Stéphane Muños

5.9k total citations
41 papers, 2.5k citations indexed

About

Stéphane Muños is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Stéphane Muños has authored 41 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 9 papers in Molecular Biology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Stéphane Muños's work include Plant Parasitism and Resistance (15 papers), Sunflower and Safflower Cultivation (10 papers) and Plant Molecular Biology Research (9 papers). Stéphane Muños is often cited by papers focused on Plant Parasitism and Resistance (15 papers), Sunflower and Safflower Cultivation (10 papers) and Plant Molecular Biology Research (9 papers). Stéphane Muños collaborates with scholars based in France, Spain and United States. Stéphane Muños's co-authors include Mathilde Causse, Alaín Gojon, Nicolas Ranc, Esther van der Knaap, Xavier Gansel, Weijun Zhou, Faisal Islam, Sophie Rolland, Nicolas Pouilly and Ling Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Stéphane Muños

38 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Muños France 22 2.0k 856 437 162 139 41 2.5k
Dawei Xue China 27 3.0k 1.5× 1.2k 1.4× 745 1.7× 174 1.1× 127 0.9× 90 3.4k
Muhammad Amjad Nawaz Russia 28 1.9k 0.9× 882 1.0× 360 0.8× 113 0.7× 114 0.8× 81 2.5k
Jin Hu China 32 2.7k 1.3× 751 0.9× 279 0.6× 99 0.6× 191 1.4× 100 3.2k
Supratim Basu United States 21 1.6k 0.8× 617 0.7× 123 0.3× 72 0.4× 61 0.4× 48 2.0k
Jeffrey F. D. Dean United States 30 2.2k 1.1× 1.4k 1.6× 172 0.4× 132 0.8× 48 0.3× 62 3.1k
Keke Yi China 36 4.3k 2.1× 1.5k 1.7× 271 0.6× 171 1.1× 103 0.7× 97 4.7k
Xiyan Yang China 32 3.4k 1.7× 2.1k 2.5× 84 0.2× 136 0.8× 86 0.6× 86 4.0k
Malireddy K. Reddy India 28 2.0k 1.0× 1.2k 1.4× 170 0.4× 54 0.3× 71 0.5× 79 2.5k
Dezhi Wu China 31 2.4k 1.2× 786 0.9× 206 0.5× 66 0.4× 114 0.8× 82 2.8k
Iwona Szarejko Poland 33 3.3k 1.6× 1.4k 1.7× 213 0.5× 184 1.1× 167 1.2× 94 3.7k

Countries citing papers authored by Stéphane Muños

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Muños

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Muños

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Muños. A scholar is included among the top collaborators of Stéphane Muños 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 Stéphane Muños. Stéphane Muños 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.
Combier, Jean‐Philippe, et al.. (2024). microRNA‐encoded peptides inhibit seed germination of the root parasitic plant Orobanche cumana. Plants People Planet. 7(2). 436–447. 5 indexed citations
2.
Pérez‐Vich, Begoña, et al.. (2023). Association mapping for broomrape resistance in sunflower. Frontiers in Plant Science. 13. 1056231–1056231. 6 indexed citations
3.
Becker, Claude, Richard Berthomé, Philippe Delavault, et al.. (2022). The ecologically relevant genetics of plant–plant interactions. Trends in Plant Science. 28(1). 31–42. 21 indexed citations
4.
Blanchet, Nicolas, Clément Carré, Ludovic Legrand, et al.. (2020). Transcriptomic data of leaves from eight sunflower lines and their sixteen hybrids under water deficit. OCL. 27. 48–48. 4 indexed citations
5.
Terzić, S., Marie‐Claude Boniface, Laura F. Marek, et al.. (2020). Gene banks for wild and cultivated sunflower genetic resources. OCL. 27. 9–9. 16 indexed citations
6.
Vautrin, Sonia, Marie‐Christine Auriac, Marie‐Claude Boniface, et al.. (2019). A receptor-like kinase enhances sunflower resistance to Orobanche cumana. Nature Plants. 5(12). 1211–1215. 60 indexed citations
7.
Pouilly, Nicolas, Stéphane Muños, Xavier Grand, et al.. (2019). An SSR-SNP Linkage Map of the Parasitic Weed Orobanche cumana Wallr. Including a Gene for Plant Pigmentation. Frontiers in Plant Science. 10. 797–797. 13 indexed citations
8.
Pécrix, Yann, et al.. (2018). Ten Broad Spectrum Resistances to Downy Mildew Physically Mapped on the Sunflower Genome. Frontiers in Plant Science. 9. 1780–1780. 34 indexed citations
9.
Mangin, Brigitte, Pierre Casadebaig, Nicolas Blanchet, et al.. (2017). Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modelling and genome‐wide association. Plant Cell & Environment. 40(10). 2276–2291. 54 indexed citations
10.
Islam, Faisal, Jian Wang, Muhammad Ahsan Farooq, et al.. (2017). Potential impact of the herbicide 2,4-dichlorophenoxyacetic acid on human and ecosystems. Environment International. 111. 332–351. 363 indexed citations
11.
Mangin, Brigitte, Nicolas Blanchet, Marie‐Claude Boniface, et al.. (2017). Genomic Prediction of Sunflower Hybrids Oil Content. Frontiers in Plant Science. 8. 1633–1633. 26 indexed citations
12.
Muños, Stéphane, Begoña Pérez‐Vich, & Jérôme Gouzy. (2015). Towards the genome sequence of Orobanche cumana. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 2 indexed citations
13.
Muños, Stéphane, et al.. (2014). Genes involved in floral meristem in tomato exhibit drastically reduced genetic diversity and signature of selection. BMC Plant Biology. 14(1). 279–279. 13 indexed citations
15.
Chakrabarti, Manohar, Na Zhang, Christopher Sauvage, et al.. (2013). A cytochrome P450 regulates a domestication trait in cultivated tomato. Proceedings of the National Academy of Sciences. 110(42). 17125–17130. 233 indexed citations
16.
Xu, Jiaxin, Nicolas Ranc, Stéphane Muños, et al.. (2012). Phenotypic diversity and association mapping for fruit quality traits in cultivated tomato and related species. Theoretical and Applied Genetics. 126(3). 567–581. 67 indexed citations
17.
Rodríguez, Gustavo, Stéphane Muños, Claire Anderson, et al.. (2011). Distribution of SUN, OVATE, LC , and FAS in the Tomato Germplasm and the Relationship to Fruit Shape Diversity      . PLANT PHYSIOLOGY. 156(1). 275–285. 273 indexed citations
18.
Muños, Stéphane, Nicolas Ranc, Emmanuel Botton, et al.. (2011). Increase in Tomato Locule Number Is Controlled by Two Single-Nucleotide Polymorphisms Located Near WUSCHEL      . PLANT PHYSIOLOGY. 156(4). 2244–2254. 261 indexed citations
19.
Faurobert, Mireille, et al.. (2009). GENETIC AND PROTEOMIC APPROACH OF TOMATO FRUIT QUALITY. Acta Horticulturae. 119–126.
20.
Cerezo, Miguel, Pascal Tillard, Sophie Filleur, et al.. (2001). Major Alterations of the Regulation of Root NO3 − Uptake Are Associated with the Mutation of Nrt2.1 and Nrt2.2 Genes in Arabidopsis. PLANT PHYSIOLOGY. 127(1). 262–271. 205 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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