Freddy Boutrot

4.3k total citations · 2 hit papers
20 papers, 2.9k citations indexed

About

Freddy Boutrot is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Freddy Boutrot has authored 20 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Nutrition and Dietetics. Recurrent topics in Freddy Boutrot's work include Plant-Microbe Interactions and Immunity (15 papers), Plant Pathogenic Bacteria Studies (10 papers) and Legume Nitrogen Fixing Symbiosis (6 papers). Freddy Boutrot is often cited by papers focused on Plant-Microbe Interactions and Immunity (15 papers), Plant Pathogenic Bacteria Studies (10 papers) and Legume Nitrogen Fixing Symbiosis (6 papers). Freddy Boutrot collaborates with scholars based in United Kingdom, France and United States. Freddy Boutrot's co-authors include Cyril Zipfel, Cécile Segonzac, John P. Rathjen, Marie-Françoise Gautier, Alberto P. Macho, Nathalie Chantret, Sheng Yang He, Xiu‐Fang Xin, Jian Yao and Jeff H. Chang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Freddy Boutrot

20 papers receiving 2.8k 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.

Function, Discovery, and Exploitation of Plant Pattern Recognition Receptors for Broad-Spectrum Disease Resistance

2017 497 citations Freddy Boutrot, Cyril Zipfel Annual Review of Phytopathology profile →
Bacteria establish an aqueous living space in plants crucial for virulence

2016 315 citations Xiu‐Fang Xin, Kinya Nomura et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Freddy Boutrot United Kingdom	20	2.6k	764	223	104	78	20	2.9k
Paul Derbyshire United Kingdom	25	3.2k 1.3×	1.4k 1.8×	173 0.8×	73 0.7×	53 0.7×	33	3.5k
Hye Sun Cho South Korea	26	1.8k 0.7×	1.4k 1.9×	275 1.2×	157 1.5×	53 0.7×	111	2.5k
Christian A. Voigt Germany	20	1.6k 0.6×	780 1.0×	400 1.8×	57 0.5×	70 0.9×	37	2.0k
Guy Condemine France	29	1.5k 0.6×	873 1.1×	216 1.0×	204 2.0×	159 2.0×	61	2.5k
Thea A. Wilkins United States	28	2.7k 1.1×	1.6k 2.1×	109 0.5×	239 2.3×	34 0.4×	44	3.3k
Akinori Kiba Japan	32	2.3k 0.9×	627 0.8×	246 1.1×	122 1.2×	127 1.6×	117	2.6k
Claudine Balagué France	23	2.0k 0.8×	837 1.1×	239 1.1×	72 0.7×	71 0.9×	35	2.3k
Mario Serrano Mexico	22	1.8k 0.7×	729 1.0×	320 1.4×	47 0.5×	115 1.5×	57	2.1k
Roberto Ruíz‐Medrano Mexico	22	1.7k 0.7×	935 1.2×	95 0.4×	124 1.2×	157 2.0×	80	2.2k
Mathilde Fagard France	27	3.4k 1.3×	2.1k 2.7×	126 0.6×	297 2.9×	103 1.3×	43	4.0k

Countries citing papers authored by Freddy Boutrot

Since Specialization

Citations

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

Fields of papers citing papers by Freddy Boutrot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Freddy Boutrot

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

All Works

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20 of 20 papers shown

Rhodes, Jack, Huanjie Yang, Steven Moussu, et al.. (2021). Perception of a divergent family of phytocytokines by the Arabidopsis receptor kinase MIK2. Nature Communications. 12(1). 705–705. 98 indexed citations

Çevik, Volkan, Freddy Boutrot, Alexandre Robert‐Seilaniantz, et al.. (2019). Transgressive segregation reveals mechanisms ofArabidopsisimmunity toBrassica-infecting races of white rust (Albugo candida). Proceedings of the National Academy of Sciences. 116(7). 2767–2773. 40 indexed citations

Brulé, Daphnée, Clizia Villano, Laura Davies, et al.. (2018). The grapevine (Vitis vinifera) LysM receptor kinases VvLYK1‐1 and VvLYK1‐2 mediate chitooligosaccharide‐triggered immunity. Plant Biotechnology Journal. 17(4). 812–825. 48 indexed citations

Souza, Clarice de Azevedo, Shundai Li, Andrew Z. Lin, et al.. (2017). Cellulose-Derived Oligomers Act as Damage-Associated Molecular Patterns and Trigger Defense-Like Responses. PLANT PHYSIOLOGY. 173(4). 2383–2398. 193 indexed citations

Boutrot, Freddy & Cyril Zipfel. (2017). Function, Discovery, and Exploitation of Plant Pattern Recognition Receptors for Broad-Spectrum Disease Resistance. Annual Review of Phytopathology. 55(1). 257–286. 497 indexed citations breakdown →

