Fabienne Marcq

2.0k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Fabienne Marcq is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Fabienne Marcq has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Fabienne Marcq's work include Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Cancer-related molecular mechanisms research (2 papers). Fabienne Marcq is often cited by papers focused on Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Cancer-related molecular mechanisms research (2 papers). Fabienne Marcq collaborates with scholars based in Belgium, Morocco and France. Fabienne Marcq's co-authors include Michel Georges, Élisabeth Laville, Francis Eychenne, Bernard B. Bibé, Catherine Larzul, Jean-Michel Elsen, Florian Caiment, Xavier Tordoir, Dimitri Pirottin and James F. Tobin and has published in prestigious journals such as Nature Genetics, Genome Research and Journal of Animal Science.

In The Last Decade

Fabienne Marcq

8 papers receiving 1.5k citations

Hit Papers

A mutation creating a potential illegitimate microRNA tar... 2006 2026 2012 2019 2006 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
Fabienne Marcq Belgium 7 893 852 469 217 129 8 1.6k
Jean-Michel Elsen France 17 1.2k 1.3× 818 1.0× 434 0.9× 133 0.6× 136 1.1× 38 1.9k
Noelle Cockett United States 22 1.3k 1.5× 1.4k 1.6× 460 1.0× 150 0.7× 83 0.6× 37 2.1k
Bernard B. Bibé France 14 945 1.1× 630 0.7× 417 0.9× 60 0.3× 154 1.2× 32 1.5k
Francis Eychenne France 15 1.3k 1.5× 543 0.6× 409 0.9× 51 0.2× 126 1.0× 25 1.8k
Qianzi Tang China 23 1.4k 1.6× 466 0.5× 791 1.7× 138 0.6× 111 0.9× 75 2.0k
Anan Jiang China 23 809 0.9× 486 0.6× 691 1.5× 64 0.3× 190 1.5× 79 1.5k
Lixin Du China 23 627 0.7× 1.1k 1.3× 532 1.1× 171 0.8× 75 0.6× 97 1.7k
Zhonglin Tang China 24 1.5k 1.7× 445 0.5× 1.0k 2.2× 61 0.3× 116 0.9× 98 1.9k
Fuping Zhao China 24 526 0.6× 1.5k 1.7× 622 1.3× 260 1.2× 105 0.8× 72 1.9k
Juliette Riquet France 19 1.3k 1.4× 1.6k 1.9× 198 0.4× 385 1.8× 293 2.3× 50 2.6k

Countries citing papers authored by Fabienne Marcq

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Marcq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabienne Marcq

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

All Works

8 of 8 papers shown
1.
Georges, Michel, Alex Clop, Fabienne Marcq, et al.. (2006). Polymorphic Polymorphic MicroRNA-Target Interactions: A Novel Source of Phenotypic Variation. Cold Spring Harbor Symposia on Quantitative Biology. 71(0). 343–350. 41 indexed citations
2.
Clop, Alex, Fabienne Marcq, Haruko Takeda, et al.. (2006). A mutation creating a potential illegitimate microRNA target site in the myostatin gene affects muscularity in sheep. Nature Genetics. 38(7). 813–818. 1016 indexed citations breakdown →
3.
Laville, Élisabeth, J. Bouix, Thierry Sayd, et al.. (2004). Effects of a quantitative trait locus for muscle hypertrophy from Belgian Texel sheep on carcass conformation and muscularity. Journal of Animal Science. 82(11). 3128–3137. 49 indexed citations
4.
Laville, Élisabeth, J. Bouix, Thierry Sayd, et al.. (2002). La conformation bouchère des agneaux. Etude d’après la variabilité génétique entre races. INRAE Productions Animales. 15(1). 53–66. 21 indexed citations
5.
Farnir, Frédéric, Wouter Coppieters, Juan-José Arranz, et al.. (2000). Extensive Genome-wide Linkage Disequilibrium in Cattle. Genome Research. 10(2). 220–227. 293 indexed citations
6.
Marcq, Fabienne, J. Detilleux, & Pascal Leroy. (1999). Growth performance of Texel lambs in Belgium: estimation of non-genetic and genetic factors.. Annales de médecine vétérinaire. 143(2). 125–130. 1 indexed citations
7.
Coppieters, Wouter, Paulette Berzi, Nadine Cambisano, et al.. (1998). A QTL affecting milk yield and composition maps to bovine chromosome 20: a confirmation. Animal Genetics. 29(2). 107–115. 60 indexed citations
8.
Coppieters, Wouter, Juliette Riquet, Paulette Berzi, et al.. (1998). A QTL with major effect on milk yield and composition maps to bovine Chromosome 14. Mammalian Genome. 9(7). 540–544. 122 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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