Cécile Grenier

1.3k total citations
29 papers, 747 citations indexed

About

Cécile Grenier is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Cécile Grenier has authored 29 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 16 papers in Genetics and 8 papers in Agronomy and Crop Science. Recurrent topics in Cécile Grenier's work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Genetics and Plant Breeding (11 papers) and Genetic and phenotypic traits in livestock (6 papers). Cécile Grenier is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (16 papers), Genetics and Plant Breeding (11 papers) and Genetic and phenotypic traits in livestock (6 papers). Cécile Grenier collaborates with scholars based in France, Colombia and United States. Cécile Grenier's co-authors include Perla Hamon, P. J. Bramel‐Cox, Gebisa Ejeta, Patrick J. Rich, Joe Tohmé, Brigitte Courtois, Hidetoshi Asai, Dule Zhao, Alice G. Laborte and Tuong‐Vi Cao and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and BMC Bioinformatics.

In The Last Decade

Cécile Grenier

26 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cécile Grenier France 16 626 353 187 92 62 29 747
Roma Rani Das India 18 799 1.3× 284 0.8× 145 0.8× 61 0.7× 82 1.3× 35 872
Chad Hayes United States 18 665 1.1× 267 0.8× 272 1.5× 34 0.4× 168 2.7× 50 815
Maneet Rana India 12 464 0.7× 111 0.3× 147 0.8× 69 0.8× 90 1.5× 32 532
Gemechu Keneni Ethiopia 13 608 1.0× 92 0.3× 125 0.7× 92 1.0× 51 0.8× 53 668
Rajan Sharma India 16 636 1.0× 176 0.5× 127 0.7× 30 0.3× 83 1.3× 64 731
José Marcelo Soriano Viana Brazil 17 859 1.4× 560 1.6× 156 0.8× 16 0.2× 47 0.8× 115 1.1k
Magdalena Ruíz Spain 20 852 1.4× 176 0.5× 176 0.9× 63 0.7× 148 2.4× 47 936
R. F. Eastwood Australia 21 1.1k 1.8× 251 0.7× 317 1.7× 38 0.4× 85 1.4× 32 1.1k
K. D. Kofoid United States 12 448 0.7× 117 0.3× 183 1.0× 63 0.7× 64 1.0× 39 556
V G Reddy India 13 594 0.9× 241 0.7× 191 1.0× 33 0.4× 47 0.8× 24 717

Countries citing papers authored by Cécile Grenier

Since Specialization
Citations

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

Fields of papers citing papers by Cécile Grenier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cécile Grenier

This figure shows the co-authorship network connecting the top 25 collaborators of Cécile Grenier. A scholar is included among the top collaborators of Cécile Grenier 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 Cécile Grenier. Cécile Grenier 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.
Verdal, Hugues de, Vincent Segura, David Pot, et al.. (2024). Performance of phenomic selection in rice: Effects of population size and genotype-environment interactions on predictive ability. PLoS ONE. 19(12). e0309502–e0309502.
2.
Ramanantsoanirina, Alain, et al.. (2024). Participatory Plant Breeding to develop biofortified upland rice for marginal environments. Experimental Agriculture. 60.
3.
Wissuwa, Matthias, et al.. (2024). Stability of grain zinc concentrations across lowland rice environments favors zinc biofortification breeding. Frontiers in Plant Science. 15. 1293831–1293831. 5 indexed citations
4.
Bartholomé, Jérôme, et al.. (2024). Genomic selection for tolerance to aluminum toxicity in a synthetic population of upland rice. PLoS ONE. 19(8). e0307009–e0307009. 2 indexed citations
5.
Verdal, Hugues de, Julien Frouin, Constanza Quintero, et al.. (2023). Optimization of Multi-Generation Multi-location Genomic Prediction Models for Recurrent Genomic Selection in an Upland Rice Population. Rice. 16(1). 43–43. 2 indexed citations
6.
Bundó, Mireia, Jorge Gómez‐Ariza, Julien Frouin, et al.. (2022). Integrative Approach for Precise Genotyping and Transcriptomics of Salt Tolerant Introgression Rice Lines. Frontiers in Plant Science. 12. 797141–797141. 21 indexed citations
7.
8.
Taleon, Víctor, et al.. (2020). Retention of Zn, Fe and phytic acid in parboiled biofortified and non-biofortified rice. Food Chemistry X. 8. 100105–100105. 17 indexed citations
9.
Saito, Kazuki, Hidetoshi Asai, Dule Zhao, Alice G. Laborte, & Cécile Grenier. (2018). Progress in varietal improvement for increasing upland rice productivity in the tropics. Plant Production Science. 21(3). 145–158. 60 indexed citations
10.
Cao, Tuong‐Vi, et al.. (2015). DHOEM: a statistical simulation software for simulating new markers in real SNP marker data. BMC Bioinformatics. 16(1). 404–404.
11.
Grenier, Cécile, Tuong‐Vi Cao, Constanza Quintero, et al.. (2015). Accuracy of Genomic Selection in a Rice Synthetic Population Developed for Recurrent Selection Breeding. PLoS ONE. 10(8). e0136594–e0136594. 74 indexed citations
12.
Arbelaez, Juan David, Namrata Singh, Chih‐Wei Tung, et al.. (2015). Development and GBS-genotyping of introgression lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga. Molecular Breeding. 35(2). 81–81. 76 indexed citations
13.
Grenier, Cécile, et al.. (2013). Accuracy of genomic selection in a rice synthetic population developed for recurrent selection.. Agritrop (Cirad). 1 indexed citations
14.
15.
Tesso, Tesfaye, Issoufou Kapran, Cécile Grenier, et al.. (2008). The Potential for Crop‐to‐Wild Gene Flow in Sorghum in Ethiopia and Niger: A Geographic Survey. Crop Science. 48(4). 1425–1431. 42 indexed citations
16.
Rich, Patrick J., Cécile Grenier, & Gebisa Ejeta. (2004). Striga Resistance in the Wild Relatives of Sorghum. Crop Science. 44(6). 2221–2229. 76 indexed citations
17.
Grenier, Cécile, P. J. Bramel‐Cox, & Perla Hamon. (2001). Core Collection of Sorghum: I. Stratification Based on Eco‐Geographical Data. Crop Science. 41(1). 234–240. 65 indexed citations
18.
Grenier, Cécile, Perla Hamon, & P. J. Bramel‐Cox. (2001). Core Collection of Sorghum: II. Comparison of Three Random Sampling Strategies. Crop Science. 41(1). 241–246. 48 indexed citations
19.
Deu, Monique, Laurent Grivet, Gilles Trouche, et al.. (2000). Use of molecular markers in the sorghum breeding program at CIRAD. Agritrop (Cirad). 1 indexed citations
20.
Grenier, Cécile, P. J. Bramel‐Cox, Michel Noirot, K E P Rao, & Perla Hamon. (2000). Assessment of genetic diversity in three subsets constituted from the ICRISAT sorghum collection using random vs non-random sampling proceduresA. Using morpho-agronomical and passport data. Theoretical and Applied Genetics. 101(1-2). 190–196. 44 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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