Véronique Perrot

2.1k total citations
9 papers, 1.4k citations indexed

About

Véronique Perrot is a scholar working on Genetics, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Véronique Perrot has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Infectious Diseases and 2 papers in Sociology and Political Science. Recurrent topics in Véronique Perrot's work include Evolution and Genetic Dynamics (4 papers), Plant and animal studies (2 papers) and Genetic diversity and population structure (2 papers). Véronique Perrot is often cited by papers focused on Evolution and Genetic Dynamics (4 papers), Plant and animal studies (2 papers) and Genetic diversity and population structure (2 papers). Véronique Perrot collaborates with scholars based in United States, France and Switzerland. Véronique Perrot's co-authors include Bruce R. Levin, Stephanie J. Schrag, Myriam Valéro, Sophie Richerd, James Dickey, Marc Lipsitch, Lone Simonsen, Rustom Antia, Frank M. Stewart and Christophe Destombe and has published in prestigious journals such as Nature, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Véronique Perrot

9 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Véronique Perrot United States	8	646	405	345	234	174	9	1.4k
Francisco Dionísio Portugal	20	705 1.1×	653 1.6×	534 1.5×	406 1.7×	125 0.7×	49	1.6k
Tom Vogwill United Kingdom	15	603 0.9×	389 1.0×	325 0.9×	368 1.6×	85 0.5×	16	1.2k
François Blanquart France	20	633 1.0×	312 0.8×	173 0.5×	377 1.6×	261 1.5×	50	1.6k
J. Eugene LeClerc United States	22	748 1.2×	931 2.3×	576 1.7×	518 2.2×	306 1.8×	32	2.2k
Tami D. Lieberman United States	15	716 1.1×	1.2k 2.9×	390 1.1×	309 1.3×	339 1.9×	23	2.3k
James P. J. Hall United Kingdom	22	455 0.7×	734 1.8×	517 1.5×	505 2.2×	94 0.5×	39	1.6k
Benjamin C Kirkup United States	14	340 0.5×	541 1.3×	229 0.7×	284 1.2×	61 0.4×	30	1.3k
Ana Sousa Portugal	14	576 0.9×	496 1.2×	148 0.4×	175 0.7×	138 0.8×	27	999
José Antonio Escudero Spain	23	265 0.4×	492 1.2×	657 1.9×	308 1.3×	101 0.6×	56	1.4k
Ellie Harrison United Kingdom	26	753 1.2×	922 2.3×	727 2.1×	862 3.7×	120 0.7×	47	2.2k

Countries citing papers authored by Véronique Perrot

Since Specialization

Citations

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

Fields of papers citing papers by Véronique Perrot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Perrot

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Haaber, Jakob, et al.. (2020). Human antimicrobial peptide, LL-37, induces non-inheritable reduced susceptibility to vancomycin in Staphylococcus aureus. Scientific Reports. 10(1). 13121–13121. 17 indexed citations

2.

Dickey, James & Véronique Perrot. (2019). Adjunct phage treatment enhances the effectiveness of low antibiotic concentration against Staphylococcus aureus biofilms in vitro. PLoS ONE. 14(1). e0209390–e0209390. 92 indexed citations

3.

Levin, Bruce R., et al.. (2017). A Numbers Game: Ribosome Densities, Bacterial Growth, and Antibiotic-Mediated Stasis and Death. mBio. 8(1). 45 indexed citations

4.

Perrot, Véronique. (2002). Haploid all the way: a new style of asexuality revealed in animals. BioEssays. 24(2). 114–118. 2 indexed citations

5.

Levin, Bruce R., et al.. (2000). Compensatory Mutations, Antibiotic Resistance and the Population Genetics of Adaptive Evolution in Bacteria. Genetics. 154(3). 985–997. 442 indexed citations

6.

Schrag, Stephanie J., Véronique Perrot, & Bruce R. Levin. (1997). Adaptation to the fitness costs of antibiotic resistance inEscherichia coli. Proceedings of the Royal Society B Biological Sciences. 264(1386). 1287–1291. 292 indexed citations

7.

Levin, Bruce R., Marc Lipsitch, Véronique Perrot, et al.. (1997). The Population Genetics of Antibiotic Resistance. Clinical Infectious Diseases. 24(Supplement_1). S9–S16. 253 indexed citations

8.

Valéro, Myriam, Sophie Richerd, Véronique Perrot, & Christophe Destombe. (1992). Evolution of alternation of haploid and diploid phases in life cycles. Trends in Ecology & Evolution. 7(1). 25–29. 97 indexed citations

9.

Perrot, Véronique, Sophie Richerd, & Myriam Valéro. (1991). Transition from haploidy to diploidy. Nature. 351(6324). 315–317. 116 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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