Bruno Mugat

1.3k total citations
24 papers, 974 citations indexed

About

Bruno Mugat is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bruno Mugat has authored 24 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Plant Science and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bruno Mugat's work include Chromosomal and Genetic Variations (11 papers), Neurobiology and Insect Physiology Research (7 papers) and CRISPR and Genetic Engineering (7 papers). Bruno Mugat is often cited by papers focused on Chromosomal and Genetic Variations (11 papers), Neurobiology and Insect Physiology Research (7 papers) and CRISPR and Genetic Engineering (7 papers). Bruno Mugat collaborates with scholars based in France, United States and United Kingdom. Bruno Mugat's co-authors include Christophe Antoniewski, Jean‐Antoine Lepesant, Séverine Chambeyron, Jean‐Yves Roignant, Alain Pélisson, Clément Carré, Frédéric Delbac, Christine Brun, Claudia Armenise and Vincent Serrano and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Bruno Mugat

24 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Mugat France 18 683 354 293 182 157 24 974
Susan E. St. Pierre United States 8 747 1.1× 146 0.4× 337 1.2× 206 1.1× 108 0.7× 8 1.0k
Clément Carré France 16 882 1.3× 287 0.8× 465 1.6× 239 1.3× 185 1.2× 28 1.5k
Kenneth H. Wan United States 10 591 0.9× 222 0.6× 150 0.5× 158 0.9× 84 0.5× 23 796
Xiangyu Song United States 10 414 0.6× 268 0.8× 438 1.5× 170 0.9× 219 1.4× 10 1.0k
G. Korge Germany 15 887 1.3× 300 0.8× 387 1.3× 341 1.9× 131 0.8× 19 1.3k
Giulia Antonazzo United Kingdom 6 435 0.6× 105 0.3× 159 0.5× 155 0.9× 124 0.8× 9 699
Baosheng Zeng China 17 579 0.8× 116 0.3× 268 0.9× 240 1.3× 521 3.3× 22 914
Alix J. Rey United Kingdom 6 417 0.6× 103 0.3× 150 0.5× 154 0.8× 121 0.8× 6 660
Junko Narukawa Japan 12 485 0.7× 178 0.5× 289 1.0× 176 1.0× 480 3.1× 19 938
Danielle C. Hamm United States 9 852 1.2× 169 0.5× 143 0.5× 169 0.9× 148 0.9× 12 989

Countries citing papers authored by Bruno Mugat

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Mugat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Mugat

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Mugat. A scholar is included among the top collaborators of Bruno Mugat 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 Bruno Mugat. Bruno Mugat 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.
Mugat, Bruno, et al.. (2025). Temporal and spatial niche partitioning in a retrotransposon community of the Drosophila melanogaster genome. Nucleic Acids Research. 53(11). 1 indexed citations
2.
Mugat, Bruno, et al.. (2025). The histone demethylase dLsd1 regulates organ size by silencing transposable elements. Communications Biology. 8(1). 272–272. 1 indexed citations
4.
Mugat, Bruno, Simon Nicot, Christophe Jourdan, et al.. (2020). The Mi-2 nucleosome remodeler and the Rpd3 histone deacetylase are involved in piRNA-guided heterochromatin formation. Nature Communications. 11(1). 2818–2818. 28 indexed citations
5.
Barckmann, Bridlin, Alain Pélisson, Bruno Mugat, et al.. (2018). The somatic piRNA pathway controls germline transposition over generations. Nucleic Acids Research. 46(18). 9524–9536. 36 indexed citations
6.
Lacroix, Vincent, Nelly Burlet, Bruno Mugat, et al.. (2017). Identification of misexpressed genetic elements in hybrids between Drosophila-related species. Scientific Reports. 7(1). 40618–40618. 25 indexed citations
7.
Mugat, Bruno, Bridlin Barckmann, Blaise Li, et al.. (2017). Piwi Is Required during Drosophila Embryogenesis to License Dual-Strand piRNA Clusters for Transposon Repression in Adult Ovaries. Molecular Cell. 66(3). 411–419.e4. 55 indexed citations
8.
Modolo, Laurent, et al.. (2017). Transposable Element Misregulation Is Linked to the Divergence between Parental piRNA Pathways in Drosophila Hybrids. Genome Biology and Evolution. 9(6). 1450–1470. 23 indexed citations
9.
Mugat, Bruno, Vincent Serrano, Claudia Armenise, et al.. (2015). MicroRNA-Dependent Transcriptional Silencing of Transposable Elements in Drosophila Follicle Cells. PLoS Genetics. 11(5). e1005194–e1005194. 18 indexed citations
10.
Grentzinger, Thomas, Claudia Armenise, Alain Pélisson, et al.. (2013). A user-friendly chromatographic method to purify small regulatory RNAs. Methods. 67(1). 91–101. 8 indexed citations
11.
Grentzinger, Thomas, Claudia Armenise, Christine Brun, et al.. (2012). piRNA-mediated transgenerational inheritance of an acquired trait. Genome Research. 22(10). 1877–1888. 119 indexed citations
12.
Layalle, Sophie, Michel Volovitch, Bruno Mugat, et al.. (2011). Engrailed homeoprotein acts as a signaling molecule in the developing fly. Development. 138(11). 2315–2323. 49 indexed citations
13.
Mugat, Bruno, et al.. (2008). Protective role of Engrailed in a Drosophila model of Huntington's disease. Human Molecular Genetics. 17(22). 3601–3616. 23 indexed citations
14.
Mugat, Bruno, et al.. (2006). Engrailed controls the organization of the ventral nerve cord through frazzled regulation. Developmental Biology. 301(2). 542–554. 19 indexed citations
15.
Mugat, Bruno, et al.. (2003). Genome-wide identification of in vivo Drosophila Engrailed-binding DNA fragments and related target genes. 1 indexed citations
16.
Roignant, Jean‐Yves, et al.. (2003). Absence of transitive and systemic pathways allows cell-specific and isoform-specific RNAi in Drosophila. RNA. 9(3). 299–308. 196 indexed citations
17.
Pokholkova, Galina V., et al.. (2002). Isolation and characterization of novel mutations of the Broad-Complex, a key regulatory gene of ecdysone induction in Drosophila melanogaster. Insect Biochemistry and Molecular Biology. 32(2). 121–132. 20 indexed citations
18.
Mugat, Bruno, Véronique Brodu, Jana Kejzlarová‐Lepesant, et al.. (2000). Dynamic Expression of Broad-Complex Isoforms Mediates Temporal Control of an Ecdysteroid Target Gene at the Onset of Drosophila Metamorphosis. Developmental Biology. 227(1). 104–117. 55 indexed citations
19.
Brodu, Véronique, Bruno Mugat, Jean‐Yves Roignant, Jean‐Antoine Lepesant, & Christophe Antoniewski. (1999). Dual Requirement for the EcR/USP Nuclear Receptor and the dGATAb Factor in an Ecdysone Response in Drosophila melanogaster. Molecular and Cellular Biology. 19(8). 5732–5742. 34 indexed citations
20.
Antoniewski, Christophe, Bruno Mugat, Frédéric Delbac, & Jean‐Antoine Lepesant. (1996). Direct Repeats Bind the EcR/USP Receptor and Mediate Ecdysteroid Responses in Drosophila melanogaster. Molecular and Cellular Biology. 16(6). 2977–2986. 88 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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