Thomas Faraut

3.3k total citations
34 papers, 749 citations indexed

About

Thomas Faraut is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Thomas Faraut has authored 34 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Genetics and 12 papers in Plant Science. Recurrent topics in Thomas Faraut's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Chromosomal and Genetic Variations (10 papers) and Genetic and phenotypic traits in livestock (9 papers). Thomas Faraut is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Chromosomal and Genetic Variations (10 papers) and Genetic and phenotypic traits in livestock (9 papers). Thomas Faraut collaborates with scholars based in France, United States and Morocco. Thomas Faraut's co-authors include Annie Robic, Michaël Abrouk, Catherine Feuillet, Joachim Messing, Jacques Demongeot, Marie-Ange Mermet, Armelle Prunier, Olivier Cohen, Robbie Waugh and Nicolas Guilhot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Faraut

31 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Faraut France 14 387 322 277 73 53 34 749
P. C. Tizioto Brazil 18 493 1.3× 61 0.2× 266 1.0× 218 3.0× 29 0.5× 48 854
Maurício A. Mudadu Brazil 16 655 1.7× 108 0.3× 265 1.0× 196 2.7× 22 0.4× 45 945
J. de O. Peixoto Brazil 15 393 1.0× 92 0.3× 242 0.9× 103 1.4× 20 0.4× 64 775
Ingrid Olsaker Norway 16 563 1.5× 152 0.5× 356 1.3× 59 0.8× 7 0.1× 26 995
Cheryl A. Green United States 8 601 1.6× 176 0.5× 328 1.2× 96 1.3× 5 0.1× 10 940
Fujun Shen China 16 256 0.7× 49 0.2× 332 1.2× 71 1.0× 17 0.3× 56 647
Adhemar Zerlotini Brazil 17 240 0.6× 42 0.1× 228 0.8× 148 2.0× 302 5.7× 33 750
W Barris Australia 7 340 0.9× 115 0.4× 341 1.2× 304 4.2× 7 0.1× 10 750
Anne-Sophie Van Laere Belgium 8 769 2.0× 99 0.3× 379 1.4× 185 2.5× 4 0.1× 12 1.1k
G.A. Walling United Kingdom 16 813 2.1× 163 0.5× 339 1.2× 101 1.4× 5 0.1× 33 1.2k

Countries citing papers authored by Thomas Faraut

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Faraut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Faraut

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

All Works

20 of 20 papers shown
1.
2.
Boussaha, Mekki, Christophe Klopp, Cécile Grohs, et al.. (2025). Whole genome short read data from 567 bulls of 14 breeds provides insight into genetic diversity of French cattle. Data in Brief. 62. 112049–112049.
3.
Faraut, Thomas, Nathalie Bonnet, Anne Barbat, et al.. (2023). Large-scale detection and characterization of interchromosomal rearrangements in normozoospermic bulls using massive genotype and phenotype data sets. Genome Research. 33(6). 957–971. 7 indexed citations
4.
Iampietro, Carole, Claire Kuchly, Arnaud Di Franco, et al.. (2023). A Bos taurus sequencing methods benchmark for assembly, haplotyping, and variant calling. Scientific Data. 10(1). 369–369. 5 indexed citations
5.
Aschard, Hugues, et al.. (2023). Enhancer/gene relationships: Need for more reliable genome-wide reference sets. SHILAP Revista de lepidopterología. 3. 1092853–1092853. 2 indexed citations
6.
Robic, Annie, Thomas Faraut, Katia Fève, et al.. (2021). Correlation Networks Provide New Insights into the Architecture of Testicular Steroid Pathways in Pigs. Genes. 12(4). 551–551. 8 indexed citations
7.
Robic, Annie, et al.. (2021). Comparative Analysis of the Circular Transcriptome in Muscle, Liver, and Testis in Three Livestock Species. Frontiers in Genetics. 12. 665153–665153. 16 indexed citations
8.
Mariadassou, Mahendra, Alain Vignal, Pierre Nicolas, et al.. (2020). Unraveling the history of the genus Gallus through whole genome sequencing. Molecular Phylogenetics and Evolution. 158. 107044–107044. 6 indexed citations
9.
Robic, Annie, Thomas Faraut, Sarah Djebali, et al.. (2019). Analysis of pig transcriptomes suggests a global regulation mechanism enabling temporary bursts of circular RNAs. RNA Biology. 16(9). 1190–1204. 17 indexed citations
10.
Fève, Katia, Sylvain Foissac, Alain Pinton, et al.. (2017). Identification of a t(3;4)(p1.3;q1.5) translocation breakpoint in pigs using somatic cell hybrid mapping and high-resolution mate-pair sequencing. PLoS ONE. 12(11). e0187617–e0187617. 2 indexed citations
11.
Abrouk, Michaël, Florent Murat, Caroline Pont, et al.. (2010). Palaeogenomics of plants: synteny-based modelling of extinct ancestors. Trends in Plant Science. 15(9). 479–487. 81 indexed citations
12.
Robic, Annie, et al.. (2008). Characterization of Porcine ASB6 Gene and Transcripts—Comparison of Mammalian Transcripts. Animal Biotechnology. 19(3). 138–143. 1 indexed citations
13.
Faraut, Thomas. (2008). Addressing chromosome evolution in the whole-genome sequence era. Chromosome Research. 16(1). 5–16. 9 indexed citations
14.
Cavaillès, Pierre, Cordelia Bisanz, Olivier Papapietro, et al.. (2006). The rat Toxo1 locus directs toxoplasmosis outcome and controls parasite proliferation and spreading by macrophage-dependent mechanisms. Proceedings of the National Academy of Sciences. 103(3). 744–749. 57 indexed citations
15.
Lahbib‐Mansais, Y., Florence Mompart, Denis Milan, et al.. (2006). Evolutionary breakpoints through a high-resolution comparative map between porcine chromosomes 2 and 16 and human chromosomes. Genomics. 88(4). 504–512. 11 indexed citations
16.
Pinton, Alain, Thomas Faraut, M. Yerle, et al.. (2005). Comparison of male and female meiotic segregation patterns in translocation heterozygotes: a case study in an animal model (Sus scrofa domestica L.). Human Reproduction. 20(9). 2476–2482. 16 indexed citations
17.
Faraut, Thomas, et al.. (2004). The cyclic genetic code as a constraint satisfaction problem. Theoretical Computer Science. 322(2). 313–334. 9 indexed citations
18.
Robic, Annie, Thomas Faraut, Nathalie Iannuccelli, et al.. (2003). A new contribution to the integration of human and porcine genome maps: 623 new points of homology. Cytogenetic and Genome Research. 102(1-4). 100–108. 14 indexed citations
19.
Demeure, Olivier, Christine Renard, M. Yerle, et al.. (2003). Rearranged gene order between pig and human in a QTL region on SSC 7. Mammalian Genome. 14(1). 71–80. 27 indexed citations
20.
Faraut, Thomas, et al.. (1999). [Combined use of nuchal translucency, gestational age and maternal age for evaluation of the risk of trisomy 21].. PubMed. 28(5). 439–45. 2 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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