Alexandre Perochon

993 total citations
18 papers, 711 citations indexed

About

Alexandre Perochon is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Alexandre Perochon has authored 18 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 6 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Alexandre Perochon's work include Mycotoxins in Agriculture and Food (9 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Disease Resistance and Genetics (5 papers). Alexandre Perochon is often cited by papers focused on Mycotoxins in Agriculture and Food (9 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Disease Resistance and Genetics (5 papers). Alexandre Perochon collaborates with scholars based in Ireland, United Kingdom and France. Alexandre Perochon's co-authors include Fiona M. Doohan, Didier Aldon, Jean‐Philippe Galaud, Benoı̂t Ranty, Amal Kahla, Lokanadha Rao Gunupuru, Steven R. Scofield, Emma J. Wallington, Chanemougasoundharam Arunachalam and Mojibur R. Khan and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Alexandre Perochon

18 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre Perochon Ireland 11 647 229 148 48 20 18 711
H. B. Mahesh India 14 439 0.7× 192 0.8× 108 0.7× 77 1.6× 34 1.7× 34 542
M. Aydın Akbudak Türkiye 13 476 0.7× 216 0.9× 89 0.6× 26 0.5× 14 0.7× 33 557
Mariângela Cristofani–Yaly Brazil 17 525 0.8× 180 0.8× 98 0.7× 48 1.0× 18 0.9× 55 596
Jae Bok Yoon South Korea 16 525 0.8× 168 0.7× 156 1.1× 32 0.7× 19 0.9× 32 561
Liangping Zou China 12 448 0.7× 186 0.8× 76 0.5× 42 0.9× 14 0.7× 22 517
Ladislav Kučera Czechia 14 444 0.7× 160 0.7× 115 0.8× 57 1.2× 48 2.4× 44 509
M. S. Saharan India 13 498 0.8× 108 0.5× 141 1.0× 38 0.8× 23 1.1× 103 542
Barbara Gilmore United States 8 450 0.7× 186 0.8× 92 0.6× 82 1.7× 40 2.0× 20 506
Satomi Negoro Japan 13 622 1.0× 288 1.3× 70 0.5× 169 3.5× 22 1.1× 18 712
Shan Lu China 10 572 0.9× 193 0.8× 81 0.5× 72 1.5× 12 0.6× 18 629

Countries citing papers authored by Alexandre Perochon

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Perochon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Perochon

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

All Works

18 of 18 papers shown
1.
Perochon, Alexandre, et al.. (2024). Genome‐wide analysis of salicylic acid and jasmonic acid signalling marker gene families in wheat. Plant Biology. 26(5). 691–704. 3 indexed citations
2.
Perochon, Alexandre & Fiona M. Doohan. (2024). Trichothecenes and Fumonisins: Key Players in Fusarium–Cereal Ecosystem Interactions. Toxins. 16(2). 90–90. 7 indexed citations
3.
Perochon, Alexandre, et al.. (2023). Transcriptional Profiling Reveals the Wheat Defences against Fusarium Head Blight Disease Regulated by a NAC Transcription Factor. Plants. 12(14). 2708–2708. 7 indexed citations
4.
Perochon, Alexandre, et al.. (2022). Comprehensive analysis of pathogen-responsive wheat NAC transcription factors: new candidates for crop improvement. G3 Genes Genomes Genetics. 12(11). 10 indexed citations
5.
Perochon, Alexandre, et al.. (2021). Analysis of the chromosomal clustering of Fusarium-responsive wheat genes uncovers new players in the defence against head blight disease. Scientific Reports. 11(1). 7446–7446. 4 indexed citations
6.
Perochon, Alexandre, et al.. (2019). The wheat SnRK1α family and its contribution to Fusarium toxin tolerance. Plant Science. 288. 110217–110217. 25 indexed citations
7.
Perochon, Alexandre, et al.. (2019). A wheat NAC interacts with an orphan protein and enhances resistance to Fusarium head blight disease. Plant Biotechnology Journal. 17(10). 1892–1904. 54 indexed citations
8.
Gunupuru, Lokanadha Rao, Chanemougasoundharam Arunachalam, Amal Kahla, et al.. (2018). A wheat cytochrome P450 enhances both resistance to deoxynivalenol and grain yield. PLoS ONE. 13(10). e0204992–e0204992. 56 indexed citations
9.
Gunupuru, Lokanadha Rao, Alexandre Perochon, Shahin S. Ali, Steven R. Scofield, & Fiona M. Doohan. (2018). Virus-Induced Gene Silencing (VIGS) for Functional Characterization of Disease Resistance Genes in Barley Seedlings. Methods in molecular biology. 1900. 95–114. 13 indexed citations
10.
Perochon, Alexandre, et al.. (2018). Optimizing callus induction and proliferation for Agrobacterium-mediated transformation of Brachypodium distachyon. Cereal Research Communications. 46(2). 221–231. 1 indexed citations
11.
Cheval, Cécilia, Benoı̂t Ranty, Alexandre Perochon, et al.. (2017). PRR2, a pseudo-response regulator, promotes salicylic acid and camalexin accumulation during plant immunity. Scientific Reports. 7(1). 6979–6979. 18 indexed citations
12.
Gunupuru, Lokanadha Rao, Alexandre Perochon, & Fiona M. Doohan. (2017). Deoxynivalenol resistance as a component of FHB resistance. Tropical Plant Pathology. 42(3). 175–183. 55 indexed citations
13.
Perochon, Alexandre & Fiona M. Doohan. (2016). Assessment of Wheat Resistance to Fusarium graminearum by Automated Image Analysis of Detached Leaves Assay. BIO-PROTOCOL. 6(24). 7 indexed citations
14.
Wälter, Stephanie, Amal Kahla, Alexandre Perochon, et al.. (2015). A wheat ABC transporter contributes to both grain formation and mycotoxin tolerance. Journal of Experimental Botany. 66(9). 2583–2593. 88 indexed citations
15.
Perochon, Alexandre, Amal Kahla, Chanemougasoundharam Arunachalam, et al.. (2015). TaFROG encodes a Pooideae orphan protein that interacts with SnRK1 and enhances resistance to the mycotoxigenic fungus Fusarium graminearum. PLANT PHYSIOLOGY. 169(4). pp.01056.2015–pp.01056.2015. 78 indexed citations
16.
Perochon, Alexandre, et al.. (2012). CML9, a multifunctionalArabidopsis thalianacalmodulin-like protein involved in stress responses and plant growth?. Plant Signaling & Behavior. 7(9). 1121–1124. 13 indexed citations
17.
Perochon, Alexandre, Didier Aldon, Jean‐Philippe Galaud, & Benoı̂t Ranty. (2011). Calmodulin and calmodulin-like proteins in plant calcium signaling. Biochimie. 93(12). 2048–2053. 235 indexed citations
18.
Perochon, Alexandre, Stefan Dieterle, Cécile Pouzet, et al.. (2010). Interaction of a plant pseudo-response regulator with a calmodulin-like protein. Biochemical and Biophysical Research Communications. 398(4). 747–751. 37 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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