Franck Gauthier

409 total citations
10 papers, 207 citations indexed

About

Franck Gauthier is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Franck Gauthier has authored 10 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Franck Gauthier's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Gut microbiota and health (3 papers). Franck Gauthier is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Gut microbiota and health (3 papers). Franck Gauthier collaborates with scholars based in France, United Kingdom and United States. Franck Gauthier's co-authors include Olivier Martin, Matthieu Falque, Florian Plaza Oñate, Emmanuelle Le Chatelier, S. Dusko Ehrlich, Stephen M. Stack, Lorinda K. Anderson, Matthieu Pichaud, Alessandra Cervino and Frédéric Magoulès and has published in prestigious journals such as Bioinformatics, The Plant Cell and Scientific Reports.

In The Last Decade

Franck Gauthier

9 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Franck Gauthier France	7	136	73	63	22	20	10	207
Xin‐Yi Chua Australia	5	152 1.1×	18 0.2×	23 0.4×	6 0.3×	20 1.0×	13	224
Laurence Despons France	11	255 1.9×	48 0.7×	36 0.6×	10 0.5×	2 0.1×	18	289
Rocío Amorín United States	11	144 1.1×	11 0.2×	79 1.3×	6 0.3×	34 1.7×	14	301
Yanyu Duan China	12	118 0.9×	46 0.6×	412 6.5×	4 0.2×	20 1.0×	38	551
Roger D. Reid United States	9	89 0.7×	39 0.5×	100 1.6×	3 0.1×	20 1.0×	11	260
Qing Cao China	12	145 1.1×	254 3.5×	10 0.2×	39 1.8×	13 0.7×	26	420
Elleni Michu Czechia	11	113 0.8×	51 0.7×	34 0.5×	32 1.5×	6 0.3×	12	232
Muhammad Aslam India	11	86 0.6×	24 0.3×	102 1.6×	16 0.7×	4 0.2×	30	343
Daphné Reiss France	8	288 2.1×	230 3.2×	92 1.5×	3 0.1×	3 0.1×	9	423

Countries citing papers authored by Franck Gauthier

Since Specialization

Citations

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

Fields of papers citing papers by Franck Gauthier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franck Gauthier

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

All Works

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10 of 10 papers shown

Thirion, Florence, Florian Plaza Oñate, Franck Gauthier, et al.. (2025). Accurate profiling of microbial communities for shotgun metagenomic sequencing with Meteor2. Microbiome. 13(1). 227–227.

Gauthier, Franck, et al.. (2022). SeSAM: software for automatic construction of order-robust linkage maps. BMC Bioinformatics. 23(1). 499–499. 1 indexed citations

Berland, Magali, Victoria Meslier, Emmanuelle Le Chatelier, et al.. (2022). Both Disease Activity and HLA–B27 Status Are Associated With Gut Microbiome Dysbiosis in Spondyloarthritis Patients. Arthritis & Rheumatology. 75(1). 41–52. 30 indexed citations

Berland, Magali, Florence Levenez, Nathalie Galleron, et al.. (2021). High engraftment capacity of frozen ready-to-use human fecal microbiota transplants assessed in germ-free mice. Scientific Reports. 11(1). 4365–4365. 8 indexed citations

Oñate, Florian Plaza, Emmanuelle Le Chatelier, Mathieu Almeida, et al.. (2018). MSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data. Bioinformatics. 35(9). 1544–1552. 64 indexed citations

Valente, Fabio, et al.. (2014). OptiMAS: A Decision Support Tool to Conduct Marker-Assisted Selection Programs. Methods in molecular biology. 1145. 97–116. 2 indexed citations

Valente, Fabio, et al.. (2013). OptiMAS: A Decision Support Tool for Marker-Assisted Assembly of Diverse Alleles. Journal of Heredity. 104(4). 586–590. 18 indexed citations

Gauthier, Franck, et al.. (2013). Hot Regions of Noninterfering Crossovers Coexist with a Nonuniformly Interfering Pathway inArabidopsis thaliana. Genetics. 195(3). 769–779. 17 indexed citations

Gauthier, Franck, Olivier Martin, & Matthieu Falque. (2011). CODA (crossover distribution analyzer): quantitative characterization of crossover position patterns along chromosomes. BMC Bioinformatics. 12(1). 27–27. 24 indexed citations

10.

Falque, Matthieu, Lorinda K. Anderson, Stephen M. Stack, Franck Gauthier, & Olivier Martin. (2009). Two Types of Meiotic Crossovers Coexist in Maize. The Plant Cell. 21(12). 3915–3925. 43 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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