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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Non-additive Effects in Genomic Selection
L. Varona, Andrés Legarra, M. Á. Toro, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Heterosis and Hybrid Crop Breeding: A Multidisciplinary Review
Marlee R. Labroo, Anthony J. Studer, Jessica Rutkoski
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 158
Factors Affecting the Accuracy of Genomic Selection for Agricultural Economic Traits in Maize, Cattle, and Pig Populations
Haohao Zhang, Lilin Yin, Meiyue Wang, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 148
Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection
Seema Yadav, Phillip Jackson, Xianming Wei, et al.
Agronomy (2020) Vol. 10, Iss. 4, pp. 585-585
Open Access | Times Cited: 80
Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction
Mitchell Gill, Robyn Anderson, Haifei Hu, et al.
BMC Plant Biology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 38
Structure and function of rice hybrid genomes reveal genetic basis and optimal performance of heterosis
Zhoulin Gu, Junyi Gong, Zhou Zhu, et al.
Nature Genetics (2023) Vol. 55, Iss. 10, pp. 1745-1756
Open Access | Times Cited: 35
Genomic selection strategies for clonally propagated crops
Christian R. Werner, R. Chris Gaynor, Daniel James Sargent, et al.
Theoretical and Applied Genetics (2023) Vol. 136, Iss. 4
Open Access | Times Cited: 28
Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattle
Victor Breno Pedrosa, Shi‐Yi Chen, Leonardo Siqueira Glória, et al.
Journal of Dairy Science (2024) Vol. 107, Iss. 7, pp. 4758-4771
Open Access | Times Cited: 8
Development and Validation of 58K SNP-Array and High-Density Linkage Map in Nile Tilapia (O. niloticus)
Rajesh Joshi, Mariann Árnyasi, Sigbjørn Lien, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 63
Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops
Fabiana Freitas Moreira, Hinayah R. Oliveira, Jeffrey J. Volenec, et al.
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 62
The application of pangenomics and machine learning in genomic selection in plants
Philipp E. Bayer, Jakob Petereit, Monica F. Danilevicz, et al.
The Plant Genome (2021) Vol. 14, Iss. 3
Closed Access | Times Cited: 49
Genetic architecture and major genes for backfat thickness in pig lines of diverse genetic backgrounds
Miguel Gozalo‐Marcilla, Jaap Buntjer, Martin Johnsson, et al.
Genetics Selection Evolution (2021) Vol. 53, Iss. 1
Open Access | Times Cited: 47
Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects
Seema Yadav, Xianming Wei, Priya Joyce, et al.
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 7, pp. 2235-2252
Open Access | Times Cited: 42
Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs
Xue Wang, Shaolei Shi, Guijiang Wang, et al.
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 35
Symposium review: Exploiting homozygosity in the era of genomics—Selection, inbreeding, and mating programs
Christian Maltecca, Francesco Tiezzi, John B. Cole, et al.
Journal of Dairy Science (2020) Vol. 103, Iss. 6, pp. 5302-5313
Open Access | Times Cited: 40
Sequencing depth and genotype quality: accuracy and breeding operation considerations for genomic selection applications in autopolyploid crops
Dorcus C. Gemenet, Hannele Lindqvist‐Kreuze, Bert De Boeck, et al.
Theoretical and Applied Genetics (2020) Vol. 133, Iss. 12, pp. 3345-3363
Open Access | Times Cited: 40
Comparison of genomic selection models for exploring predictive ability of complex traits in breeding programs
Lance F. Merrick, Arron H. Carter
The Plant Genome (2021) Vol. 14, Iss. 3
Open Access | Times Cited: 38
Advancing designer crops for climate resilience through an integrated genomics approach
Nur Shuhadah Mohd Saad, Ting Xiang Neik, William J. W. Thomas, et al.
Current Opinion in Plant Biology (2022) Vol. 67, pp. 102220-102220
Open Access | Times Cited: 24
Fully efficient, two-stage analysis of multi-environment trials with directional dominance and multi-trait genomic selection
Jeffrey B. Endelman
Theoretical and Applied Genetics (2023) Vol. 136, Iss. 4
Open Access | Times Cited: 13
Improving Genomic Selection With Quantitative Trait Loci and Nonadditive Effects Revealed by Empirical Evidence in Maize
Xiaogang Liu, Hongwu Wang, Xiaojiao Hu, et al.
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 41
QTL mapping and genome-wide prediction of heat tolerance in multiple connected populations of temperate maize
Delphine Van Inghelandt, Felix P. Frey, David Ries, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 36
Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models
Matías F. Schrauf, Johannes W. R. Martini, Henner Simianer, et al.
G3 Genes Genomes Genetics (2020) Vol. 10, Iss. 9, pp. 3137-3145
Open Access | Times Cited: 35
A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data
Osval A. Montesinos‐López, J. Cricelio Montesinos-López, P. K. Singh, et al.
G3 Genes Genomes Genetics (2020) Vol. 10, Iss. 11, pp. 4177-4190
Open Access | Times Cited: 33
Optimum mating designs for exploiting dominance in genomic selection schemes for aquaculture species
Jesús Fernández, Beatriz Villanueva, M. Á. Toro
Genetics Selection Evolution (2021) Vol. 53, Iss. 1
Open Access | Times Cited: 31
Modeling Illustrates That Genomic Selection Provides New Opportunities for Intercrop Breeding
Jon Bančič, Christian R. Werner, R. Chris Gaynor, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 31
Genomic prediction of hybrid crops allows disentangling dominance and epistasis
David González-Diéguez, Andrés Legarra, Alain Charcosset, et al.
Genetics (2021) Vol. 218, Iss. 1
Open Access | Times Cited: 31
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