Stéphane Genin

12.0k total citations · 3 hit papers
90 papers, 8.2k citations indexed

About

Stéphane Genin is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Stéphane Genin has authored 90 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Plant Science, 10 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Stéphane Genin's work include Plant Pathogenic Bacteria Studies (81 papers), Plant-Microbe Interactions and Immunity (73 papers) and Legume Nitrogen Fixing Symbiosis (68 papers). Stéphane Genin is often cited by papers focused on Plant Pathogenic Bacteria Studies (81 papers), Plant-Microbe Interactions and Immunity (73 papers) and Legume Nitrogen Fixing Symbiosis (68 papers). Stéphane Genin collaborates with scholars based in France, United States and Spain. Stéphane Genin's co-authors include Christian Boucher, Timothy P. Denny, Nemo Peeters, Patrick Barberis, Ian K. Toth, Marcos Antônio Machado, Vitaly Citovsky, J. Maxwell Dow, Gary D. Foster and Shimpei Magori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Stéphane Genin

89 papers receiving 8.1k citations

Hit Papers

align trajectories

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.

Top 10 plant pathogenic bacteria in molecular plant pathology

2012 1.7k citations Stéphane Genin et al. Molecular Plant Pathology profile →
Physical interaction between RRS1-R, a protein conferring resistance to bacterial wilt, and PopP2, a type III effector targeted to the plant nucleus

2003 551 citations Laurent Deslandes, J. Olivier et al. Proceedings of the National Academy of Sciences profile →
Pathogenomics of theRalstonia solanacearumSpecies Complex

2012 474 citations Stéphane Genin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stéphane Genin France	45	7.0k	1.5k	726	616	475	90	8.2k
Brion Duffy Switzerland	39	2.8k 0.4×	1.1k 0.7×	936 1.3×	314 0.5×	188 0.4×	116	4.1k
Ian K. Toth United Kingdom	40	6.0k 0.9×	2.2k 1.5×	1.6k 2.2×	608 1.0×	317 0.7×	113	8.0k
James R. Alfano United States	47	7.2k 1.0×	1.4k 0.9×	499 0.7×	318 0.5×	296 0.6×	75	7.9k
Alan Collmer United States	66	12.0k 1.7×	2.6k 1.7×	1.0k 1.4×	971 1.6×	1.1k 2.3×	144	14.1k
Klaus Geider Germany	47	3.8k 0.5×	2.3k 1.5×	1.3k 1.8×	297 0.5×	1.0k 2.2×	191	6.1k
Steven V. Beer United States	41	6.4k 0.9×	1.4k 0.9×	1.4k 1.9×	225 0.4×	155 0.3×	133	7.2k
Timothy P. Denny United States	34	3.2k 0.5×	930 0.6×	352 0.5×	322 0.5×	253 0.5×	55	4.0k
Sylvie Reverchon France	41	2.6k 0.4×	1.7k 1.1×	211 0.3×	321 0.5×	809 1.7×	113	4.4k
Minna Pirhonen Finland	31	2.6k 0.4×	903 0.6×	556 0.8×	264 0.4×	252 0.5×	65	3.2k
Christian Boucher France	34	4.1k 0.6×	756 0.5×	202 0.3×	443 0.7×	415 0.9×	50	4.8k

Countries citing papers authored by Stéphane Genin

Since Specialization

Citations

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

Fields of papers citing papers by Stéphane Genin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Genin

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Genin. A scholar is included among the top collaborators of Stéphane Genin 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 Genin. Stéphane Genin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Galaud, Jean‐Philippe, Stéphane Genin, & Didier Aldon. (2024). Pathogen effectors hijack calcium signaling to promote virulence. Trends in Plant Science. 30(4). 356–363. 5 indexed citations

Jardinaud, Marie‐Françoise, et al.. (2023). Transcriptomic profiling reveals host-specific evolutionary pathways promoting enhanced fitness in the plant pathogen Ralstonia pseudosolanacearum. Microbial Genomics. 9(12). 1 indexed citations

Baroukh, Caroline, et al.. (2023). Insights into the metabolic specificities of pathogenic strains from the Ralstonia solanacearum species complex. mSystems. 8(4). e0008323–e0008323. 2 indexed citations

Cottret, Ludovic, et al.. (2021). A multi-organ metabolic model of tomato predicts plant responses to nutritional and genetic perturbations. PLANT PHYSIOLOGY. 188(3). 1709–1723. 12 indexed citations

