Maxime Culot
Impact in
Papers in
- Co-authors
- Roméo Cecchelli (24 shared papers)Marie‐Pierre Dehouck (7 shared papers)Stefan Lundquist (6 shared papers)Vincent Bérézowski (5 shared papers)Laurence Fénart (4 shared papers)Mila Renftel (3 shared papers)Fabien Gosselet (19 shared papers)Luc Leybaert (5 shared papers)
- Journals
- Toxicology in Vitro (10 papers)Pharmaceutics (3 papers)International Journal of Molecular Sciences (3 papers)Planta Medica (2 papers)Fluids and Barriers of the CNS (2 papers)
- Partner nations
- FranceSwitzerlandBelgium
In The Last Decade
Maxime Culot
44 papers receiving 2.4k citations
Maxime Culot's Hit Papers
Peers
Comparison fields: 5 of 114
- Neurology 785
- Oncology 480
- Pharmaceutical Science 99
- Developmental Neuroscience 61
- Cellular and Molecular Neuroscience 283
Countries citing papers authored by Maxime Culot
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
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-authors
The 25 scholars most cited alongside Maxime Culot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modelling of the blood–brain barrier in drug discovery and development Hit paper breakdown → | 2007 | 526 |
| 2 | 2014 | 272 | |
| 3 | 2009 | 190 | |
| 4 | 2013 | 152 | |
| 5 | 2011 | 129 | |
| 6 | 2008 | 121 | |
| 7 | 2021 | 95 | |
| 8 | 2014 | 79 | |
| 9 | 2013 | 72 | |
| 10 | 2015 | 68 | |
| 11 | 2020 | 61 | |
| 12 | 2021 | 59 | |
| 13 | 2017 | 54 | |
| 14 | 2009 | 50 | |
| 15 | 2012 | 47 | |
| 16 | 2020 | 44 | |
| 17 | 2018 | 42 | |
| 18 | 2016 | 39 | |
| 19 | 2008 | 31 | |
| 20 | 2013 | 29 |
About Maxime Culot
Maxime Culot is a scholar working on Neurology, Oncology, Cellular and Molecular Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (20 papers), Drug Transport and Resistance Mechanisms (16 papers), Neuroscience and Neuropharmacology Research (8 papers), Pharmacological Effects and Toxicity Studies (5 papers), Connexins and lens biology (5 papers), Ginger and Zingiberaceae research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Neurology (785 citations), Oncology (480 citations), Pharmaceutical Science (99 citations), Developmental Neuroscience (61 citations) and Cellular and Molecular Neuroscience (283 citations). Maxime Culot has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Roméo Cecchelli, Marie‐Pierre Dehouck, Stefan Lundquist, Vincent Bérézowski, Laurence Fénart, Mila Renftel, Fabien Gosselet, Luc Leybaert, Elke Decrock and Marijke De Bock. Their work appears in journals such as Toxicology in Vitro, Pharmaceutics, International Journal of Molecular Sciences, Planta Medica and Fluids and Barriers of the CNS.
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.