Jérôme Salse

15.9k total citations
61 papers, 3.3k citations indexed

About

Jérôme Salse is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jérôme Salse has authored 61 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Plant Science, 28 papers in Molecular Biology and 27 papers in Genetics. Recurrent topics in Jérôme Salse's work include Chromosomal and Genetic Variations (35 papers), Wheat and Barley Genetics and Pathology (23 papers) and Genomics and Phylogenetic Studies (23 papers). Jérôme Salse is often cited by papers focused on Chromosomal and Genetic Variations (35 papers), Wheat and Barley Genetics and Pathology (23 papers) and Genomics and Phylogenetic Studies (23 papers). Jérôme Salse collaborates with scholars based in France, Morocco and United States. Jérôme Salse's co-authors include Caroline Pont, Florent Murat, Umar Masood Quraishi, Michaël Abrouk, Stéphanie Bolot, Richard Cooke, Alix Armero, Michel Delseny, Catherine Feuillet and Joachim Messing and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Jérôme Salse

60 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Salse France 35 2.9k 1.4k 936 374 212 61 3.3k
Ute Baumann Australia 33 3.0k 1.0× 1.4k 1.0× 541 0.6× 108 0.3× 244 1.2× 85 3.5k
Catherine Feuillet France 38 4.4k 1.5× 1.4k 1.0× 1.1k 1.2× 162 0.4× 215 1.0× 76 4.7k
Georg Haberer Germany 30 2.5k 0.9× 1.7k 1.2× 561 0.6× 221 0.6× 81 0.4× 50 3.0k
J. P. Gustafson United States 36 3.4k 1.2× 1.0k 0.7× 748 0.8× 210 0.6× 165 0.8× 122 3.8k
Guangcun He China 40 4.4k 1.5× 2.0k 1.5× 866 0.9× 243 0.6× 62 0.3× 120 5.2k
Jialing Yao China 28 4.4k 1.5× 2.4k 1.8× 1.0k 1.1× 146 0.4× 122 0.6× 64 5.0k
Somvong Tragoonrung Thailand 26 1.7k 0.6× 991 0.7× 651 0.7× 176 0.5× 80 0.4× 59 2.4k
Mahendar Thudi India 39 3.8k 1.3× 486 0.4× 518 0.6× 376 1.0× 236 1.1× 103 4.2k
Ramil Mauleon Philippines 28 3.1k 1.1× 1.0k 0.8× 1.2k 1.2× 98 0.3× 108 0.5× 70 3.5k
Petr Smýkal Czechia 29 2.4k 0.8× 764 0.6× 455 0.5× 369 1.0× 161 0.8× 86 2.8k

Countries citing papers authored by Jérôme Salse

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Salse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Salse

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Salse. A scholar is included among the top collaborators of Jérôme Salse 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 Jérôme Salse. Jérôme Salse 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.
Bellec, Arnaud, Mamadou Dia Sow, Caroline Pont, et al.. (2023). Tracing 100 million years of grass genome evolutionary plasticity. The Plant Journal. 114(6). 1243–1266. 3 indexed citations
2.
Salse, Jérôme. (2023). Translational research from models to crops: comparative genomics for plant breeding. Comptes Rendus Biologies. 345(4). 111–128. 1 indexed citations
3.
Goumy, Carole, Gwendoline Soler, Éléonore Eymard-Pierre, et al.. (2023). Optical genome mapping for prenatal diagnosis: A prospective study. Clinica Chimica Acta. 551. 117594–117594. 12 indexed citations
4.
Armisén, David, Cécile Huneau, Mamadou Dia Sow, et al.. (2023). Low impact of polyploidization on the transcriptome of synthetic allohexaploid wheat. BMC Genomics. 24(1). 255–255. 6 indexed citations
5.
Shi, Tao, Cécile Huneau, Yue Zhang, et al.. (2022). The slow-evolving Acorus tatarinowii genome sheds light on ancestral monocot evolution. Nature Plants. 8(7). 764–777. 31 indexed citations
6.
Djari, Anis, Joseph Tran, Marion Verdenaud, et al.. (2021). Cantaloupe melon genome reveals 3D chromatin features and structural relationship with the ancestral cucurbitaceae karyotype. iScience. 25(1). 103696–103696. 20 indexed citations
7.
Civáň, Peter, et al.. (2021). Episodes of gene flow and selection during the evolutionary history of domesticated barley. BMC Genomics. 22(1). 227–227. 12 indexed citations
8.
Sow, Mamadou Dia, Isabel Allona, Christophe Ambroise, et al.. (2018). Chapter twelve - epigenetics in forest trees: state of the art and potential implications for breeding and management in a context of climate change.. 88. 387–453. 9 indexed citations
9.
Pont, Caroline & Jérôme Salse. (2017). Wheat paleohistory created asymmetrical genomic evolution. Current Opinion in Plant Biology. 36. 29–37. 33 indexed citations
10.
Salse, Jérôme. (2016). Ancestors of modern plant crops. Current Opinion in Plant Biology. 30. 134–142. 42 indexed citations
11.
Salse, Jérôme, et al.. (2015). Function annotation enrichment assisting function prediction of plant genes.. 4. 39–42. 2 indexed citations
12.
Murat, Florent, Alexandra Louis, Florian Maumus, et al.. (2015). Understanding Brassicaceae evolution through ancestral genome reconstruction. Genome biology. 16(1). 262–262. 74 indexed citations
13.
Valluru, Ravi, Matthew Reynolds, & Jérôme Salse. (2014). Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat. Theoretical and Applied Genetics. 127(7). 1463–1489. 38 indexed citations
14.
Murat, Florent, Rongzhi Zhang, Sébastien Guizard, et al.. (2013). Shared Subgenome Dominance Following Polyploidization Explains Grass Genome Evolutionary Plasticity from a Seven Protochromosome Ancestor with 16K Protogenes. Genome Biology and Evolution. 6(1). 12–33. 62 indexed citations
15.
Salse, Jérôme. (2012). In silico archeogenomics unveils modern plant genome organisation, regulation and evolution. Current Opinion in Plant Biology. 15(2). 122–130. 46 indexed citations
16.
Bodénès, Catherine, Émilie Chancerel, Oliver Gailing, et al.. (2012). Comparative mapping in the Fagaceae and beyond with EST-SSRs. BMC Plant Biology. 12(1). 153–153. 42 indexed citations
17.
Murat, Florent, Jian‐Hong Xu, Éric Tannier, et al.. (2010). Ancestral grass karyotype reconstruction unravels new mechanisms of genome shuffling as a source of plant evolution. Genome Research. 20(11). 1545–1557. 155 indexed citations
18.
Quraishi, Umar Masood, Florent Murat, Michaël Abrouk, et al.. (2010). Combined meta-genomics analyses unravel candidate genes for the grain dietary fiber content in bread wheat (Triticum aestivum L.). Functional & Integrative Genomics. 11(1). 71–83. 60 indexed citations
19.
Salse, Jérôme, Michaël Abrouk, Florent Murat, Umar Masood Quraishi, & Catherine Feuillet. (2009). Improved criteria and comparative genomics tool provide new insights into grass paleogenomics. Briefings in Bioinformatics. 10(6). 619–630. 40 indexed citations
20.
Chantret, Nathalie, Jérôme Salse, François Sabot, et al.. (2005). Molecular Basis of Evolutionary Events That Shaped the Hardness Locus in Diploid and Polyploid Wheat Species (Triticum and Aegilops). The Plant Cell. 17(4). 1033–1045. 289 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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