Maël Baudin

1.1k total citations
18 papers, 767 citations indexed

About

Maël Baudin is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Maël Baudin has authored 18 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 5 papers in Agronomy and Crop Science and 2 papers in Molecular Biology. Recurrent topics in Maël Baudin's work include Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogenic Bacteria Studies (8 papers) and Legume Nitrogen Fixing Symbiosis (8 papers). Maël Baudin is often cited by papers focused on Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogenic Bacteria Studies (8 papers) and Legume Nitrogen Fixing Symbiosis (8 papers). Maël Baudin collaborates with scholars based in France, United States and Argentina. Maël Baudin's co-authors include Andréas Niebel, Tom Laloum, Pascal Gamas, Stéphane De Mita, Jennifer D. Lewis, Karl J. Schreiber, Jana A. Hassan, María Eugenia Zanetti, Flavio Antonio Blanco and Carolina Rípodas and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Maël Baudin

16 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maël Baudin France 11 716 271 147 25 25 18 767
Oluwaseyi Shorinola United Kingdom 9 612 0.9× 392 1.4× 56 0.4× 77 3.1× 35 1.4× 12 714
Monendra Grover India 12 329 0.5× 152 0.6× 55 0.4× 44 1.8× 22 0.9× 35 422
Melanie Craze United Kingdom 14 744 1.0× 332 1.2× 75 0.5× 86 3.4× 45 1.8× 21 799
Daeseok Choi South Korea 8 464 0.6× 222 0.8× 26 0.2× 33 1.3× 11 0.4× 10 530
Maxim Troukhan United States 8 438 0.6× 443 1.6× 60 0.4× 95 3.8× 19 0.8× 10 655
Valesca Pandolfi Brazil 14 453 0.6× 298 1.1× 22 0.1× 24 1.0× 38 1.5× 39 630
Aliki Kapazoglou Greece 17 539 0.8× 289 1.1× 30 0.2× 58 2.3× 8 0.3× 27 610
D. Vaubert France 9 649 0.9× 233 0.9× 130 0.9× 7 0.3× 57 2.3× 9 723
Sihui Zhong Canada 9 721 1.0× 279 1.0× 48 0.3× 23 0.9× 14 0.6× 9 767
Michiya Koike Japan 5 461 0.6× 115 0.4× 109 0.7× 107 4.3× 29 1.2× 9 521

Countries citing papers authored by Maël Baudin

Since Specialization
Citations

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

Fields of papers citing papers by Maël Baudin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maël Baudin

This figure shows the co-authorship network connecting the top 25 collaborators of Maël Baudin. A scholar is included among the top collaborators of Maël Baudin 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 Maël Baudin. Maël Baudin 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.
Helmann, Tyler C., Maël Baudin, Karl J. Schreiber, et al.. (2025). Genome-wide identification of novel flagellar motility genes in Pseudomonas syringae pv. tomato DC3000. Frontiers in Microbiology. 16. 1535114–1535114.
2.
Collemare, Jérôme, Valérie Caffier, Clémentine Duplaix, et al.. (2025). Ancient MAX Effector Variants of a Fungal Pathogen Evade Apoplastic Immunity in Apple. bioRxiv (Cold Spring Harbor Laboratory).
3.
Baudin, Maël, Pierre Gladieux, Didier Tharreau, et al.. (2024). Pyricularia oryzae : Lab star and field scourge. Molecular Plant Pathology. 25(4). 11 indexed citations
4.
Xiao, Gui, Stella Césari, Karine Lambou, et al.. (2024). The unconventional resistance protein PTR recognizes the Magnaporthe oryzae effector AVR-Pita in an allele-specific manner. Nature Plants. 10(6). 994–1004. 10 indexed citations
5.
Baudin, Maël, Lung‐Yu Liang, Weiwen Dai, et al.. (2024). Molecular dissection of the pseudokinase ZED1 expands effector recognition to the tomato immune receptor ZAR1. PLANT PHYSIOLOGY. 196(1). 651–666. 2 indexed citations
6.
Baudin, Maël, Leslie A. Harden, Christopher J. Silva, et al.. (2023). Utilising natural diversity of kinases to rationally engineer interactions with the angiosperm immune receptor ZAR1. Plant Cell & Environment. 46(7). 2238–2254. 3 indexed citations
7.
Baudin, Maël, Sébastien Carrère, Olivier Bouchez, et al.. (2022). Genome‐wide identification of fitness determinants in the Xanthomonas campestris bacterial pathogen during early stages of plant infection. New Phytologist. 236(1). 235–248. 14 indexed citations
8.
Baudin, Maël, Chodon Sass, Jana A. Hassan, et al.. (2020). A natural diversity screen in Arabidopsis thaliana reveals determinants for HopZ1a recognition in the ZAR1‐ZED1 immune complex. Plant Cell & Environment. 44(2). 629–644. 5 indexed citations
9.
Baudin, Maël, et al.. (2019). Structure–function analysis of ZAR1 immune receptor reveals key molecular interactions for activity. The Plant Journal. 101(2). 352–370. 20 indexed citations
10.
Baudin, Maël, Jana A. Hassan, Karl J. Schreiber, & Jennifer D. Lewis. (2017). Analysis of the ZAR1 Immune Complex Reveals Determinants for Immunity and Molecular Interactions. PLANT PHYSIOLOGY. 174(4). 2038–2053. 65 indexed citations
11.
Schreiber, Karl J., Maël Baudin, Jana A. Hassan, & Jennifer D. Lewis. (2016). Die another day: Molecular mechanisms of effector-triggered immunity elicited by type III secreted effector proteins. Seminars in Cell and Developmental Biology. 56. 124–133. 20 indexed citations
12.
Fonouni‐Farde, Camille, Maël Baudin, Mathias Brault, et al.. (2016). DELLA-mediated gibberellin signalling regulates Nod factor signalling and rhizobial infection. Nature Communications. 7(1). 12636–12636. 114 indexed citations
13.
Baudin, Maël, Tom Laloum, Agnès Lepage, et al.. (2015). A phylogenetically conserved group of NF-Y transcription factors interact to control nodulation in legumes. PLANT PHYSIOLOGY. 169(4). pp.01144.2015–pp.01144.2015. 60 indexed citations
14.
Baudin, Maël, Tom Laloum, Agnès Lepage, et al.. (2015). A Phylogenetically Conserved Group of Nuclear Factor-Y Transcription Factors Interact to Control Nodulation in Legumes. PubMed Central. 1 indexed citations
15.
Battaglia, Marina E., Carolina Rípodas, Joaquín Clúa, et al.. (2014). A Nuclear Factor Y Interacting Protein of the GRAS Family Is Required for Nodule Organogenesis, Infection Thread Progression, and Lateral Root Growth      . PLANT PHYSIOLOGY. 164(3). 1430–1442. 57 indexed citations
16.
Rípodas, Carolina, Joaquín Clúa, Marina E. Battaglia, et al.. (2014). Transcriptional regulators of legume-rhizobia symbiosis. Plant Signaling & Behavior. 9(5). e28847–e28847. 17 indexed citations
17.
Laloum, Tom, Maël Baudin, Lisa Francès, et al.. (2014). Two CCAAT‐box‐binding transcription factors redundantly regulate early steps of the legume‐rhizobia endosymbiosis. The Plant Journal. 79(5). 757–768. 94 indexed citations
18.
Laloum, Tom, Stéphane De Mita, Pascal Gamas, Maël Baudin, & Andréas Niebel. (2012). CCAAT-box binding transcription factors in plants: Y so many?. Trends in Plant Science. 18(3). 157–166. 274 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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