 258 0.6× 487 2.0× 127 0.9× 25 0.3× 75 1.3× 15 733
Andrée Rothermel 360 0.9× 292 1.2× 259 1.9× 23 0.3× 24 0.4× 27 662
Emily Jackson 361 0.9× 430 1.7× 111 0.8× 14 0.2× 31 0.6× 13 716
Kevin Achberger 377 0.9× 266 1.1× 171 1.3× 21 0.3× 21 0.4× 14 619
Jan Hendriks 167 0.4× 183 0.7× 189 1.4× 16 0.2× 67 1.2× 28 773
Alexander William Phillips 419 1.0× 265 1.1× 137 1.0× 15 0.2× 36 0.6× 6 592
Bao Kim Nguyen 463 1.2× 300 1.2× 79 0.6× 21 0.3× 26 0.5× 10 678
Edinson Lucumi Moreno 420 1.0× 364 1.5× 256 1.9× 29 0.4× 35 0.6× 8 719
Magdalena Sutcliffe 566 1.4× 248 1.0× 184 1.4× 31 0.4× 35 0.6× 7 785
Sergei Grebenyuk 323 0.8× 294 1.2× 307 2.3× 13 0.2× 27 0.5× 13 731

Countries citing papers authored by Maxime Feyeux

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Feyeux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Feyeux

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