François Laplante

29 total papers · 846 total citations
22 papers, 694 citations indexed

About

François Laplante is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, François Laplante has authored 22 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in François Laplante's work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (7 papers) and Stress Responses and Cortisol (5 papers). François Laplante is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (7 papers) and Stress Responses and Cortisol (5 papers). François Laplante collaborates with scholars based in Canada, United States and United Kingdom. François Laplante's co-authors include Rémi Quirion, Frédéric Manseau, Sylvain Williams, Marc Danik, Florence Sotty, Ron M. Sullivan, Lalit K. Srivastava, Elvire Vaucher, David R. Sibley and Marc M. Dufresne and has published in prestigious journals such as The Journal of Physiology, Neuroscience and Journal of Neurochemistry.

In The Last Decade

François Laplante

21 papers receiving 675 citations

Author Peers

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

Author Last Decade Papers Cites
François Laplante 476 293 236 61 48 22 694
Mervi Pitkänen 358 0.8× 137 0.5× 103 0.4× 23 0.4× 83 1.7× 18 636
Janelle M. Silvers 305 0.6× 164 0.6× 102 0.4× 95 1.6× 12 0.3× 15 592
Cynthia L. Coulter 200 0.4× 58 0.2× 135 0.6× 34 0.6× 28 0.6× 12 563
Mohitkumar R. Gangwani 362 0.8× 97 0.3× 202 0.9× 14 0.2× 38 0.8× 13 748
Peter K. Thanos 378 0.8× 242 0.8× 153 0.6× 19 0.3× 8 0.2× 18 767
Stephanie G. Ijames 460 1.0× 173 0.6× 244 1.0× 41 0.7× 7 0.1× 15 649
C. Thetford Smothers 452 0.9× 113 0.4× 310 1.3× 15 0.2× 7 0.1× 24 669
Michelle M. Jacobs 164 0.3× 177 0.6× 393 1.7× 7 0.1× 17 0.4× 19 755
Christina L. Nemeth 182 0.4× 38 0.1× 280 1.2× 88 1.4× 12 0.3× 33 625
M. P. Grassi 208 0.4× 213 0.7× 75 0.3× 5 0.1× 53 1.1× 22 793

Countries citing papers authored by François Laplante

Since Specialization
Citations

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

Fields of papers citing papers by François Laplante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Laplante

This figure shows the co-authorship network connecting the top 25 collaborators of François Laplante. A scholar is included among the top collaborators of François Laplante 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 François Laplante. François Laplante 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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