Pierre Matricon

814 citations
14 papers · 394 indexed · h-index 12
Topics
Receptor Mechanisms and Signaling (12 papers)Neuropeptides and Animal Physiology (6 papers)Chemical Synthesis and Analysis (3 papers)

In The Last Decade

Pierre Matricon

14 papers receiving 391 citations

Peers

Pierre Matricon
Comparison fields: 5 of 80
  • Molecular Biology 316
  • Cellular and Molecular Neuroscience 98
  • Computational Theory and Mathematics 65
  • Physiology 61
  • Spectroscopy 35
Replace Cédric Fiez-Vandal with:
Cédric Fiez-Vandal France
Haibei Hu United States
Sacha Thierry Larda Canada
Chidochangu P. Mpamhanga United Kingdom
Ashutosh A. Kulkarni United States
Mauricio Esguerra Sweden
Zhan-Guo Gao United States
Jacobus P. D. van Veldhoven Netherlands
Venkat R. Chirasani United States
Jan Møller Germany
Pierre Matricon relative to Cédric Fiez-Vandal France Cédric Fiez-Vandal's profile →
Citations per field
00.5×
Cédric Fiez-Vandal · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 2
2 12
3 11
4 13
5 20
6 12
7 14
8 62
9 42
10 44
11 41
12 41
13 19
14 61

About Pierre Matricon

Pierre Matricon is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 14 papers that have together received 394 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (6 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Physiology (61 citations), Cellular and Molecular Neuroscience (98 citations) and Molecular Biology (316 citations). Pierre Matricon has collaborated with scholars based in Sweden, United States and Czechia. Frequent 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 Stefan Wennmalm. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and Biochemistry.

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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