Fabrice Plaisier

8 papers and 374 indexed citations i.

About

Fabrice Plaisier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Fabrice Plaisier has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Fabrice Plaisier’s work include Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural dynamics and brain function (2 papers). Fabrice Plaisier is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural dynamics and brain function (2 papers). Fabrice Plaisier collaborates with scholars based in France, Canada and Slovakia. Fabrice Plaisier's co-authors include Bruno Cauli, Clotilde Lecrux, Mike Ludwig, Xavier Toussay, Édith Hamel, Rafael Pineda, Robert P. Millar, Ara Kocharyan, Maxime Lévesque and Sujaya Neupane and has published in prestigious journals such as Journal of Neuroscience, Analytical Biochemistry and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Fabrice Plaisier i

Fields of papers citing papers by Fabrice Plaisier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabrice Plaisier

Since Specialization
Citations

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

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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