Maxime Culot

67 total papers · 3.1k total citations
40 papers, 2.2k citations indexed

About

Maxime Culot is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Maxime Culot has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Neurology and 14 papers in Oncology. Recurrent topics in Maxime Culot's work include Barrier Structure and Function Studies (18 papers), Drug Transport and Resistance Mechanisms (14 papers) and Neuroscience and Neuropharmacology Research (7 papers). Maxime Culot is often cited by papers focused on Barrier Structure and Function Studies (18 papers), Drug Transport and Resistance Mechanisms (14 papers) and Neuroscience and Neuropharmacology Research (7 papers). Maxime Culot collaborates with scholars based in France, Switzerland and Sweden. Maxime Culot's co-authors include Roméo Cecchelli, Marie‐Pierre Dehouck, Stefan Lundquist, Vincent Bérézowski, Laurence Fénart, Mila Renftel, Fabien Gosselet, Elke Decrock, Luc Leybaert and Marijke De Bock and has published in prestigious journals such as PLoS ONE, Nature Reviews Drug Discovery and Brain Research.

In The Last Decade

Maxime Culot

37 papers receiving 2.2k citations

Hit Papers

Modelling of the blood–br... 2007 2026 2013 2019 2007 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
Maxime Culot 968 736 471 289 275 40 2.2k
Fruzsina R. Walter 506 0.5× 649 0.9× 349 0.7× 221 0.8× 249 0.9× 57 1.9k
Vincent Bérézowski 882 0.9× 800 1.1× 514 1.1× 243 0.8× 238 0.9× 49 2.4k
Shinsuke Nakagawa 837 0.9× 1.5k 2.1× 561 1.2× 304 1.1× 348 1.3× 44 2.8k
Emmanuel Sevin 533 0.6× 478 0.6× 359 0.8× 342 1.2× 143 0.5× 30 1.6k
Szilvia Veszelka 683 0.7× 829 1.1× 447 0.9× 281 1.0× 259 0.9× 57 2.5k
Syed Shadab Raza 1.0k 1.1× 417 0.6× 185 0.4× 333 1.2× 259 0.9× 78 2.8k
K. Witt 740 0.8× 890 1.2× 208 0.4× 246 0.9× 308 1.1× 44 1.9k
Fanchon Bourasset 401 0.4× 259 0.4× 642 1.4× 332 1.1× 172 0.6× 32 1.6k
Susana Cardoso 1.2k 1.2× 300 0.4× 276 0.6× 921 3.2× 272 1.0× 48 3.0k
Raluca Ioana Teleanu 796 0.8× 245 0.3× 116 0.2× 347 1.2× 212 0.8× 39 2.2k

Countries citing papers authored by Maxime Culot

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Culot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Culot

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