Louis-Philippe Picard

20 total papers · 470 total citations
12 papers, 322 citations indexed

About

Louis-Philippe Picard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Louis-Philippe Picard has authored 12 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Louis-Philippe Picard's work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Louis-Philippe Picard is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Louis-Philippe Picard collaborates with scholars based in Canada, United States and Japan. Louis-Philippe Picard's co-authors include Michel Bouvier, R. Scott Prosser, Hiroyuki Kobayashi, Martin J. Lohse, Adnan Sljoka, Shuya Kate Huang, Aditya Pandey, Christian Le Gouill, Angela D. Wilkins and Wayne Stallaert and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and Nature Protocols.

In The Last Decade

Louis-Philippe Picard

12 papers receiving 319 citations

Author Peers

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

Author Last Decade Papers Cites
Louis-Philippe Picard 263 102 42 39 37 12 322
Martin Rüdiger 210 0.8× 144 1.4× 29 0.7× 36 0.9× 34 0.9× 14 316
You Zhuo 235 0.9× 76 0.7× 25 0.6× 28 0.7× 32 0.9× 18 335
Natalie Syrett 272 1.0× 179 1.8× 31 0.7× 41 1.1× 13 0.4× 8 326
Santa Veikšina 233 0.9× 73 0.7× 39 0.9× 18 0.5× 12 0.3× 24 334
Luca F. Pisterzi 223 0.8× 136 1.3× 28 0.7× 35 0.9× 10 0.3× 18 345
Elaine J. Adie 244 0.9× 140 1.4× 19 0.5× 57 1.5× 23 0.6× 13 363
Alice Zhang 252 1.0× 85 0.8× 47 1.1× 32 0.8× 12 0.3× 12 298
John Frazer 237 0.9× 99 1.0× 39 0.9× 13 0.3× 14 0.4× 15 359
Ng Lydia 215 0.8× 152 1.5× 21 0.5× 27 0.7× 10 0.3× 11 260
Sébastien Blanc 190 0.7× 78 0.8× 24 0.6× 8 0.2× 67 1.8× 7 362

Countries citing papers authored by Louis-Philippe Picard

Since Specialization
Citations

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

Fields of papers citing papers by Louis-Philippe Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Louis-Philippe Picard. 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 Louis-Philippe Picard. The network helps show where Louis-Philippe Picard may publish in the future.

Co-authorship network of co-authors of Louis-Philippe Picard

This figure shows the co-authorship network connecting the top 25 collaborators of Louis-Philippe Picard. A scholar is included among the top collaborators of Louis-Philippe Picard 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 Louis-Philippe Picard. Louis-Philippe Picard 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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