Florence Jaffrézic

4.4k total citations · 1 hit paper
78 papers, 2.7k citations indexed

About

Florence Jaffrézic is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Florence Jaffrézic has authored 78 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 32 papers in Molecular Biology and 13 papers in Animal Science and Zoology. Recurrent topics in Florence Jaffrézic's work include Genetic and phenotypic traits in livestock (24 papers), Gene expression and cancer classification (14 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Florence Jaffrézic is often cited by papers focused on Genetic and phenotypic traits in livestock (24 papers), Gene expression and cancer classification (14 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Florence Jaffrézic collaborates with scholars based in France, Morocco and United Kingdom. Florence Jaffrézic's co-authors include Andréa Rau, Guillemette Marot, Jean‐Louis Foulley, Dénis Laloë, Tom Druet, Vincent Ducrocq, Mélina Gallopin, Luc Jouneau, Christelle Hennequet‐Antier and Julie Aubert and has published in prestigious journals such as Bioinformatics, PLoS ONE and Development.

In The Last Decade

Florence Jaffrézic

78 papers receiving 2.7k citations

Hit Papers

A comprehensive evaluation of normalization methods for I... 2012 2026 2016 2021 2012 250 500 750

Peers

Florence Jaffrézic
Xinyun Li China
Wen Huang United States
Jonathan Stephens United Kingdom
Xinyun Li China
Florence Jaffrézic
Citations per year, relative to Florence Jaffrézic Florence Jaffrézic (= 1×) peers Xinyun Li

Countries citing papers authored by Florence Jaffrézic

Since Specialization
Citations

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

Fields of papers citing papers by Florence Jaffrézic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Jaffrézic

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Jaffrézic. A scholar is included among the top collaborators of Florence Jaffrézic 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 Jaffrézic. Florence Jaffrézic 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.
Ivanova, Elitsa, Johan Castille, Johann Laubier, et al.. (2024). Mutation of SOCS2 induces structural and functional changes in mammary development. Development. 151(6). 1 indexed citations
2.
Rau, Andréa, Bruno Passet, Johan Castille, et al.. (2022). Potential genetic robustness of Prnp and Sprn double knockout mouse embryos towards ShRNA-lentiviral inoculation. Veterinary Research. 53(1). 54–54. 2 indexed citations
3.
Chaulot‐Talmon, Aurélie, Eli Sellem, Luc Jouneau, et al.. (2022). Predicting male fertility from the sperm methylome: application to 120 bulls with hundreds of artificial insemination records. Clinical Epigenetics. 14(1). 54–54. 28 indexed citations
4.
Rau, Andréa, Regina Manansala, Michael J. Flister, et al.. (2020). Individualized multi-omic pathway deviation scores using multiple factor analysis. Biostatistics. 23(2). 362–379. 5 indexed citations
5.
Chiquet, Julien, et al.. (2020). Fast tree aggregation for consensus hierarchical clustering. BMC Bioinformatics. 21(1). 120–120. 12 indexed citations
6.
Dhorne‐Pollet, Sophie, Elisa Crisci, Núria Mach, et al.. (2019). The miRNA-targeted transcriptome of porcine alveolar macrophages upon infection with Porcine Reproductive and Respiratory Syndrome Virus. Scientific Reports. 9(1). 3160–3160. 8 indexed citations
7.
Dupont‐Nivet, Mathilde, Marianne Cluzeaud, Florence Jaffrézic, et al.. (2018). Detection of new pathways involved in the acceptance and the utilisation of a plant-based diet in isogenic lines of rainbow trout fry. PLoS ONE. 13(7). e0201462–e0201462. 13 indexed citations
8.
Nguyen, Minh, Marion Boutinaud, Anne Gabory, et al.. (2014). DNA Methylation and Transcription in a Distal Region Upstream from the Bovine AlphaS1 Casein Gene after Once or Twice Daily Milking. PLoS ONE. 9(11). e111556–e111556. 26 indexed citations
9.
Rau, Andréa, Guillemette Marot, & Florence Jaffrézic. (2014). Differential meta-analysis of RNA-seq data from multiple studies. BMC Bioinformatics. 15(1). 91–91. 103 indexed citations
10.
Rau, Andréa, et al.. (2010). An Empirical Bayesian Method for Estimating Biological Networks from Temporal Microarray Data. Statistical Applications in Genetics and Molecular Biology. 9(1). Article 9–Article 9. 42 indexed citations
11.
Guyonnet, Benoît, et al.. (2009). The adult boar testicular and epididymal transcriptomes. BMC Genomics. 10(1). 369–369. 52 indexed citations
12.
Marot, Guillemette, Jean‐Louis Foulley, Claus Mayer, & Florence Jaffrézic. (2009). Moderated effect size and P-value combinations for microarray meta-analyses. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
13.
Flori, Laurence, Sébastien Fritz, Florence Jaffrézic, et al.. (2009). The Genome Response to Artificial Selection: A Case Study in Dairy Cattle. PLoS ONE. 4(8). e6595–e6595. 173 indexed citations
14.
Gautier, Mathieu, Laurence Flori, Andrea Riebler, et al.. (2009). A whole genome Bayesian scan for adaptive genetic divergence in West African cattle. BMC Genomics. 10(1). 550–550. 150 indexed citations
15.
Jaffrézic, Florence, et al.. (2007). REML Estimation of Variance Parameters in Nonlinear Mixed Effects Models Using the SAEM Algorithm. Biometrical Journal. 49(6). 876–888. 15 indexed citations
16.
Jaffrézic, Florence, et al.. (2004). Use of structured antedependence models for the genetic analysis of growth curves1. Journal of Animal Science. 82(12). 3465–3473. 17 indexed citations
17.
Druet, Tom, Florence Jaffrézic, Didier Boichard, & Vincent Ducrocq. (2003). Modeling Lactation Curves and Estimation of Genetic Parameters for First Lactation Test-Day Records of French Holstein Cows. Journal of Dairy Science. 86(7). 2480–2490. 150 indexed citations
18.
Jaffrézic, Florence, Ian White, & R. Thompson. (2003). Use of the score test as a goodness-of-fit measure of the covariance structure in genetic analysis of longitudinal data. Genetics Selection Evolution. 35(2). 185–98. 9 indexed citations
19.
Jaffrézic, Florence, Ian White, R. Thompson, & Peter M. Visscher. (2002). Contrasting Models for Lactation Curve Analysis. Journal of Dairy Science. 85(4). 968–975. 19 indexed citations
20.
Jaffrézic, Florence, Ian White, R. Thompson, & William G. Hill. (2000). A Link Function Approach to Model Heterogeneity of Residual Variances Over Time in Lactation Curve Analyses. Journal of Dairy Science. 83(5). 1089–1093. 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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