Jacques Dainat

2.0k total citations · 1 hit paper
44 papers, 866 citations indexed

About

Jacques Dainat is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jacques Dainat has authored 44 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jacques Dainat's work include Mitochondrial Function and Pathology (12 papers), Thyroid Disorders and Treatments (11 papers) and Genomics and Phylogenetic Studies (10 papers). Jacques Dainat is often cited by papers focused on Mitochondrial Function and Pathology (12 papers), Thyroid Disorders and Treatments (11 papers) and Genomics and Phylogenetic Studies (10 papers). Jacques Dainat collaborates with scholars based in France, Sweden and United States. Jacques Dainat's co-authors include Jens C. Frisvad, Kristian Fog Nielsen, Mhairi Workman, Jens Nielsen, Boyang Ji, Sietske Grijseels, Sylvain Prigent, Jens Nielsen, J. Legrand and Guangyuan Li and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Current Biology.

In The Last Decade

Jacques Dainat

41 papers receiving 834 citations

Hit Papers

TEsorter: An accurate and fast method to classify LTR-ret... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. TEsorter: An accurate and fast method to classify LTR-retrotransposons in plant genomes
    2022 131 citations Rengang Zhang, Guangyuan Li et al. Horticulture Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Dainat France 13 445 308 151 118 106 44 866
S. Ramaswamy United States 20 316 0.7× 264 0.9× 227 1.5× 57 0.5× 71 0.7× 80 1.1k
C. Collet Australia 15 451 1.0× 351 1.1× 208 1.4× 46 0.4× 51 0.5× 30 800
Dominique Langlois France 22 171 0.4× 339 1.1× 93 0.6× 41 0.3× 22 0.2× 38 1.2k
M. Sironi Italy 9 156 0.4× 180 0.6× 69 0.5× 150 1.3× 32 0.3× 12 620
Tzi‐Yuan Wang Taiwan 19 748 1.7× 229 0.7× 272 1.8× 94 0.8× 13 0.1× 72 1.2k
Jun‐ichi OKUMURA Japan 23 557 1.3× 142 0.5× 332 2.2× 21 0.2× 163 1.5× 144 2.1k
Bo Huang China 21 635 1.4× 326 1.1× 69 0.5× 110 0.9× 12 0.1× 76 1.2k
Takayuki Watanabe Japan 20 256 0.6× 88 0.3× 112 0.7× 39 0.3× 30 0.3× 67 964
Juan José Acevedo‐Fernández Mexico 19 509 1.1× 126 0.4× 86 0.6× 35 0.3× 98 0.9× 48 1.3k
Marisol Vargas Chile 20 269 0.6× 508 1.6× 246 1.6× 26 0.2× 20 0.2× 50 1.1k

Countries citing papers authored by Jacques Dainat

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Dainat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Dainat

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Dainat. A scholar is included among the top collaborators of Jacques Dainat 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 Jacques Dainat. Jacques Dainat 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.
2.
Hayer, Juliette, et al.. (2023). Baargin: a Nextflow workflow for the automatic analysisof bacterial genomics data with a focus on AntimicrobialResistance. The Journal of Open Source Software. 8(90). 5397–5397. 3 indexed citations
3.
Zhang, Rengang, Guangyuan Li, Xiaoling Wang, et al.. (2022). TEsorter: An accurate and fast method to classify LTR-retrotransposons in plant genomes. Horticulture Research. 9. 131 indexed citations breakdown →
4.
Fracassetti, Marco, Emma L. Berdan, Ignas Bunikis, et al.. (2022). Genomic analyses of the Linum distyly supergene reveal convergent evolution at the molecular level. Current Biology. 32(20). 4360–4371.e6. 37 indexed citations
5.
Slotte, Tanja, et al.. (2021). Genome assemblies of three closely related leaf beetle species ( Galerucella spp.). G3 Genes Genomes Genetics. 11(8). 2 indexed citations
6.
Almeida, Pedro, Estelle Proux‐Wéra, Allison Churcher, et al.. (2020). Genome assembly of the basket willow, Salix viminalis, reveals earliest stages of sex chromosome expansion. BMC Biology. 18(1). 78–78. 41 indexed citations
7.
Tiukova, Ievgeniia, Mats E. Pettersson, Marc P. Hoeppner, et al.. (2019). Chromosomal genome assembly of the ethanol production strain CBS 11270 indicates a highly dynamic genome structure in the yeast species Brettanomyces bruxellensis. PLoS ONE. 14(5). e0215077–e0215077. 8 indexed citations
8.
Glémin, Sylvain, Céline Scornavacca, Jacques Dainat, et al.. (2019). Pervasive hybridizations in the history of wheat relatives. Science Advances. 5(5). eaav9188–eaav9188. 71 indexed citations
9.
Sayadi, Ahmed, Álvaro Martínez Barrio, Elina Immonen, et al.. (2019). The genomic footprint of sexual conflict. Nature Ecology & Evolution. 3(12). 1725–1730. 62 indexed citations
10.
Jareborg, Niclas, et al.. (2018). EMBLmyGFF3: a converter facilitating genome annotation submission to European Nucleotide Archive. BMC Research Notes. 11(1). 584–584. 17 indexed citations
11.
Nielsen, Jens, Sietske Grijseels, Sylvain Prigent, et al.. (2017). Global analysis of biosynthetic gene clusters reveals vast potential of secondary metabolite production in Penicillium species. Nature Microbiology. 2(6). 17044–17044. 196 indexed citations
12.
Moreno, Antonio D., Christian Tellgren‐Roth, Lucile Solér, et al.. (2017). Complete Genome Sequences of the Xylose-Fermenting Candida intermedia Strains CBS 141442 and PYCC 4715. Genome Announcements. 5(14). 8 indexed citations
13.
Fischer, Iris, Jacques Dainat, Vincent Ranwez, et al.. (2014). Impact of recurrent gene duplication on adaptation of plant genomes. BMC Plant Biology. 14(1). 151–151. 23 indexed citations
14.
Zamani, Neda, Görel Sundström, Jennifer R. S. Meadows, et al.. (2014). A universal genomic coordinate translator for comparative genomics. BMC Bioinformatics. 15(1). 227–227. 4 indexed citations
15.
Dainat, Jacques, Julien Paganini, Pierre Pontarotti, & Philippe Gouret. (2012). GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes. PLoS ONE. 7(6). e38792–e38792. 5 indexed citations
16.
Dainat, Jacques, et al.. (1991). Effects of thyroid state alterations in ovo on the plasma levels of thyroid hormones and on the populations of fibers in the plantaris muscle of male and female chickens. annales de biologie animale biochimie biophysique. 31(6). 703–716. 7 indexed citations
17.
Vigneron, P., Jacques Dainat, & Francis Bacou. (1989). [Properties of skeletal muscle fibers. II. Hormonal influences].. PubMed. 29(1). 27–53. 7 indexed citations
18.
Lefaucheur, Louis, Jacques Dainat, & P. Vigneron. (1988). Postnatal changes in insulin binding in slow and fast-twitch rabbit skeletal muscles. annales de biologie animale biochimie biophysique. 28(3B). 821–822. 2 indexed citations
19.
20.
Dainat, Jacques & J. Legrand. (1971). [Influence of neonatal hyperthyroidism on the in vivo incorporation of L 3 H-leucine in cerebellar proteins of young rats].. PubMed. 165(6). 1377–81. 2 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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