Jean‐Luc Dreyer

48 total papers · 2.3k total citations
42 papers, 1.6k citations indexed

About

Jean‐Luc Dreyer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Jean‐Luc Dreyer has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 10 papers in Developmental Neuroscience. Recurrent topics in Jean‐Luc Dreyer's work include Neurotransmitter Receptor Influence on Behavior (20 papers), Nerve injury and regeneration (16 papers) and Neurogenesis and neuroplasticity mechanisms (10 papers). Jean‐Luc Dreyer is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (20 papers), Nerve injury and regeneration (16 papers) and Neurogenesis and neuroplasticity mechanisms (10 papers). Jean‐Luc Dreyer collaborates with scholars based in Switzerland, United Arab Emirates and United States. Jean‐Luc Dreyer's co-authors include Amine Bahí, Vijay Chandrasekar, Frédéric Boyer, Tal Kafri, Isabel Espadas, Agnès Gruart, Oskar Ortiz, Rosario Moratalla, Ramón Trullás and José M. Delgado‐García and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurochemistry and Neuropsychopharmacology.

In The Last Decade

Jean‐Luc Dreyer

41 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Jean‐Luc Dreyer 809 749 411 231 214 42 1.6k
Debabrata Panja 724 0.9× 699 0.9× 194 0.5× 211 0.9× 260 1.2× 22 1.5k
Heh‐In Im 507 0.6× 1.1k 1.5× 643 1.6× 196 0.8× 174 0.8× 40 1.9k
Úrsula Wyneken 602 0.7× 942 1.3× 375 0.9× 237 1.0× 218 1.0× 58 1.9k
Piotr Michaluk 666 0.8× 860 1.1× 582 1.4× 157 0.7× 159 0.7× 27 1.7k
Karin Wibrand 637 0.8× 695 0.9× 226 0.5× 198 0.9× 237 1.1× 22 1.4k
Jan Rodriguez Parkitna 968 1.2× 857 1.1× 198 0.5× 98 0.4× 313 1.5× 48 1.7k
Adrian Tiron 791 1.0× 620 0.8× 168 0.4× 217 0.9× 288 1.3× 25 1.4k
Alessandro Barbon 664 0.8× 838 1.1× 148 0.4× 128 0.6× 121 0.6× 71 1.6k
Dale A. Fortin 1.0k 1.3× 1.1k 1.5× 487 1.2× 348 1.5× 257 1.2× 25 2.0k
Lavinia Albéri 632 0.8× 994 1.3× 168 0.4× 384 1.7× 159 0.7× 47 2.0k

Countries citing papers authored by Jean‐Luc Dreyer

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Luc Dreyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Luc Dreyer. 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 Jean‐Luc Dreyer. The network helps show where Jean‐Luc Dreyer may publish in the future.

Co-authorship network of co-authors of Jean‐Luc Dreyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Luc Dreyer. A scholar is included among the top collaborators of Jean‐Luc Dreyer 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 Jean‐Luc Dreyer. Jean‐Luc Dreyer 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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