Dany Séverac

3.6k total citations
65 papers, 2.3k citations indexed

About

Dany Séverac is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Dany Séverac has authored 65 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 21 papers in Plant Science and 15 papers in Genetics. Recurrent topics in Dany Séverac's work include Neurobiology and Insect Physiology Research (8 papers), Legume Nitrogen Fixing Symbiosis (8 papers) and CRISPR and Genetic Engineering (7 papers). Dany Séverac is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Legume Nitrogen Fixing Symbiosis (8 papers) and CRISPR and Genetic Engineering (7 papers). Dany Séverac collaborates with scholars based in France, Morocco and United States. Dany Séverac's co-authors include Laurent Journot, Emeric Dubois, Cindy Aknin, Anne Le Digarcher, Annie Varrault, Laëtitia Chotard, Philippe Lashermes, Monsef Benkirane, Raoul Raffel and Souheir Houssami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Dany Séverac

63 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dany Séverac France 26 1.3k 670 574 239 219 65 2.3k
Maja Tarailo‐Graovac Canada 20 2.1k 1.7× 945 1.4× 1.1k 1.8× 180 0.8× 198 0.9× 58 3.3k
J. Robert Manak United States 31 2.3k 1.8× 696 1.0× 382 0.7× 133 0.6× 190 0.9× 68 2.9k
Yemin Lan United States 26 1.9k 1.5× 446 0.7× 209 0.4× 121 0.5× 144 0.7× 49 2.6k
Peder Zipperlen Switzerland 8 4.5k 3.5× 744 1.1× 576 1.0× 209 0.9× 212 1.0× 10 6.4k
Adrian Alexa Germany 8 1.2k 1.0× 350 0.5× 432 0.8× 90 0.4× 189 0.9× 8 2.1k
Sha Tang China 36 2.1k 1.7× 1.1k 1.7× 1.5k 2.5× 58 0.2× 164 0.7× 126 4.0k
Michael S. Campbell United States 20 1.2k 1.0× 449 0.7× 549 1.0× 67 0.3× 108 0.5× 28 2.0k
Julien Roux Switzerland 24 847 0.7× 373 0.6× 256 0.4× 110 0.5× 265 1.2× 56 1.7k
Wan‐Xi Yang China 35 1.4k 1.1× 682 1.0× 275 0.5× 53 0.2× 336 1.5× 122 3.5k
James B. Stewart Germany 38 4.5k 3.5× 952 1.4× 256 0.4× 276 1.2× 104 0.5× 60 5.3k

Countries citing papers authored by Dany Séverac

Since Specialization
Citations

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

Fields of papers citing papers by Dany Séverac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dany Séverac

