Boris Szurek

7.7k total citations · 1 hit paper
86 papers, 4.2k citations indexed

About

Boris Szurek is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Boris Szurek has authored 86 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Plant Science, 11 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Boris Szurek's work include Plant Pathogenic Bacteria Studies (79 papers), Plant-Microbe Interactions and Immunity (60 papers) and Legume Nitrogen Fixing Symbiosis (36 papers). Boris Szurek is often cited by papers focused on Plant Pathogenic Bacteria Studies (79 papers), Plant-Microbe Interactions and Immunity (60 papers) and Legume Nitrogen Fixing Symbiosis (36 papers). Boris Szurek collaborates with scholars based in France, United States and Colombia. Boris Szurek's co-authors include Ralf Koebnik, Mathilde Hutin, Álvaro L. Pérez‐Quintero, Jens Boch, Ulla Bonas, Claire Lurin, Ian Small, Beate Hoffmann, Jana Streubel and Valérie Verdier and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Boris Szurek

80 papers receiving 4.1k citations

Hit Papers

Genome-Wide Analysis of A... 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Szurek France 30 3.3k 1.8k 203 119 92 86 4.2k
Ben F. Holt United States 23 3.8k 1.1× 1.9k 1.1× 182 0.9× 148 1.2× 120 1.3× 30 4.1k
Nadim W. Alkharouf United States 29 2.1k 0.6× 1.1k 0.6× 207 1.0× 74 0.6× 121 1.3× 65 2.6k
Mawsheng Chern United States 28 2.7k 0.8× 1.2k 0.7× 217 1.1× 193 1.6× 126 1.4× 41 3.0k
Matthew R. Willmann United States 22 4.5k 1.4× 2.8k 1.6× 210 1.0× 86 0.7× 152 1.7× 40 5.2k
Susana Rivas France 25 2.3k 0.7× 1.1k 0.6× 303 1.5× 71 0.6× 94 1.0× 30 2.6k
Marcel Wiermer Germany 23 2.7k 0.8× 1.4k 0.8× 217 1.1× 38 0.3× 110 1.2× 34 3.3k
Jing Fan China 28 2.3k 0.7× 940 0.5× 210 1.0× 109 0.9× 172 1.9× 89 2.6k
Armin Djamei Germany 24 2.4k 0.7× 1.4k 0.8× 504 2.5× 58 0.5× 104 1.1× 51 2.8k
Paul Derbyshire United Kingdom 25 3.2k 1.0× 1.4k 0.8× 173 0.9× 55 0.5× 53 0.6× 33 3.5k
Liangying Dai China 23 2.0k 0.6× 1.0k 0.6× 233 1.1× 358 3.0× 177 1.9× 76 2.4k

Countries citing papers authored by Boris Szurek

Since Specialization
Citations

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

Fields of papers citing papers by Boris Szurek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Szurek

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Szurek. A scholar is included among the top collaborators of Boris Szurek 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 Boris Szurek. Boris Szurek 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
2.
Minsavage, Gerald V., Joachim Kilian, Nan Wang, et al.. (2025). Xanthomonas coordinates type III–type II effector synergy by activating fruit-ripening pathway. Science. 390(6779). 1292–1298.
3.
Hutin, Mathilde, Simon Carpenter, Paulo R. A. Campos, et al.. (2024). Evolutionary and Epidemiological Insights from Historical and Modern Genomes of Xanthomonas oryzae pv. oryzicola, the Causal Agent of Bacterial Leaf Streak of Rice. Molecular Plant-Microbe Interactions. 37(12). 814–818.
4.
Roux, Brice, Sébastien Cunnac, Sébastien Carrère, et al.. (2024). Comparative transcriptomics reveals a highly polymorphic Xanthomonas HrpG virulence regulon. BMC Genomics. 25(1). 777–777. 3 indexed citations
7.
Audran, Corinne, Cesar Augusto Medina, Lionel Gagnevin, et al.. (2023). CRISPRi in Xanthomonas demonstrates functional convergence of transcription activator‐like effectors in two divergent pathogens. New Phytologist. 238(4). 1593–1604. 4 indexed citations
8.
Blondin, Laurence, Issa Wonni, Boris Szurek, et al.. (2023). A minisatellite-based MLVA for deciphering the global epidemiology of the bacterial cassava pathogen Xanthomonas phaseoli pv. manihotis. PLoS ONE. 18(5). e0285491–e0285491. 1 indexed citations
9.
Wonni, Issa, Anne Sicard, Laurence Blondin, et al.. (2023). Genetic Structure and TALome Analysis Highlight a High Level of Diversity in Burkinabe Xanthomonas Oryzae pv. oryzae Populations. Rice. 16(1). 33–33. 1 indexed citations
10.
Szurek, Boris, et al.. (2023). First Report of Bacterial Leaf Blight Disease of Rice Caused by Xanthomonas oryzae pv. oryzae in Madagascar. Plant Disease. 107(8). 2510–2510. 3 indexed citations
12.
Sciallano, Coline, et al.. (2022). The Complete Genome Resource of Xanthomonas oryzae pv. oryzae CIX2779 Includes the First Sequence of a Plasmid for an African Representative of This Rice Pathogen. Molecular Plant-Microbe Interactions. 36(1). 73–77. 1 indexed citations
13.
Boyer, Karine, Myriam Gaudeul, Cláudia Baider, et al.. (2021). First historical genome of a crop bacterial pathogen from herbarium specimen: Insights into citrus canker emergence. PLoS Pathogens. 17(7). e1009714–e1009714. 12 indexed citations
14.
Wonni, Issa, Mathilde Hutin, Lionel Gagnevin, et al.. (2020). First Report of Xanthomonas phaseoli pv. manihotis, the Causal Agent of Cassava Bacterial Blight, in Mali. Plant Disease. 104(6). 1852–1852. 2 indexed citations
15.
Wu, Ting‐Ying, Takayuki Tohge, Alisdair R. Fernie, et al.. (2019). Enhancement of vitamin B6 levels in rice expressing Arabidopsis vitamin B6 biosynthesis de novo genes. The Plant Journal. 99(6). 1047–1065. 34 indexed citations
16.
Wonni, Issa, Sara C. D. Carpenter, Yanhua Yu, et al.. (2018). Functional analysis of African Xanthomonas oryzae pv. oryzae TALomes reveals a new susceptibility gene in bacterial leaf blight of rice. PLoS Pathogens. 14(6). e1007092–e1007092. 66 indexed citations
17.
Zhao, Shuai, Lucie Poulin, Luis M. Rodriguez‐R, et al.. (2012). Development of a Variable Number of Tandem Repeats Typing Scheme for the Bacterial Rice Pathogen Xanthomonas oryzae pv. oryzicola. Phytopathology. 102(10). 948–956. 26 indexed citations
18.
González, Carolina, et al.. (2007). Molecular and pathotypic characterization of new Xanthomonas oryzae strains from West Africa.. SPIRE - Sciences Po Institutional REpository. 9 indexed citations
19.
Lurin, Claire, Mohammed Bellaoui, Michel Caboche, et al.. (2004). Genome-Wide Analysis of Arabidopsis Pentatricopeptide Repeat Proteins Reveals Their Essential Role in Organelle Biogenesis[W]. The Plant Cell. 16(8). 2089–2103. 1051 indexed citations breakdown →
20.
Szurek, Boris, Éric Marois, Ulla Bonas, & Guido Van den Ackerveken. (2001). Eukaryotic features of the Xanthomonas type III effector AvrBs3: protein domains involved in transcriptional activation and the interaction with nuclear import receptors from pepper. The Plant Journal. 26(5). 523–534. 141 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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