Carole Charlier

9.1k total citations · 4 hit papers
88 papers, 6.0k citations indexed

About

Carole Charlier is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Carole Charlier has authored 88 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Genetics, 42 papers in Molecular Biology and 20 papers in Cancer Research. Recurrent topics in Carole Charlier's work include Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Cancer-related molecular mechanisms research (17 papers). Carole Charlier is often cited by papers focused on Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Cancer-related molecular mechanisms research (17 papers). Carole Charlier collaborates with scholars based in Belgium, United States and France. Carole Charlier's co-authors include Michel Georges, Robin J. Leach, Nanda A. Singh, Noelle Cockett, Wouter Coppieters, Mark Leppert, Florian Caiment, Xavier Tordoir, Tracey Lewis and B.E. Reus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Carole Charlier

85 papers receiving 5.8k citations

Hit Papers

A mutation creating a potential illegitimate microRNA tar... 1998 2026 2007 2016 2006 1998 1998 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carole Charlier Belgium 34 4.0k 2.8k 1.2k 1.2k 762 88 6.0k
Brian Sauer United States 39 5.9k 1.5× 2.7k 1.0× 619 0.5× 420 0.4× 367 0.5× 66 8.4k
Lorraine N. Clark United States 35 2.3k 0.6× 804 0.3× 1.2k 1.0× 183 0.2× 254 0.3× 110 5.6k
Minesuke Yokoyama Japan 35 4.7k 1.2× 1.9k 0.7× 1.0k 0.9× 325 0.3× 147 0.2× 92 8.9k
Barbara R. DuPont United States 25 1.9k 0.5× 1.3k 0.5× 675 0.6× 105 0.1× 408 0.5× 91 3.3k
Tomoji Mashimo Japan 32 2.4k 0.6× 1.1k 0.4× 438 0.4× 147 0.1× 212 0.3× 138 3.7k
Atsushi Yoshiki Japan 35 2.2k 0.6× 839 0.3× 987 0.9× 268 0.2× 102 0.1× 108 4.2k
Wenli Gu China 22 1.4k 0.4× 1.3k 0.5× 372 0.3× 234 0.2× 59 0.1× 47 2.7k
Jean‐Marie Vanderwinden Belgium 32 3.3k 0.8× 681 0.2× 509 0.4× 477 0.4× 88 0.1× 81 5.7k
Delphine Samson France 11 2.0k 0.5× 1.4k 0.5× 604 0.5× 211 0.2× 95 0.1× 13 4.1k
Janet M. Young United States 35 3.0k 0.8× 2.3k 0.8× 1.0k 0.9× 373 0.3× 154 0.2× 81 6.1k

Countries citing papers authored by Carole Charlier

Since Specialization
Citations

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

Fields of papers citing papers by Carole Charlier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carole Charlier

