Maxime Culot

3.2k total citations · 1 hit paper
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, Luc Leybaert, Marijke De Bock and Elke Decrock 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–brain barrier in drug discovery an... 2007 2026 2013 2019 2007 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maxime Culot France 23 971 741 473 286 277 40 2.2k
Vincent Bérézowski France 25 880 0.9× 804 1.1× 514 1.1× 244 0.9× 238 0.9× 49 2.5k
Fruzsina R. Walter Hungary 25 511 0.5× 658 0.9× 352 0.7× 221 0.8× 251 0.9× 58 1.9k
Emmanuel Sevin France 19 537 0.6× 482 0.7× 362 0.8× 344 1.2× 143 0.5× 30 1.6k
Stefan Lundquist Sweden 15 458 0.5× 566 0.8× 514 1.1× 126 0.4× 191 0.7× 19 1.5k
Zhiguo Li China 28 1.5k 1.5× 974 1.3× 267 0.6× 236 0.8× 139 0.5× 97 3.3k
Susana Cardoso Portugal 26 1.2k 1.2× 301 0.4× 275 0.6× 924 3.2× 274 1.0× 48 3.0k
Shannon Dallas United States 22 580 0.6× 370 0.5× 636 1.3× 219 0.8× 289 1.0× 32 2.0k
Renato X. Santos Portugal 28 1.4k 1.4× 369 0.5× 274 0.6× 1.2k 4.3× 368 1.3× 44 3.5k
Christian Duhem France 22 761 0.8× 192 0.3× 348 0.7× 588 2.1× 120 0.4× 28 2.1k
Ying Song China 33 1.7k 1.8× 321 0.4× 187 0.4× 201 0.7× 312 1.1× 125 3.3k

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

20 of 20 papers shown
1.
Cheung, Kenneth, Zhenping Chen, Julien Saint‐Pol, et al.. (2025). Metabolic profiles of the human blood-brain barrier cells treated by TNF-alpha and oxysterols. Biomedicine & Pharmacotherapy. 193. 118853–118853.
3.
Culot, Maxime, et al.. (2023). Challenges and Opportunities in the Oral Delivery of Recombinant Biologics. Pharmaceutics. 15(5). 1415–1415. 8 indexed citations
4.
Fredriksson, Robert, Fabien Gosselet, Maxime Culot, et al.. (2023). Differential Blood–Brain Barrier Transport and Cell Uptake of Cyclic Peptides In Vivo and In Vitro. Pharmaceutics. 15(5). 1507–1507. 7 indexed citations
5.
Gosselet, Fabien, et al.. (2022). Challenges and opportunities in the use of transcriptomic characterization of human iPSC-derived BBB models. Toxicology in Vitro. 84. 105424–105424.
6.
7.
Figueiredo, Ricardo, Lucie Dehouck, David Miguel Ferreira Francisco, et al.. (2020). Contribution of brain pericytes in blood–brain barrier formation and maintenance: a transcriptomic study of cocultured human endothelial cells derived from hematopoietic stem cells. Fluids and Barriers of the CNS. 17(1). 48–48. 42 indexed citations
8.
Sevin, Emmanuel, et al.. (2018). Mimicking brain tissue binding in an in vitro model of the blood-brain barrier illustrates differences between in vitro and in vivo methods for assessing the rate of brain penetration. European Journal of Pharmaceutics and Biopharmaceutics. 127. 453–461. 42 indexed citations
9.
Eigenmann, Daniela Elisabeth, Martin Smieško, Maxime Culot, et al.. (2016). In vitro blood–brain barrier permeability predictions for GABAA receptor modulating piperine analogs. European Journal of Pharmaceutics and Biopharmaceutics. 103. 118–126. 36 indexed citations
10.
Bellwon, Patricia, Maxime Culot, Anja Wilmes, et al.. (2015). Cyclosporine A kinetics in brain cell cultures and its potential of crossing the blood–brain barrier. Toxicology in Vitro. 30(1). 166–175. 19 indexed citations
11.
Cecchelli, Roméo, Sezin Aday, Emmanuel Sevin, et al.. (2014). A Stable and Reproducible Human Blood-Brain Barrier Model Derived from Hematopoietic Stem Cells. PLoS ONE. 9(6). e99733–e99733. 251 indexed citations
12.
Bock, Marijke De, Roosmarijn E. Vandenbroucke, Elke Decrock, et al.. (2014). A new angle on blood–CNS interfaces: A role for connexins?. FEBS Letters. 588(8). 1259–1270. 71 indexed citations
13.
Sevin, Emmanuel, Lucie Dehouck, Roméo Cecchelli, et al.. (2013). Accelerated Caco-2 cell permeability model for drug discovery. Journal of Pharmacological and Toxicological Methods. 68(3). 334–339. 65 indexed citations
14.
Bock, Marijke De, Nan Wang, Elke Decrock, et al.. (2013). Endothelial calcium dynamics, connexin channels and blood–brain barrier function. Progress in Neurobiology. 108. 1–20. 145 indexed citations
15.
Culot, Maxime, et al.. (2013). A Simple Method for Assessing Free Brain/Free Plasma Ratios Using an In Vitro Model of the Blood Brain Barrier. PLoS ONE. 8(12). e80634–e80634. 28 indexed citations
16.
Hachani, Johan, et al.. (2013). In vitro blood–brain barrier model adapted to repeated-dose toxicological screening. Toxicology in Vitro. 27(6). 1944–1953. 18 indexed citations
17.
Vuyst, Elke De, Nan Wang, Elke Decrock, et al.. (2009). Ca2+ regulation of connexin 43 hemichannels in C6 glioma and glial cells. Cell Calcium. 46(3). 176–187. 181 indexed citations
18.
Culot, Maxime, Caroline Mysiorek, Mila Renftel, et al.. (2009). Cerebrovascular protection as a possible mechanism for the protective effects of NXY-059 in preclinical models: An in vitro study. Brain Research. 1294. 144–152. 22 indexed citations
20.
Cecchelli, Roméo, Vincent Bérézowski, Stefan Lundquist, et al.. (2007). Modelling of the blood–brain barrier in drug discovery and development. Nature Reviews Drug Discovery. 6(8). 650–661. 486 indexed citations breakdown →

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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