Pierre Matricon

24 total papers · 796 total citations
14 papers, 387 citations indexed

About

Pierre Matricon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Pierre Matricon has authored 14 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Computational Theory and Mathematics. Recurrent topics in Pierre Matricon's work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (6 papers) and Chemical Synthesis and Analysis (3 papers). Pierre Matricon is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (6 papers) and Chemical Synthesis and Analysis (3 papers). Pierre Matricon collaborates with scholars based in Sweden, United States and Germany. Pierre Matricon's co-authors include Jens Carlsson, Kenneth A. Jacobson, Zhan‐Guo Gao, Matthew T. Eddy, Lucie Delemotte, Gunnar Schulte, Nicolas Panel, Shane C. Wright, David Rodríguez and Julian Petersen and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Biochemistry.

In The Last Decade

Pierre Matricon

14 papers receiving 384 citations

Author Peers

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

Author Last Decade Papers Cites
Pierre Matricon 307 97 64 59 35 14 387
Haibei Hu 323 1.1× 76 0.8× 31 0.5× 42 0.7× 14 0.4× 9 417
Fiona M. McRobb 321 1.0× 100 1.0× 139 2.2× 31 0.5× 21 0.6× 15 437
Joëlle Goulding 318 1.0× 134 1.4× 23 0.4× 31 0.5× 23 0.7× 18 379
Henrik Keränen 311 1.0× 42 0.4× 107 1.7× 40 0.7× 21 0.6× 10 417
Birendra Pramanik 237 0.8× 48 0.5× 31 0.5× 117 2.0× 67 1.9× 9 439
Ming-Yue Lee 345 1.1× 134 1.4× 20 0.3× 60 1.0× 46 1.3× 12 415
Noureldin Saleh 301 1.0× 108 1.1× 62 1.0× 19 0.3× 46 1.3× 20 375
Giuseppina La Sala 248 0.8× 34 0.4× 47 0.7× 25 0.4× 12 0.3× 15 348
Dietmar Weichert 285 0.9× 110 1.1× 37 0.6× 13 0.2× 20 0.6× 16 349
Wenzhong Yan 277 0.9× 93 1.0× 39 0.6× 29 0.5× 13 0.4× 19 430

Countries citing papers authored by Pierre Matricon

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Matricon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Matricon

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