This figure shows the co-authorship network connecting the top 25 collaborators of Carole Charlier. A scholar is included among the top collaborators of Carole Charlier 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 Carole Charlier. Carole Charlier 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.
Tang, Lijing, Benjamin Swedlund, Sébastien Dupont, et al.. (2024). GWAS reveals determinants of mobilization rate and dynamics of an active endogenous retrovirus of cattle. Nature Communications. 15(1). 2154–2154. 7 indexed citations
2.
Robic, Annie, Frieder Hadlich, Gabriel Costa Monteiro Moreira, et al.. (2024). Innovative construction of the first reliable catalogue of bovine circular RNAs. RNA Biology. 21(1). 716–738. 2 indexed citations
3.
Gori, Ann-Stephan, Gabriel Costa Monteiro Moreira, Haruko Takeda, et al.. (2023). Sequenced-based GWAS for linear classification traits in Belgian Blue beef cattle reveals new coding variants in genes regulating body size in mammals. Genetics Selection Evolution. 55(1). 83–83. 10 indexed citations
4.
Tang, Lijing, Thomas Lopdell, В. А. Петров, et al.. (2023). An organism-wide ATAC-seq peak catalog for the bovine and its use to identify regulatory variants. Genome Research. 33(10). 1848–1864. 10 indexed citations
5.
Lee, Young-Lim, Haruko Takeda, Gabriel Costa Monteiro Moreira, et al.. (2021). A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle. PLoS Genetics. 17(7). e1009331–e1009331. 34 indexed citations
6.
Alemu, Setegn Worku, Naveen Kumar Kadri, Chad Harland, et al.. (2020). An evaluation of inbreeding measures using a whole-genome sequenced cattle pedigree. Heredity. 126(3). 410–423. 55 indexed citations
7.
Artesi, Maria, Nico Tamma, Latifa Karim, et al.. (2020). Colour‐sidedness in Gloucester cattle is associated with a complex structural variant impacting regulatory elements downstream of KIT. Animal Genetics. 51(3). 461–465. 4 indexed citations
8.
Boichard, Didier, Mekki Boussaha, Aurélien Capitan, et al.. (2018). Experience from large scale use of the EuroGenomics custom SNP chip in cattle. Prodinra (INRA Bordeaux-Aquitaine). 23 indexed citations
9.
Kadri, Naveen Kumar, Chad Harland, Carole Charlier, et al.. (2018). High resolution mapping of cross-over events in cattle using NGS data. Open Repository and Bibliography (University of Liège). 808. 2 indexed citations
10.
Harland, Chad, Wouter Coppieters, Erik Mullaart, Carole Charlier, & Michel Georges. (2018). Rate of de novo mutation in dairy cattle and potential impact of reproductive technologies. Proceedings of the World Congress on Genetics Applied to Livestock Production. 983. 5 indexed citations
11.
Georges, Michel, Carole Charlier, & Ben J. Hayes. (2018). Harnessing genomic information for livestock improvement. Nature Reviews Genetics. 20(3). 135–156. 240 indexed citations breakdown →
12.
Rosewick, Nicolas, Keith Durkin, Maria Artesi, et al.. (2017). Cis-perturbation of cancer drivers by the HTLV-1/BLV proviruses is an early determinant of leukemogenesis. Nature Communications. 8(1). 15264–15264. 73 indexed citations
14.
Durkin, Keith, Nadine Cambisano, Naïma Ahariz, et al.. (2011). Molecular dissection of the color-sided phenotype in cattle reveals a novel mechanism of chromosome evolution involving circular shuttling intermediates.. Open Repository and Bibliography (University of Liège). 1 indexed citations
15.
Takeda, Haruko, Carole Charlier, Frédéric Farnir, & Michel Georges. (2010). Demonstrating polymorphic miRNA-mediated gene regulation in vivo: Application to the g+6223G→A mutation of Texel sheep. RNA. 16(9). 1854–1863. 10 indexed citations
16.
Vandeputte, Sébastien, Xavier Hubin, Michel Georges, et al.. (2006). Congenital muscular dystonia (CMD): a new congenital pathology in Belgian Blue calves. Open Repository and Bibliography (University of Liège).
17.
Davis, Erica E., Florian Caiment, Xavier Tordoir, et al.. (2005). RNAi-Mediated Allelic trans-Interaction at the Imprinted Rtl1/Peg11 Locus. Current Biology. 15(8). 743–749. 261 indexed citations
19.
Paulsen, Martina, Shuji Takada, Neil A. Youngson, et al.. (2001). Comparative Sequence Analysis of the Imprinted Dlk1–Gtl2 Locus in Three Mammalian Species Reveals Highly Conserved Genomic Elements and Refines Comparison with the Igf2–H19 Region. Genome Research. 11(12). 2085–2094. 108 indexed citations
20.
Charlier, Carole, Frédéric Farnir, Paulette Berzi, et al.. (1996). Identity-by-descent mapping of recessive traits in livestock: application to map the bovine syndactyly locus to chromosome 15.. Genome Research. 6(7). 580–589. 36 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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