Xin, Xiu‐Fang, Kinya Nomura, Kyaw Aung, et al.. (2016). Bacteria establish an aqueous living space in plants crucial for virulence. Nature. 539(7630). 524–529. 315 indexed citations breakdown →

Boniecka, Justyna, Alois Schweighofer, Kotryna Kvederavičiūtė, et al.. (2016). Protein phosphatase AP2C1 negatively regulates basal resistance and defense responses toPseudomonas syringae. Journal of Experimental Botany. 68(5). erw485–erw485. 31 indexed citations

Trdá, Lucie, et al.. (2015). Perception of pathogenic or beneficial bacteria and their evasion of host immunity: pattern recognition receptors in the frontline. Frontiers in Plant Science. 6. 219–219. 91 indexed citations

Nicaise, Valérie, Anna Joe, Byeong‐ryool Jeong, et al.. (2013). Pseudomonas HopU1 modulates plant immune receptor levels by blocking the interaction of their mRNAs with GRP7. The EMBO Journal. 32(5). 701–712. 126 indexed citations

10.

Lozano‐Durán, Rosa, Alberto P. Macho, Freddy Boutrot, et al.. (2013). The transcriptional regulator BZR1 mediates trade-off between plant innate immunity and growth. eLife. 2. e00983–e00983. 178 indexed citations

11.

Zhang, Weiguo, Malou Fraiture, Dagmar Kolb, et al.. (2013). ArabidopsisRECEPTOR-LIKE PROTEIN30 and Receptor-Like Kinase SUPPRESSOR OF BIR1-1/EVERSHED Mediate Innate Immunity to Necrotrophic Fungi . The Plant Cell. 25(10). 4227–4241. 214 indexed citations

12.

Trdá, Lucie, Olivier Fernández, Freddy Boutrot, et al.. (2013). The grapevine flagellin receptor VvFLS2 differentially recognizes flagellin‐derived epitopes from the endophytic growth‐promoting bacterium Burkholderia phytofirmans and plant pathogenic bacteria. New Phytologist. 201(4). 1371–1384. 127 indexed citations

13.

Macho, Alberto P., Freddy Boutrot, John P. Rathjen, & Cyril Zipfel. (2012). ASPARTATE OXIDASE Plays an Important Role in Arabidopsis Stomatal Immunity . PLANT PHYSIOLOGY. 159(4). 1845–1856. 113 indexed citations

14.

Albrecht, Catherine, Freddy Boutrot, Cécile Segonzac, et al.. (2011). Brassinosteroids inhibit pathogen-associated molecular pattern–triggered immune signaling independent of the receptor kinase BAK1. Proceedings of the National Academy of Sciences. 109(1). 303–308. 252 indexed citations

15.

Boutrot, Freddy, Cécile Segonzac, Katherine Noelani Chang, et al.. (2010). Direct transcriptional control of the Arabidopsis immune receptor FLS2 by the ethylene-dependent transcription factors EIN3 and EIL1. Proceedings of the National Academy of Sciences. 107(32). 14502–14507. 180 indexed citations

16.

Boutrot, Freddy, Nathalie Chantret, & Marie-Françoise Gautier. (2008). Genome-wide analysis of the rice and arabidopsis non-specific lipid transfer protein (nsLtp) gene families and identification of wheat nsLtp genes by EST data mining. BMC Genomics. 9(1). 86–86. 169 indexed citations

17.

Boutrot, Freddy, Donaldo Meynard, Emmanuel Guiderdoni, Philippe Joudrier, & Marie-Françoise Gautier. (2006). The Triticum aestivum non-specific lipid transfer protein (TaLtp) gene family: comparative promoter activity of six TaLtp genes in transgenic rice. Planta. 225(4). 843–862. 36 indexed citations

18.

Boutrot, Freddy, Anne Guirao, Rémi Alary, Philippe Joudrier, & Marie-Françoise Gautier. (2005). Wheat non-specific lipid transfer protein genes display a complex pattern of expression in developing seeds. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1730(2). 114–125. 62 indexed citations

19.

Dieryck, Wilfrid, et al.. (2001). Purification, characterisation and cDNA cloning of a type 2 (7 kDa) lipid transfer protein from Triticum durum. Plant Science. 161(4). 747–755. 22 indexed citations

20.

Cuq, Bernard, Freddy Boutrot, Andréas Redl, & Valérie Lullien‐Pellerin. (2000). Study of the Temperature Effect on the Formation of Wheat Gluten Network: Influence on Mechanical Properties and Protein Solubility. Journal of Agricultural and Food Chemistry. 48(7). 2954–2959. 76 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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