This figure shows the co-authorship network connecting the top 25 collaborators of Dany Séverac. A scholar is included among the top collaborators of Dany Séverac 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 Dany Séverac. Dany Séverac 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.
Hannemann, Nicole, Monique Chambon, Dany Séverac, et al.. (2025). Monocyte‐Derived Macrophages‐Synovial Fibroblasts Crosstalk Unravels Oncostatin Signaling Network as a Driver of Synovitis in Osteoarthritis. Arthritis & Rheumatology. 78(1). 105–118. 2 indexed citations
2.
Barateau, Lucie, Lisa Ann Gerdes, Dany Séverac, et al.. (2024). Single cell transcriptomics of cerebrospinal fluid cells from patients with recent-onset narcolepsy. Journal of Autoimmunity. 146. 103234–103234. 4 indexed citations
3.
Séverac, Dany, Kyle J. Martin, Christophe Klopp, et al.. (2024). Analysis of a shark reveals ancient, Wnt-dependent, habenular asymmetries in vertebrates. Nature Communications. 15(1). 10194–10194.
4.
Faucherre, Adèle, et al.. (2022). The regenerative response of cardiac interstitial cells. Journal of Molecular Cell Biology. 14(10). 9 indexed citations
5.
Jouneau, Luc, Catherine Archilla, Irène Aksoy, et al.. (2022). Major transcriptomic, epigenetic and metabolic changes underlie the pluripotency continuum in rabbit preimplantation embryos. Development. 149(17). 7 indexed citations
6.
Turtoi, Evgenia, Marie‐Alix Poul, Marine Pratlong, et al.. (2022). The landscape of cancer-associated fibroblasts in colorectal cancer liver metastases. Theranostics. 12(17). 7624–7639. 43 indexed citations
7.
Pervent, Marjorie, Marie‐Françoise Jardinaud, Dany Séverac, et al.. (2021). Systemic control of nodule formation by plant nitrogen demand requires autoregulation-dependent and independent mechanisms. Journal of Experimental Botany. 72(22). 7942–7956. 9 indexed citations
8.
Laplace-Builhe, Béryl, Saïd Assou, Marine Pratlong, et al.. (2021). NRG1/ErbB signalling controls the dialogue between macrophages and neural crest-derived cells during zebrafish fin regeneration. Nature Communications. 12(1). 6336–6336. 17 indexed citations
9.
Thomas, Aubin, et al.. (2020). TALC: Transcript-level Aware Long-read Correction. Bioinformatics. 36(20). 5000–5006. 11 indexed citations
10.
Breitler, Jean‐Christophe, Sophie Léran, Lucile Toniutti, et al.. (2020). Full moonlight-induced circadian clock entrainment in Coffea arabica. BMC Plant Biology. 20(1). 24–24. 16 indexed citations
11.
Yamagishi, M. E. B., et al.. (2020). Transcriptome of tambaqui Colossoma macropomum during gonad differentiation: Different molecular signals leading to sex identity. Genomics. 112(3). 2478–2488. 17 indexed citations
12.
13.
Mondet, Fanny, Andréa Rau, Christophe Klopp, et al.. (2018). Transcriptome profiling of the honeybee parasite Varroa destructor provides new biological insights into the mite adult life cycle. BMC Genomics. 19(1). 328–328. 28 indexed citations
14.
Ceolin, Laura, Nathalie Bouquier, Stéphanie Rialle, et al.. (2017). Cell Type-Specific mRNA Dysregulation in Hippocampal CA1 Pyramidal Neurons of the Fragile X Syndrome Mouse Model. Frontiers in Molecular Neuroscience. 10. 340–340. 29 indexed citations
15.
Cribier, Alexandra, Raoul Raffel, Sonia Amraoui, et al.. (2017). HEXIM1 and NEAT1 Long Non-coding RNA Form a Multi-subunit Complex that Regulates DNA-Mediated Innate Immune Response. Molecular Cell. 67(3). 387–399.e5. 181 indexed citations
16.
Bonneaud, Nathalie, Sophie Layalle, Christophe Jourdan, et al.. (2017). Control of nerve cord formation by Engrailed and Gooseberry-Neuro: A multi-step, coordinated process. Developmental Biology. 432(2). 273–285. 2 indexed citations
17.
Rojas‐Ríos, Patricia, Aymeric Chartier, Stéphanie Pierson, et al.. (2015). Translational Control of Autophagy by Orb in the Drosophila Germline. Developmental Cell. 35(5). 622–631. 24 indexed citations
18.
Brunel, Brigitte, Damien Mornico, Maxime Durot, et al.. (2013). Genome-wide transcriptional responses of two metal-tolerant symbiotic Mesorhizobium isolates to Zinc and Cadmium exposure. BMC Genomics. 14(1). 292–292. 51 indexed citations
19.
Privat, Isabelle, Amélie Bardil, Aureliano Bombarely, et al.. (2011). The 'PUCE CAFE' Project: the First 15K Coffee Microarray, a New Tool for Discovering Candidate Genes correlated to Agronomic and Quality Traits. BMC Genomics. 12(1). 5–5. 24 indexed citations
20.
Zeitouni, Bruno, Sébastien Senatore, Dany Séverac, et al.. (2007). Signalling Pathways Involved in Adult Heart Formation Revealed by Gene Expression Profiling in Drosophila. PLoS Genetics. 3(10). e174–e174. 58 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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