Carolina Saint Pierre

2.3k total citations
37 papers, 1.1k citations indexed

About

Carolina Saint Pierre is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Carolina Saint Pierre has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 23 papers in Genetics and 7 papers in Agronomy and Crop Science. Recurrent topics in Carolina Saint Pierre's work include Genetics and Plant Breeding (23 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Genetic and phenotypic traits in livestock (18 papers). Carolina Saint Pierre is often cited by papers focused on Genetics and Plant Breeding (23 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Genetic and phenotypic traits in livestock (18 papers). Carolina Saint Pierre collaborates with scholars based in Mexico, United States and Australia. Carolina Saint Pierre's co-authors include Matthew Reynolds, José Crossa, Abu Sefyan I. Saad, Anthony G. Condon, Mateo Vargas, Richard Trethowan, Leonardo Crespo‐Herrera, Jae‐Bom Ohm, C. J. Peterson and Andrew S. Ross and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Carolina Saint Pierre

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolina Saint Pierre Mexico 15 1000 372 301 88 86 37 1.1k
E. A. Lee Canada 13 822 0.8× 263 0.7× 537 1.8× 41 0.5× 76 0.9× 22 1.0k
Fouad Maalouf Morocco 20 1.2k 1.2× 188 0.5× 271 0.9× 121 1.4× 79 0.9× 51 1.3k
Colleen Hunt Australia 23 1.2k 1.2× 751 2.0× 542 1.8× 75 0.9× 99 1.2× 47 1.5k
Yann Manès Mexico 11 1.5k 1.5× 794 2.1× 438 1.5× 51 0.6× 116 1.3× 19 1.6k
H. Ouabbou Morocco 14 888 0.9× 321 0.9× 171 0.6× 107 1.2× 149 1.7× 29 982
Uttam Kumar India 19 1.4k 1.4× 464 1.2× 297 1.0× 81 0.9× 104 1.2× 79 1.5k
Thomas Payne Mexico 22 1.3k 1.3× 481 1.3× 354 1.2× 36 0.4× 99 1.2× 41 1.4k
Yüksel Kaya Türkiye 14 950 0.9× 214 0.6× 302 1.0× 111 1.3× 47 0.5× 36 1.0k
Daniela Bustos‐Korts Netherlands 10 683 0.7× 334 0.9× 179 0.6× 64 0.7× 33 0.4× 17 761
Yin‐Gang Hu China 24 1.5k 1.5× 419 1.1× 511 1.7× 31 0.4× 217 2.5× 101 1.6k

Countries citing papers authored by Carolina Saint Pierre

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Saint Pierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolina Saint Pierre. 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 Carolina Saint Pierre. The network helps show where Carolina Saint Pierre may publish in the future.

Co-authorship network of co-authors of Carolina Saint Pierre

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Saint Pierre. A scholar is included among the top collaborators of Carolina Saint Pierre 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 Carolina Saint Pierre. Carolina Saint Pierre 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.
Montesinos‐López, Osval A., Guillermo Gerard, Velu Govindan, et al.. (2025). Improving wheat grain yield genomic prediction accuracy using historical data. G3 Genes Genomes Genetics. 15(4). 2 indexed citations
2.
Montesinos‐López, Osval A., Josafhat Salinas‐Ruíz, Abelardo Montesinos‐López, et al.. (2025). Optimizing genomic prediction with transfer learning under a ridge regression framework. The Plant Genome. 18(3). e70049–e70049. 1 indexed citations
3.
Cuevas, Jaime, Johannes W. R. Martini, Guillermo Gerard, et al.. (2025). Enhancing wheat genomic prediction by a hybrid kernel approach. Frontiers in Plant Science. 16. 1605202–1605202. 1 indexed citations
4.
Crossa, José, Johannes W. R. Martini, Paulino Pérez‐Rodríguez, et al.. (2025). Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software. Trends in Plant Science. 30(7). 756–774. 13 indexed citations
5.
6.
Montesinos‐López, Osval A., Leonardo Crespo‐Herrera, Carolina Saint Pierre, et al.. (2024). Data Augmentation Enhances Plant-Genomic-Enabled Predictions. Genes. 15(3). 286–286. 3 indexed citations
7.
Montesinos‐López, Abelardo, Leonardo Crespo‐Herrera, Guillermo Gerard, et al.. (2024). Deep learning methods improve genomic prediction of wheat breeding. Frontiers in Plant Science. 15. 1324090–1324090. 15 indexed citations
8.
Crossa, José, Osval A. Montesinos‐López, Germano Costa‐Neto, et al.. (2024). Machine learning algorithms translate big data into predictive breeding accuracy. Trends in Plant Science. 30(2). 167–184. 19 indexed citations
9.
Montesinos‐López, Osval A., Carolina Saint Pierre, Salvador A. Gezan, et al.. (2023). Optimizing Sparse Testing for Genomic Prediction of Plant Breeding Crops. Genes. 14(4). 927–927. 11 indexed citations
10.
11.
Montesinos‐López, Osval A., Leonardo Crespo‐Herrera, Alencar Xavier, et al.. (2023). A marker weighting approach for enhancing within-family accuracy in genomic prediction. G3 Genes Genomes Genetics. 14(2). 5 indexed citations
12.
Montesinos‐López, Osval A., José Crossa, Carolina Saint Pierre, et al.. (2023). Multivariate Genomic Hybrid Prediction with Kernels and Parental Information. International Journal of Molecular Sciences. 24(18). 13799–13799. 1 indexed citations
13.
Reynolds, Matthew, Scott Chapman, Leonardo Crespo‐Herrera, et al.. (2020). Breeder friendly phenotyping. Plant Science. 295. 110396–110396. 162 indexed citations
14.
Crossa, José, Diego Jarquín, Jorge Franco, et al.. (2016). Genomic Prediction of Gene Bank Wheat Landraces. G3 Genes Genomes Genetics. 6(7). 1819–1834. 137 indexed citations
15.
Sehgal, Deepmala, Prashant Vikram, Carolina Sansaloni, et al.. (2015). Exploring and Mobilizing the Gene Bank Biodiversity for Wheat Improvement. PLoS ONE. 10(7). e0132112–e0132112. 75 indexed citations
16.
Pierre, Carolina Saint, José Crossa, Yann Manès, & Matthew Reynolds. (2009). Gene action of canopy temperature in bread wheat under diverse environments. Theoretical and Applied Genetics. 120(6). 1107–1117. 58 indexed citations
17.
Pierre, Carolina Saint, et al.. (2008). White Wheat Grain Quality Changes with Genotype, Nitrogen Fertilization, and Water Stress. Agronomy Journal. 100(2). 414–420. 43 indexed citations
18.
Pierre, Carolina Saint, et al.. (2007). Winter wheat genotypes under different levels of nitrogen and water stress: Changes in grain protein composition. Journal of Cereal Science. 47(3). 407–416. 93 indexed citations
19.
Pierre, Carolina Saint & Carlos Alberto Busso. (2006). Capacidad competitiva y tolerancia a la defoliación en Stipa clarazii, Stipa tenuis y Stipa ambigua. 75. 21–30. 1 indexed citations
20.
Pierre, Carolina Saint, et al.. (2004). Soil resource acquisition mechanisms, nutrient concentrations and growth in perennial grasses. Interciencia. 29(6). 303–310. 10 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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Rankless by CCL
2026