Ben J. Hayes

Genetics · 2001–2020

A researcher in the Science corpus: 17 papers; trusts 15 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 179 citations into it; #197 of 6,854 by trust here, #400 by citations
• Plant Science — 122 citations into it; #286 of 8,232 by trust here, #1,117 by citations
• Computational Biology & Bioinformatics — 10 citations into it

Whom Ben J. Hayes trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael E. Goddard
2. L. Schaeffer
3. David Habier
4. Paul M. Vanraden
5. Paul Scheet
6. Rohan L. Fernando
7. Peter M. Visscher
8. A. R. Gilmour
9. Naomi R. Wray
10. Matthew Stephens

Who trusts Ben J. Hayes overall

1. Michael E. Goddard
2. G. de los Campos
3. E. Heffner
4. Jean-Luc Jannink
5. Hans D. Daetwyler
6. R. Bernardo
7. G. Jiang
8. A. Lorenz
9. D. Grattapaglia
10. Xiaoping Zhou

Papers from Ben J. Hayes's perspective

Ordered by how strongly the researchers Ben J. Hayes trusts endorse each paper. Same corpus, a different order for every researcher.

1. Efficient methods to compute genomic predictions. (Journal of Dairy Science)
2. Regression Shrinkage and Selection via the Lasso
3. Common SNPs explain a large proportion of heritability for human height (Nature Genetics)
4. Invited review: Genomic selection in dairy cattle: progress and challenges. (Journal of Dairy Science)
5. The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values (Genetics)
6. PLINK: a tool set for whole-genome association and population-based linkage analyses.
7. Principal components analysis corrects for stratification in genome-wide association studies
8. Assumption-Free Estimation of Heritability from Genome-Wide Identity-by-Descent Sharing between Full Siblings (PLoS Genetics)
9. A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase. (American Journal of Human Genetics)
10. Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. (Journal of Dairy Science)

Their papers

• An extensive resource of single nucleotide polymorphism markers associated with Atlantic salmon (Salmo salar) expressed sequences (2007) — 111 citations
• Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection (2020) — 92 citations
• Breeding crops to feed 10 billion (2019) — 760 citations
• Genomic selection: A paradigm shift in animal breeding (2016) — 453 citations
• Genomic selection in crops, trees and forages: a review (2014) — 118 citations
• Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle (2014) — 771 citations
• Pitfalls of predicting complex traits from SNPs (2013) — 720 citations
• Prospects for genomic selection in forage plant species (2013) — 143 citations
• Genome-Wide Analysis of the World's Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection (2012) — 833 citations
• Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. (2012) — 614 citations
• Accuracy of estimated genomic breeding values for wool and meat traits in a multi-breed sheep population (2010) — 123 citations
• Mapping genes for complex traits in domestic animals and their use in breeding programmes (2009) — 1,044 citations
• Invited review: Genomic selection in dairy cattle: progress and challenges. (2009) — 1,699 citations
• Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds (2009) — 839 citations
• Increased accuracy of artificial selection by using the realized relationship matrix. (2009) — 627 citations
• Genomic selection. (2007) — 979 citations
• Prediction of total genetic value using genome-wide dense marker maps. (2001) — 7,420 citations