Antoine Allier

454 total citations
7 papers, 236 citations indexed

About

Antoine Allier is a scholar working on Genetics, Plant Science and Infectious Diseases. According to data from OpenAlex, Antoine Allier has authored 7 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 7 papers in Plant Science and 0 papers in Infectious Diseases. Recurrent topics in Antoine Allier's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (7 papers) and Genetic and phenotypic traits in livestock (7 papers). Antoine Allier is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (7 papers) and Genetic and phenotypic traits in livestock (7 papers). Antoine Allier collaborates with scholars based in France, Switzerland and Cyprus. Antoine Allier's co-authors include Alain Charcosset, Laurence Moreau, Christina Lehermeier, Simon Teyssèdre, Tristan Mary‐Huard, Alain Murigneux, Delphine Madur, Valérie Combes and Cyril Bauland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

Antoine Allier

7 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antoine Allier France	7	189	163	17	16	7	7	236
Alok Kumar Singh India	6	345 1.8×	149 0.9×	16 0.9×	19 1.2×	3 0.4×	20	371
Jeffrey Neyhart United States	9	195 1.0×	122 0.7×	16 0.9×	28 1.8×	5 0.7×	24	233
Isaac Kofi Bimpong Ivory Coast	11	363 1.9×	246 1.5×	50 2.9×	14 0.9×	3 0.4×	16	396
Valérie Combes France	4	258 1.4×	214 1.3×	32 1.9×	27 1.7×	2 0.3×	5	302
K. T. Ravikiran India	8	184 1.0×	55 0.3×	38 2.2×	16 1.0×	3 0.4×	13	213
Massáine Bandeira e Sousa Brazil	10	321 1.7×	164 1.0×	11 0.6×	14 0.9×	4 0.6×	25	345
Jinyu Wang United States	7	140 0.7×	97 0.6×	43 2.5×	31 1.9×	2 0.3×	9	188
Vennampally Nataraj India	10	243 1.3×	39 0.2×	21 1.2×	24 1.5×	2 0.3×	38	261
Javier Ireta Moreno Mexico	5	133 0.7×	58 0.4×	16 0.9×	10 0.6×	2 0.3×	15	149
Jonathan Kitt France	5	260 1.4×	152 0.9×	32 1.9×	23 1.4×		7	280

Countries citing papers authored by Antoine Allier

Since Specialization

Citations

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

Fields of papers citing papers by Antoine Allier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoine Allier

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

All Works

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7 of 7 papers shown

Allier, Antoine, Tristan Mary‐Huard, Cyril Bauland, et al.. (2024). Assessing the potential of genetic resource introduction into elite germplasm: a collaborative multiparental population for flint maize. Theoretical and Applied Genetics. 137(1). 19–19. 6 indexed citations

Mary‐Huard, Tristan, et al.. (2023). Improving the use of plant genetic resources to sustain breeding programs’ efficiency. Proceedings of the National Academy of Sciences. 120(14). e2205780119–e2205780119. 39 indexed citations

Allier, Antoine, Simon Teyssèdre, Christina Lehermeier, Laurence Moreau, & Alain Charcosset. (2020). Optimized breeding strategies to harness genetic resources with different performance levels. BMC Genomics. 21(1). 349–349. 57 indexed citations

Allier, Antoine, Laurence Moreau, Alain Charcosset, Simon Teyssèdre, & Christina Lehermeier. (2019). Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression. G3 Genes Genomes Genetics. 9(5). 1469–1479. 40 indexed citations

Allier, Antoine, Simon Teyssèdre, Christina Lehermeier, Alain Charcosset, & Laurence Moreau. (2019). Genomic prediction with a maize collaborative panel: identification of genetic resources to enrich elite breeding programs. Theoretical and Applied Genetics. 133(1). 201–215. 26 indexed citations

Allier, Antoine, et al.. (2019). Assessment of breeding programs sustainability: application of phenotypic and genomic indicators to a North European grain maize program. Theoretical and Applied Genetics. 132(5). 1321–1334. 20 indexed citations

Allier, Antoine, Christina Lehermeier, Alain Charcosset, Laurence Moreau, & Simon Teyssèdre. (2019). Improving Short- and Long-Term Genetic Gain by Accounting for Within-Family Variance in Optimal Cross-Selection. Frontiers in Genetics. 10. 1006–1006. 48 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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