Florence Vignoles

773 total citations
20 papers, 579 citations indexed

About

Florence Vignoles is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Florence Vignoles has authored 20 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 10 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Florence Vignoles's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Genetic and phenotypic traits in livestock (8 papers) and Chromosomal and Genetic Variations (5 papers). Florence Vignoles is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Genetic and phenotypic traits in livestock (8 papers) and Chromosomal and Genetic Variations (5 papers). Florence Vignoles collaborates with scholars based in France, Morocco and United States. Florence Vignoles's co-authors include Frédérique Pitel, Alain Vignal, Katia Fève, Bertrand Bed’Hom, Sophie Leroux, David Gourichon, Mireille Morisson, Larry A. Cogburn, Samuel E. Aggrey and Jean Simon and has published in prestigious journals such as Nucleic Acids Research, PLoS Biology and Biology of Reproduction.

In The Last Decade

Florence Vignoles

20 papers receiving 568 citations

Peers

Florence Vignoles

GENET

MB

ASZ

PS

PHEOH

Attila Zsolnai Hungary

Chungang Feng China

N.L. Lopez‐Corrales United States

Natalia Sevane Spain

Mohammad Reza Nassiry Iran

H. van der Steen Australia

Anne-Sophie Van Laere Belgium

Kehua Wang China

Per Wahlberg Sweden

Huirong Mao China

Attila Zsolnai Hungary

Florence Vignoles

448 ×1.4

GENET

161 ×0.7

MB

131 ×0.7

ASZ

45 ×0.4

PS

47 ×1.3

PHEOH

Citations per year, relative to Florence Vignoles Florence Vignoles (= 1×) peers Attila Zsolnai

Countries citing papers authored by Florence Vignoles

Since Specialization

Citations

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

Fields of papers citing papers by Florence Vignoles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Vignoles

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

All Works

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20 of 20 papers shown

1.

Terenina, Elena, Stéphane Fabre, Agnès Bonnet, et al.. (2016). Differentially expressed genes and gene networks involved in pig ovarian follicular atresia. Physiological Genomics. 49(2). 67–80. 56 indexed citations

2.

Voillet, Valentin, Magali SanCristobal, Yannick Lippi, et al.. (2014). Muscle transcriptomic investigation of late fetal development identifies candidate genes for piglet maturity. BMC Genomics. 15(1). 797–797. 27 indexed citations

3.

Pinton, Alain, et al.. (2014). Sperm DNA Methylation Analysis in Swine Reveals Conserved and Species-Specific Methylation Patterns and Highlights an Altered Methylation at the GNAS Locus in Infertile Boars1. Biology of Reproduction. 91(6). 137–137. 27 indexed citations

4.

Frésard, Laure, Sophie Leroux, Bertrand Servin, et al.. (2014). Transcriptome-wide investigation of genomic imprinting in chicken. Nucleic Acids Research. 42(6). 3768–3782. 53 indexed citations

5.

Frésard, Laure, Sophie Leroux, Patrice Déhais, et al.. (2012). Fine mapping of complex traits in non-model species: using next generation sequencing and advanced intercross lines in Japanese quail. BMC Genomics. 13(1). 551–551. 21 indexed citations

6.

Elsen, Jean Michel J. M., Alain Vignal, Florence Vignoles, et al.. (2012). Detection of QTL controlling metabolism, meat quality, and liver quality traits of the overfed interspecific hybrid mule duck1. Journal of Animal Science. 91(2). 588–604. 10 indexed citations

7.

Mou, Chunyan, Frédérique Pitel, David Gourichon, et al.. (2011). Cryptic Patterning of Avian Skin Confers a Developmental Facility for Loss of Neck Feathering. PLoS Biology. 9(3). e1001028–e1001028. 88 indexed citations

8.

Solinhac, Romain, Sophie Leroux, Svetlana Galkina, et al.. (2010). Integrative mapping analysis of chicken microchromosome 16 organization. BMC Genomics. 11(1). 616–616. 39 indexed citations

9.

Leroux, Sophie, Katia Fève, Florence Vignoles, et al.. (2010). Non PCR-amplified Transcripts and AFLP®® fragments as reduced representations of the quail genome for 454 Titanium sequencing. BMC Research Notes. 3(1). 214–214. 8 indexed citations

10.

Calenge, Fanny, Frédéric Lecerf, Julie Demars, et al.. (2009). QTL for resistance to Salmonella carrier state confirmed in both experimental and commercial chicken lines. Animal Genetics. 40(5). 590–597. 26 indexed citations

11.

Mignon, Guillaume Le, Frédérique Pitel, Hélène Gilbert, et al.. (2009). A comprehensive analysis of QTL for abdominal fat and breast muscle weights on chicken chromosome 5 using a multivariate approach. Animal Genetics. 40(2). 157–164. 18 indexed citations

12.

Nadaf, Javad, Frédérique Pitel, Hélène Gilbert, et al.. (2009). QTL for several metabolic traits map to loci controlling growth and body composition in an F₂ intercross between high- and low-growth chicken lines. Physiological Genomics. 38(3). 241–249. 73 indexed citations

13.

Fève, Katia, Valérie Fillon, David Gourichon, et al.. (2008). Addition of the microchromosome GGA25 to the chicken genome sequence assembly through radiation hybrid and genetic mapping. BMC Genomics. 9(1). 129–129. 16 indexed citations

14.

Morisson, Mireille, Mathieu Denis, D. Milan, et al.. (2007). The chicken RH map: current state of progress and microchromosome mapping. Cytogenetic and Genome Research. 117(1-4). 14–21. 17 indexed citations

15.

Du, Zhiqiang, Silvia Vincent‐Naulleau, Hélène Gilbert, et al.. (2007). Detection of novel quantitative trait loci for cutaneous melanoma by genome-wide scan in the MeLiM swine model. SPIRE - Sciences Po Institutional REpository. 2 indexed citations

16.

Abasht, Behnam, Frédérique Pitel, Sandrine Lagarrigue, et al.. (2006). Fatness QTL on chicken chromosome 5 and interaction with sex. Genetics Selection Evolution. 38(3). 297–311. 29 indexed citations

17.

Abasht, Behnam, Frédérique Pitel, Sandrine Lagarrigue, et al.. (2006). Fatness QTL on chicken chromosome 5 and interaction with sex. Genetics Selection Evolution. 38(3). 297–311. 3 indexed citations

18.

Leroux, Sophie, Florence Vignoles, Katia Fève, et al.. (2005). Construction of a radiation hybrid map of chicken chromosome 2 and alignment to the chicken draft sequence. BMC Genomics. 6(1). 12–12. 9 indexed citations

19.

Beaumont, Catherine, Katia Fève, Florence Vignoles, et al.. (2005). A genome scan with AFLP^TM markers to detect fearfulness‐related QTLs in Japanese quail. Animal Genetics. 36(5). 401–407. 37 indexed citations

20.

Pitel, Frédérique, Behnam Abasht, Mireille Morisson, et al.. (2004). A high-resolution radiation hybrid map of chicken chromosome 5 and comparison with human chromosomes. BMC Genomics. 5(1). 66–66. 20 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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