Gaël Pressoir

9.0k total citations · 2 hit papers
16 papers, 4.6k citations indexed

About

Gaël Pressoir is a scholar working on Plant Science, Genetics and Insect Science. According to data from OpenAlex, Gaël Pressoir has authored 16 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 11 papers in Genetics and 2 papers in Insect Science. Recurrent topics in Gaël Pressoir's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetics and Plant Breeding (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Gaël Pressoir is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetics and Plant Breeding (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Gaël Pressoir collaborates with scholars based in United States, France and Mexico. Gaël Pressoir's co-authors include Stephen Kresovich, Edward S. Buckler, Jianming Yu, John Doebley, Masanori Yamasaki, Dahlia M. Nielsen, James B. Holland, William H. Briggs, I. Vroh Bi and Michael D. McMullen and has published in prestigious journals such as Nature Genetics, The Plant Journal and Science Advances.

In The Last Decade

Gaël Pressoir

14 papers receiving 4.5k 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.

A unified mixed-model method for association mapping that accounts for multiple levels of relatedness

2005 3.1k citations Jianming Yu, Gaël Pressoir et al. Nature Genetics profile →
Maize association population: a high‐resolution platform for quantitative trait locus dissection

2005 705 citations Sherry Flint-García, Anne‐Céline Thuillet et al. The Plant Journal profile →

Peers

Countries citing papers authored by Gaël Pressoir

Since Specialization

Citations

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

Fields of papers citing papers by Gaël Pressoir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaël Pressoir

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Ancient pangenomic origins of noncanonical NLR genes underlying the recent evolutionary rescue of a staple crop 2025 ·Science Advances ·(unknown), (unknown), Daniil M. Prigozhin, Meihua Cui, Gaël Pressoir, Adam Healey, John T. Lovell, Vamsi J. Nalam, Marc T. Nishimura, Geoffrey P. Morris	0
2	Globally deployed sorghum aphid resistance gene RMES1 is vulnerable to biotype shifts but is bolstered by RMES2 2024 ·The Plant Genome ·(unknown), Brian R. Rice, (unknown), (unknown), Gaël Pressoir, Vamsi J. Nalam, Geoffrey P. Morris	3
3	The recent evolutionary rescue of a staple crop depended on over half a century of global germplasm exchange 2022 ·Science Advances ·Kebede T. Muleta, (unknown), (unknown), (unknown), (unknown), J. Scott Armstrong, Sujan Mamidi, Christopher Plott, John P. Vogel, Peggy G. Lemaux, Todd C. Mockler, Jane Grimwood, Jeremy Schmutz, Gaël Pressoir, Geoffrey P. Morris	17
4	Production, post-harvest management and gender dynamics among smallholder peanut farmers in Haiti 2021 ·Agriculture & Food Security ·Genti Kostandini, (unknown), Gregory E. MacDonald, (unknown), (unknown), (unknown), Gaël Pressoir	3
5	Optimizing Genomic Selection for a Sorghum Breeding Program in Haiti: A Simulation Study 2018 ·G3 Genes Genomes Genetics ·Kebede T. Muleta, Gaël Pressoir, Geoffrey P. Morris	52
6	Une étude exhaustive et stratégique du secteur agricole/rural haïtien et des investissements publics requis pour son développement 2016 ·(unknown), (unknown), Gaël Pressoir, Thierry Giordano	1
7	Natural variation in maize architecture is mediated by allelic differences at the PINOID co‐ortholog barren inflorescence2 2009 ·The Plant Journal ·Gaël Pressoir, Patrick J. Brown, (unknown), Narasimham Upadyayula, Torbert Rocheford, Edward S. Buckler, Stephen Kresovich	29
8	Simulation Appraisal of the Adequacy of Number of Background Markers for Relationship Estimation in Association Mapping 2009 ·The Plant Genome ·Jianming Yu, Zhiwu Zhang, Chengsong Zhu, D. A. Tabanao, Gaël Pressoir, Mitchell R. Tuinstra, Stephen Kresovich, Rory J. Todhunter, Edward S. Buckler	63
9	Community Resources and Strategies for Association Mapping in Sorghum 2008 ·Crop Science ·Alexandra M. Casa, Gaël Pressoir, Patrick J. Brown, Sharon E. Mitchell, William L. Rooney, Mitchell R. Tuinstra, Cleve D. Franks, Stephen Kresovich	282
10	Maize association population: a high‐resolution platform for quantitative trait locus dissection breakdown → 2005 ·The Plant Journal ·Sherry Flint-García, Anne‐Céline Thuillet, Jianming Yu, Gaël Pressoir, (unknown), Sharon E. Mitchell, John Doebley, Stephen Kresovich, M. M. Goodman, Edward S. Buckler	705
11	A unified mixed-model method for association mapping that accounts for multiple levels of relatedness breakdown → 2005 ·Nature Genetics ·Jianming Yu, Gaël Pressoir, William H. Briggs, I. Vroh Bi, Masanori Yamasaki, John Doebley, Michael D. McMullen, Brandon S. Gaut, Dahlia M. Nielsen, James B. Holland, Stephen Kresovich, Edward S. Buckler	3060
12	Patterns of population structure in maize landraces from the Central Valleys of Oaxaca in Mexico 2003 ·Heredity ·Gaël Pressoir, Julien Berthaud	128
13	Population structure and strong divergent selection shape phenotypic diversification in maize landraces 2003 ·Heredity ·Gaël Pressoir, Julien Berthaud	140
14	Farmers management of maize landrace diversity. A case study in Oaxaca and beyond. 2002 ·Julien Berthaud, Gaël Pressoir, (unknown), M.R. Bellon	8
15	Genetic basis and mapping of the resistance to Rice yellow mottle virus. III. Analysis of QTL efficiency in introgressed progenies confirmed the hypothesis of complementary epistasis between two resistance QTLs 2001 ·Theoretical and Applied Genetics ·Nourollah Ahmadi, Laurence Albar, Gaël Pressoir, Alexandre Pinel, Denis Fargette, Alain Ghesquière	48
16	Genetic basis and mapping of the resistance to rice yellow mottle virus. II. Evidence of a complementary epistasis between two QTLs 1998 ·Theoretical and Applied Genetics ·Gaël Pressoir, Laurence Albar, Nourollah Ahmadi, (unknown), Mathias Lorieux, Denis Fargette, An Ghesquiere	25

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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