Carrère, Sébastien, Fabien Lonjon, Fabienne Vailleau, et al.. (2019). Pangenomic type III effector database of the plant pathogenic Ralstonia spp.. PeerJ. 7. e7346–e7346. 74 indexed citations

Barlet, Xavier, et al.. (2018). Comparative transcriptomic studies identify specific expression patterns of virulence factors under the control of the master regulator PhcA in the Ralstonia solanacearum species complex. Microbial Pathogenesis. 116. 273–278. 33 indexed citations

Lonjon, Fabien, et al.. (2017). HpaB-Dependent Secretion of Type III Effectors in the Plant Pathogens Ralstonia solanacearum and Xanthomonas campestris pv. vesicatoria. Scientific Reports. 7(1). 4879–4879. 10 indexed citations

Lonjon, Fabien, Nemo Peeters, Stéphane Genin, & Fabienne Vailleau. (2017). In Vitro and In Vivo Secretion/Translocation Assays to Identify Novel Ralstonia solanacearum Type 3 Effectors. Methods in molecular biology. 1734. 209–222. 12 indexed citations

Peyraud, Rémi, et al.. (2016). A Resource Allocation Trade-Off between Virulence and Proliferation Drives Metabolic Versatility in the Plant Pathogen Ralstonia solanacearum. PLoS Pathogens. 12(10). e1005939–e1005939. 114 indexed citations

10.

Wang, Keke, Philippe Remigi, Maria Anisimova, et al.. (2015). Functional assignment to positively selected sites in the core type III effector RipG 7 from R alstonia solanacearum. Molecular Plant Pathology. 17(4). 553–564. 24 indexed citations

11.

Deslandes, Laurent & Stéphane Genin. (2014). Opening the Ralstonia solanacearum type III effector tool box: insights into host cell subversion mechanisms. Current Opinion in Plant Biology. 20. 110–117. 65 indexed citations

12.

Remigi, Philippe, Maria Anisimova, Alice Guidot, Stéphane Genin, & Nemo Peeters. (2011). Functional diversification of the GALA type III effector family contributes to Ralstonia solanacearum adaptation on different plant hosts. New Phytologist. 192(4). 976–987. 78 indexed citations

13.

Vailleau, Fabienne, Elodie Sartorel, Marie‐Françoise Jardinaud, et al.. (2007). Characterization of the Interaction Between the Bacterial Wilt Pathogen Ralstonia solanacearum and the Model Legume Plant Medicago truncatula. Molecular Plant-Microbe Interactions. 20(2). 159–167. 102 indexed citations

14.

Vailleau, Fabienne, Elodie Sartorel, Marie‐Françoise Jardinaud, et al.. (2007). Characterization of the Interaction Between the Bacterial Wilt Pathogen Ralstonia solanacearum and the Model Legume Plant Medicago truncatula. Open Archive Toulouse Archive Ouverte (University of Toulouse). 6 indexed citations

15.

Angot, Aurélie, Nemo Peeters, Esther Lechner, et al.. (2006). Ralstonia solanacearum requires F-box-like domain-containing type III effectors to promote disease on several host plants. Proceedings of the National Academy of Sciences. 103(39). 14620–14625. 171 indexed citations

16.

Angot, Aurélie, Nemo Peeters, Esther Lechner, et al.. (2006). Ralstonia solanacearum requires F-box-like domain-containing type III effectors to promote disease on several host plants. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations

17.

Deslandes, Laurent, J. Olivier, Nemo Peeters, et al.. (2003). Physical interaction between RRS1-R, a protein conferring resistance to bacterial wilt, and PopP2, a type III effector targeted to the plant nucleus. Proceedings of the National Academy of Sciences. 100(13). 8024–8029. 551 indexed citations breakdown →

18.

Vasse, Jacques, et al.. (2000). The hrpB and hrpG regulatory genes of Ralstonia solanacearum are required for different stages of the tomato root infection process. SPIRE - Sciences Po Institutional REpository. 6 indexed citations

19.

Brito, Belén, Marc S. Marenda, Patrick Barberis, Christian Boucher, & Stéphane Genin. (1999). prhJ and hrpG, two new components of the plant signal‐dependent regulatory cascade controlled by PrhA in Ralstonia solanacearum. Molecular Microbiology. 31(1). 237–251. 89 indexed citations

20.

Gijsegem, Frederique F. van, Clare Gough, Claudine Zischek, et al.. (1995). The hrp gene locus of Pseudomonas solanacearum, which controls the production of a type III secretion system, encodes eight proteins related to components of the bacterial flagellar biogenesis complex. SPIRE - Sciences Po Institutional REpository. 9 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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