Bernard Jacq

4.1k total citations · 1 hit paper
22 papers, 2.1k citations indexed

About

Bernard Jacq is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Bernard Jacq has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Genetics. Recurrent topics in Bernard Jacq's work include Bioinformatics and Genomic Networks (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and RNA and protein synthesis mechanisms (5 papers). Bernard Jacq is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and RNA and protein synthesis mechanisms (5 papers). Bernard Jacq collaborates with scholars based in France, Switzerland and Germany. Bernard Jacq's co-authors include Christine Brun, François Chevenet, Anne‐Laure Bañuls, Richard Christen, David Martin, Stephen Kerridge, Élisabeth Rémy, Denis Thieffry, Bertrand Jordan and Alain Guénoche and has published in prestigious journals such as Cell, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Bernard Jacq

21 papers receiving 2.0k citations

Hit Papers

TreeDyn: towards dynamic graphics and annotations for ana... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Jacq France 15 1.6k 384 235 156 152 22 2.1k
Todd Harris United States 13 1.7k 1.1× 520 1.4× 353 1.5× 146 0.9× 276 1.8× 16 2.4k
Alan Christoffels South Africa 26 1.5k 1.0× 362 0.9× 564 2.4× 137 0.9× 132 0.9× 98 2.6k
Christian Iseli Switzerland 30 2.1k 1.3× 589 1.5× 550 2.3× 175 1.1× 152 1.0× 60 3.1k
Stephen M. J. Searle United Kingdom 11 1.5k 1.0× 391 1.0× 371 1.6× 160 1.0× 144 0.9× 12 2.1k
J.A.M. Leunissen Netherlands 17 1.8k 1.2× 756 2.0× 607 2.6× 266 1.7× 324 2.1× 29 3.5k
Alexander Rosenberg Johansen Denmark 11 1.2k 0.8× 464 1.2× 184 0.8× 242 1.6× 163 1.1× 13 2.2k
Sébastien Moretti Switzerland 16 1.6k 1.0× 357 0.9× 362 1.5× 217 1.4× 106 0.7× 28 2.3k
Grzegorz M. Boratyn United States 6 1.1k 0.7× 383 1.0× 240 1.0× 295 1.9× 108 0.7× 14 2.0k
Dannie Durand United States 17 1.1k 0.7× 504 1.3× 443 1.9× 122 0.8× 74 0.5× 37 1.5k

Countries citing papers authored by Bernard Jacq

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Jacq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Jacq

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Jacq. A scholar is included among the top collaborators of Bernard Jacq 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 Bernard Jacq. Bernard Jacq 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.
Caubit, Xavier, Pierre L. Roubertoux, Michèle Carlier, et al.. (2019). Postnatal Tshz3 Deletion Drives Altered Corticostriatal Function and Autism Spectrum Disorder–like Behavior. Biological Psychiatry. 86(4). 274–285. 16 indexed citations
2.
Baudot, Anaı̈s, et al.. (2008). Defining a Modular Signalling Network from the Fly Interactome. BMC Systems Biology. 2(1). 45–45. 8 indexed citations
3.
Chevenet, François, Christine Brun, Anne‐Laure Bañuls, Bernard Jacq, & Richard Christen. (2006). TreeDyn: towards dynamic graphics and annotations for analyses of trees. BMC Bioinformatics. 7(1). 439–439. 877 indexed citations breakdown →
4.
Baudot, Anaı̈s, David Martin, François Chevenet, et al.. (2005). PRODISTIN Web Site: a tool for the functional classification of proteins from interaction networks. Bioinformatics. 22(2). 248–250. 11 indexed citations
5.
Martin, David, et al.. (2004). GOToolBox: functional analysis of gene datasets based on Gene Ontology. Genome biology. 5(12). R101–R101. 276 indexed citations
6.
Baudot, Anaı̈s, Bernard Jacq, & Christine Brun. (2004). A scale of functional divergence for yeast duplicated genes revealed from analysis of the protein-protein interaction network.. Genome Biology. 5(10). R76–R76. 32 indexed citations
7.
Brun, Christine, François Chevenet, David Martin, et al.. (2003). Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network. Genome biology. 5(1). R6–R6. 197 indexed citations
8.
Brun, Christine, Alain Guénoche, & Bernard Jacq. (2003). Approach of the functional evolution of duplicated genes in Saccharomyces cerevisiae using a new classification method based on protein-protein interaction data. Journal of Structural and Functional Genomics. 3(1-4). 213–224. 6 indexed citations
9.
Mugat, Bruno, et al.. (2003). Genome-wide identification of in vivoDrosophilaEngrailed-binding DNA fragments and related target genes. Development. 130(7). 1243–1254. 39 indexed citations
10.
Jacq, Bernard & Denis Thieffry. (2000). Modéliser les réseaux de gènes. Biofutur. 2000(206). 66–71.
11.
Rechenmann, François, et al.. (1998). Detecting Gene Symbols and Names in Biological Texts: A First Step toward Pertinent Information Extraction.. PubMed. 9. 72–80. 111 indexed citations
12.
Graba, Yacine, Laurent Fasano, Armel Gallet, et al.. (1996). The Drosophila Teashirt homeotic protein is a DNA-binding protein and modulo, a HOM-C regulated modifier of variegation, is a likely candidate for being a direct target gene. Mechanisms of Development. 59(2). 191–204. 45 indexed citations
13.
Jacq, Bernard, et al.. (1994). Homeotic complex and teashirt genes co-operate to establish trunk segmental identities in Drosophila. Development. 120(8). 2287–2296. 60 indexed citations
14.
Fasano, Laurent, Laurence Röder, Nathalie Coré, et al.. (1991). The gene teashirt is required for the development of Drosophila embryonic trunk segments and encodes a protein with widely spaced zinc finger motifs. Cell. 64(1). 63–79. 181 indexed citations
16.
Michel, Christian, Bernard Jacq, Didier Arquès, & Thomas A. Bickle. (1986). A remarkable amino acid sequence homology between a phage T4 tail fibre protein and ORF314 of phage λ located in the tail operon. Gene. 44(1). 147–150. 13 indexed citations
17.
Giorgi, Dominique, et al.. (1984). Apple II Pascal programs for molecular biologists. Nucleic Acids Research. 12(1Part2). 569–579. 16 indexed citations
18.
Jacq, Bernard. (1981). Sequence homologies between eukaryotic 5.8S rRNA and the 5′ end of prokaryotic 23S rRNA: evidences for a common evolutionary origin. Nucleic Acids Research. 9(12). 2913–2932. 55 indexed citations
19.
Jacq, Bernard, et al.. (1977). Structure and processing of precursor 5 S RNA in Drosophila melanogaster. Journal of Molecular Biology. 117(3). 785–795. 55 indexed citations
20.
Jordan, Bertrand, et al.. (1976). Late steps in the maturation of Drosophila 26 S ribosomal RNA: Generation of 5.8 S and 2 S RNAs by cleavages occurring in the cytoplasm. Journal of Molecular Biology. 101(1). 85–105. 78 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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