Pierre Péricard

6.5k total citations
4 papers, 392 citations indexed

About

Pierre Péricard is a scholar working on Molecular Biology, Geometry and Topology and Ecology. According to data from OpenAlex, Pierre Péricard has authored 4 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Geometry and Topology and 1 paper in Ecology. Recurrent topics in Pierre Péricard's work include Morphological variations and asymmetry (1 paper), Hemispheric Asymmetry in Neuroscience (1 paper) and Microbial Community Ecology and Physiology (1 paper). Pierre Péricard is often cited by papers focused on Morphological variations and asymmetry (1 paper), Hemispheric Asymmetry in Neuroscience (1 paper) and Microbial Community Ecology and Physiology (1 paper). Pierre Péricard collaborates with scholars based in France and Spain. Pierre Péricard's co-authors include Marie Tremblay‐Franco, Jean‐François Martin, Etienne Thévenot, Mélanie Pétéra, Franck Giacomoni, Gildas Le Corguillé, Daniel Jacob, Sophie Goulitquer, Christophe Caron and Christophe Dupérier and has published in prestigious journals such as Nature Communications and Bioinformatics.

In The Last Decade

Pierre Péricard

4 papers receiving 389 citations

Peers

Pierre Péricard

MB

SPECT

ECOLO

BE

PHYSI

David Wildridge United Kingdom

Stefanie Gerbig Germany

Hendrik Treutler Germany

Shizhen Qin China

Maria Toro-Moreno United States

Stephan Kamrad United Kingdom

Tracy M. Andacht United States

Lucía Herrera-Domínguez United Kingdom

Keisuke Noto Japan

Linsheng Gui China

David Wildridge United Kingdom

Pierre Péricard

318 ×1.1

MB

92 ×1.5

SPECT

37 ×0.6

ECOLO

26 ×0.7

BE

26 ×0.9

PHYSI

Citations per year, relative to Pierre Péricard Pierre Péricard (= 1×) peers David Wildridge

Countries citing papers authored by Pierre Péricard

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Péricard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Péricard

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Péricard. A scholar is included among the top collaborators of Pierre Péricard 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 Péricard. Pierre Péricard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Sánchez, Cecilia G., Ludovic Huot, Thomas Mouveaux, et al.. (2021). TgAP2IX-5 is a key transcriptional regulator of the asexual cell cycle division in Toxoplasma gondii. Nature Communications. 12(1). 116–116. 25 indexed citations

2.

Péricard, Pierre, et al.. (2017). MATAM: reconstruction of phylogenetic marker genes from short sequencing reads in metagenomes. Bioinformatics. 34(4). 585–591. 38 indexed citations

3.

Laguerre, Laurent, Arnaud Menuet, Pierre Péricard, et al.. (2015). The ancestral role of nodal signalling in breaking L/R symmetry in the vertebrate forebrain. Nature Communications. 6(1). 6686–6686. 28 indexed citations

4.

Giacomoni, Franck, Gildas Le Corguillé, Pierre Péricard, et al.. (2014). Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics. Bioinformatics. 31(9). 1493–1495. 301 indexed citations

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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