Sébastien Praud

3.8k total citations
23 papers, 1.0k citations indexed

About

Sébastien Praud is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Sébastien Praud has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 14 papers in Genetics and 3 papers in Agronomy and Crop Science. Recurrent topics in Sébastien Praud's work include Wheat and Barley Genetics and Pathology (15 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetics and Plant Breeding (13 papers). Sébastien Praud is often cited by papers focused on Wheat and Barley Genetics and Pathology (15 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetics and Plant Breeding (13 papers). Sébastien Praud collaborates with scholars based in France, United States and Morocco. Sébastien Praud's co-authors include Pierre Dubreuil, Jacques Le Gouis, Stéphane Lafarge, Fabien Cormier, Sébastien Faure, Catherine Ravel, Katia Beauchêne, François Balfourier, Emmanuel Heumez and Alain Murigneux and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

Sébastien Praud

23 papers receiving 998 citations

Peers

Sébastien Praud
Sébastien Praud
Citations per year, relative to Sébastien Praud Sébastien Praud (= 1×) peers Alagu Manickavelu

Countries citing papers authored by Sébastien Praud

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Praud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Praud

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Praud. A scholar is included among the top collaborators of Sébastien Praud 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 Sébastien Praud. Sébastien Praud 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
1.
Dubreuil, Pierre, et al.. (2024). Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions. Theoretical and Applied Genetics. 137(3). 68–68. 6 indexed citations
2.
Hudson, Asher I., Sébastien Praud, Pierre Dubreuil, et al.. (2022). Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci. G3 Genes Genomes Genetics. 12(3). 7 indexed citations
3.
Hudson, Asher I., Pierre Dubreuil, Marie-Hélène Tixier, et al.. (2022). Analysis of genotype-by-environment interactions in a maize mapping population. G3 Genes Genomes Genetics. 12(3). 23 indexed citations
4.
Lafarge, Stéphane, et al.. (2022). Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat. Theoretical and Applied Genetics. 135(3). 947–964. 19 indexed citations
5.
Duarte, Jorge, Aude Darracq, Ali Pirani, et al.. (2019). High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array. BMC Genomics. 20(1). 848–848. 8 indexed citations
6.
Dutartre, Dan, Marie-Hélène Tixier, Marie Weiss, et al.. (2019). A High-Throughput Model-Assisted Method for Phenotyping Maize Green Leaf Area Index Dynamics Using Unmanned Aerial Vehicle Imagery. Frontiers in Plant Science. 10. 685–685. 45 indexed citations
7.
Ladejobi, Olufunmilayo, Ian Mackay, Jesse Poland, et al.. (2019). Reference Genome Anchoring of High-Density Markers for Association Mapping and Genomic Prediction in European Winter Wheat. Frontiers in Plant Science. 10. 1278–1278. 19 indexed citations
8.
Rincent, Renaud, Matthieu Bogard, Stéphane Lafarge, et al.. (2019). Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.). Theoretical and Applied Genetics. 132(10). 2859–2880. 40 indexed citations
9.
Emanuelli, Francesco, Linda Zamariola, Silvia Giuliani, et al.. (2017). Cloning of Vgt3, a major QTL for flowering time in maize. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 37–37. 1 indexed citations
10.
Cormier, Fabien, Jacques Le Gouis, Pierre Dubreuil, Stéphane Lafarge, & Sébastien Praud. (2014). A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 127(12). 2679–2693. 75 indexed citations
11.
Bentley, Alison R., Marco Scutari, N. Gosman, et al.. (2014). Applying association mapping and genomic selection to the dissection of key traits in elite European wheat. Theoretical and Applied Genetics. 127(12). 2619–2633. 76 indexed citations
12.
Cormier, Fabien, Sébastien Faure, Pierre Dubreuil, et al.. (2013). A multi-environmental study of recent breeding progress on nitrogen use efficiency in wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 126(12). 3035–3048. 133 indexed citations
13.
Feuillet, Catherine, Nils Stein, Laura Rossini, et al.. (2012). Integrating cereal genomics to support innovation in the Triticeae. Functional & Integrative Genomics. 12(4). 573–583. 35 indexed citations
14.
Gouis, Jacques Le, Jacques Bordes, Catherine Ravel, et al.. (2011). Genome-wide association analysis to identify chromosomal regions determining components of earliness in wheat. Theoretical and Applied Genetics. 124(3). 597–611. 84 indexed citations
15.
Mezmouk, Sofiane, Pierre Dubreuil, Mickaël Bosio, et al.. (2011). Effect of population structure corrections on the results of association mapping tests in complex maize diversity panels. Theoretical and Applied Genetics. 122(6). 1149–1160. 50 indexed citations
16.
Faure, Sébastien, et al.. (2011). Analysis of genetic structure in a panel of elite wheat varieties and relevance for association mapping. Theoretical and Applied Genetics. 123(5). 715–727. 32 indexed citations
17.
18.
Quraishi, Umar Masood, Michaël Abrouk, Stéphanie Bolot, et al.. (2009). Genomics in cereals: from genome-wide conserved orthologous set (COS) sequences to candidate genes for trait dissection. Functional & Integrative Genomics. 9(4). 473–484. 77 indexed citations
19.
Ravel, Catherine, Pierre Martre, Pierre Sourdille, et al.. (2006). Single nucleotide polymorphism, genetic mapping, and expression of genes coding for the DOF wheat prolamin-box binding factor. Functional & Integrative Genomics. 6(4). 310–321. 26 indexed citations
20.
Ravel, Catherine, Sébastien Praud, Alain Murigneux, et al.. (2005). Identification of Glu-B1-1 as a candidate gene for the quantity of high-molecular-weight glutenin in bread wheat (Triticum aestivum L.) by means of an association study. Theoretical and Applied Genetics. 112(4). 738–743. 57 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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