Pierre‐Olivier Couraud

15.2k citations
173 papers · 12.2k indexed · 3 hit papers · h-index 61

Pierre‐Olivier Couraud

173 papers receiving 12.0k citations

Hit Papers

The hCMEC/D3 cell line as a model of the human blood ...56320052026201220192505007501000

Peers

Pierre‐Olivier Couraud
Comparison fields: 5 of 138
  • Neurology 3.7k
  • Immunology and Allergy 1.0k
  • Oncology 2.4k
  • Immunology 1.7k
  • Developmental Neuroscience 311
Replace Ignacio A. Romero with:
Ignacio A. Romero United Kingdom
Helga E. de Vries Netherlands
Alexandre Prat Canada
Danica Stanimirovic Canada
Daniel C. Anthony United Kingdom
Nigel M. Hooper United Kingdom
David R. Hinton United States
Roméo Cecchelli France
Frank Baas Netherlands
David Male United Kingdom
Pierre‐Olivier Couraud relative to Ignacio A. Romero United Kingdom Ignacio A. Romero's profile →
Citations per field
00.5×3.4×
Ignacio A. Romero · 1×
Citations per year

Countries citing papers authored by Pierre‐Olivier Couraud

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐Olivier Couraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐Olivier Couraud. 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 Pierre‐Olivier Couraud. The network helps show where Pierre‐Olivier Couraud may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Pierre‐Olivier Couraud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pierre‐Olivier Couraud Line = papers co-authored together Pierre‐Olivier Couraud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202225
2 202113
3 201717
4 201542
5 201457
6 201439
7 201326
8
The hCMEC/D3 cell line as a model of the human blood brain barrierbreakdown →
2013563
9 20135
10 201285
11 201210
12 201241
13 200859
14 200776
15 200767
16 2003115
17 20036
18 2000254
19 19967
20 19897

About Pierre‐Olivier Couraud

Pierre‐Olivier Couraud is a scholar working on Neurology, Immunology and Allergy and Oncology, having authored 173 papers that have together received 12.2k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (49 papers), Drug Transport and Resistance Mechanisms (29 papers), Cell Adhesion Molecules Research (28 papers), Receptor Mechanisms and Signaling (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (15 papers), S100 Proteins and Annexins (12 papers), Neurological Disease Mechanisms and Treatments (10 papers) and Nanoparticle-Based Drug Delivery (9 papers). The work is most often cited by research in Neurology (3.7k citations), Immunology and Allergy (1.0k citations) and Oncology (2.4k citations). Pierre‐Olivier Couraud has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Ignacio A. Romero, Babette B. Weksler, John Greenwood, Babette Weksler, Peter Adamson, Sandrine Etienne‐Manneville, Sylvie Cazaubon, Sandrine Bourdoulous, Fabienne Glacial and Anny‐Claude Luissint. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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