Véronique Peucelle

13 total papers · 473 total citations
12 papers, 372 citations indexed

About

Véronique Peucelle is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Véronique Peucelle has authored 12 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Physiology. Recurrent topics in Véronique Peucelle's work include Gut microbiota and health (6 papers), Probiotics and Fermented Foods (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Véronique Peucelle is often cited by papers focused on Gut microbiota and health (6 papers), Probiotics and Fermented Foods (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Véronique Peucelle collaborates with scholars based in France, Lebanon and Ivory Coast. Véronique Peucelle's co-authors include Corinne Grangette, Jeanne Alard, Bruno Pot, Denise Boutillier, Moez Rhimi, Emmanuelle Maguin, Isabelle Wolowczuk, Anne‐Judith Waligora‐Dupriet, Véronique Lehrter and Anne‐Laure Abraham and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Véronique Peucelle

10 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Véronique Peucelle 275 139 98 74 50 12 372
Jeanne Alard 298 1.1× 175 1.3× 101 1.0× 77 1.0× 54 1.1× 9 390
Elsa Jacouton 320 1.2× 132 0.9× 83 0.8× 42 0.6× 65 1.3× 12 438
Joon-Gi Kwon 248 0.9× 141 1.0× 58 0.6× 72 1.0× 61 1.2× 11 438
HyunWoo Son 237 0.9× 82 0.6× 103 1.1× 69 0.9× 42 0.8× 11 375
Daniel Andersen 254 0.9× 107 0.8× 67 0.7× 142 1.9× 51 1.0× 12 432
Usha Vyas 222 0.8× 89 0.6× 99 1.0× 58 0.8× 42 0.8× 8 412
Lorena Valdés-Varela 273 1.0× 114 0.8× 114 1.2× 79 1.1× 116 2.3× 10 410
F. Kozlowski 225 0.8× 130 0.9× 100 1.0× 151 2.0× 36 0.7× 8 406
GyuDae Lee 241 0.9× 79 0.6× 104 1.1× 68 0.9× 28 0.6× 21 414
Chyn Boon Wong 267 1.0× 163 1.2× 51 0.5× 125 1.7× 49 1.0× 11 404

Countries citing papers authored by Véronique Peucelle

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Peucelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Peucelle

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