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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:

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits
Iona M. MacLeod, P.J. Bowman, Christy J. Vander Jagt, et al.
BMC Genomics (2016) Vol. 17, Iss. 1
Open Access | Times Cited: 298

Showing 1-25 of 298 citing articles:

Harnessing genomics to fast-track genetic improvement in aquaculture
Ross D. Houston, Tim P. Bean, Daniel J. Macqueen, et al.
Nature Reviews Genetics (2020) Vol. 21, Iss. 7, pp. 389-409
Open Access | Times Cited: 416
1000 Bull Genomes Project to Map Simple and Complex Genetic Traits in Cattle: Applications and Outcomes
Ben J. Hayes, Hans D. Daetwyler
Annual Review of Animal Biosciences (2018) Vol. 7, Iss. 1, pp. 89-102
Closed Access | Times Cited: 328
Harnessing genomic information for livestock improvement
Michel Georges, Carole Charlier, Ben J. Hayes
Nature Reviews Genetics (2018) Vol. 20, Iss. 3, pp. 135-156
Open Access | Times Cited: 303
Accelerating crop genetic gains with genomic selection
Kai P. Voss‐Fels, Mark Cooper, Ben J. Hayes
Theoretical and Applied Genetics (2018) Vol. 132, Iss. 3, pp. 669-686
Closed Access | Times Cited: 285
Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants
Yunbi Xu, Xiaogang Liu, Junjie Fu, et al.
Plant Communications (2019) Vol. 1, Iss. 1, pp. 100005-100005
Open Access | Times Cited: 212
Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture
Michael E. Goddard, Kathryn E. Kemper, Iona M. MacLeod, et al.
Proceedings of the Royal Society B Biological Sciences (2016) Vol. 283, Iss. 1835, pp. 20160569-20160569
Open Access | Times Cited: 174
Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods
Bo Li, Nanxi Zhang, You‐Gan Wang, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 166
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
Zhili Zheng, Shouye Liu, Julia Sidorenko, et al.
Nature Genetics (2024) Vol. 56, Iss. 5, pp. 767-777
Open Access | Times Cited: 31
Recent advances in polygenic scores: translation, equitability, methods and FAIR tools
Ruidong Xiang, Martin Kelemen, Yu Xu, et al.
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 30
Functional Annotation of Animal Genomes (FAANG): Current Achievements and Roadmap
Elisabetta Giuffra, Christopher K. Tuggle, Alan Archibald, et al.
Annual Review of Animal Biosciences (2018) Vol. 7, Iss. 1, pp. 65-88
Closed Access | Times Cited: 159
Selecting sequence variants to improve genomic predictions for dairy cattle
P.M. VanRaden, M.E. Tooker, Jeffrey R. O’Connell, et al.
Genetics Selection Evolution (2017) Vol. 49, Iss. 1
Open Access | Times Cited: 139
Comprehensive analyses of 723 transcriptomes enhance genetic and biological interpretations for complex traits in cattle
Lingzhao Fang, Wentao Cai, Shuli Liu, et al.
Genome Research (2020) Vol. 30, Iss. 5, pp. 790-801
Open Access | Times Cited: 136
Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits
Ruidong Xiang, Irene van den Berg, Iona M. MacLeod, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 39, pp. 19398-19408
Open Access | Times Cited: 128
Genomic prediction using preselected DNA variants from a GWAS with whole-genome sequence data in Holstein–Friesian cattle
R.F. Veerkamp, A.C. Bouwman, C. Schrooten, et al.
Genetics Selection Evolution (2016) Vol. 48, Iss. 1
Open Access | Times Cited: 112
Evaluation of the accuracy of imputed sequence variant genotypes and their utility for causal variant detection in cattle
Hubert Pausch, Iona M. MacLeod, Ruedi Fries, et al.
Genetics Selection Evolution (2017) Vol. 49, Iss. 1
Open Access | Times Cited: 105
Widespread signatures of natural selection across human complex traits and functional genomic categories
Jian Zeng, Angli Xue, Longda Jiang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 102
Incorporation of causative quantitative trait nucleotides in single-step GBLUP
Breno Fragomeni, Daniela Lourenço, Yutaka Masuda, et al.
Genetics Selection Evolution (2017) Vol. 49, Iss. 1
Open Access | Times Cited: 96
Symposium review: How to implement genomic selection
P.M. VanRaden
Journal of Dairy Science (2020) Vol. 103, Iss. 6, pp. 5291-5301
Open Access | Times Cited: 96
Apple whole genome sequences: recent advances and new prospects
Cameron Peace, Luca Bianco, Michela Troggio, et al.
Horticulture Research (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 93
The role of genetics in mainstreaming the production of new and orphan crops to diversify food systems and support human nutrition
Ian K. Dawson, W. Powell, Prasad Hendre, et al.
New Phytologist (2019) Vol. 224, Iss. 1, pp. 37-54
Open Access | Times Cited: 89
Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations
Ruidong Xiang, Iona M. MacLeod, Hans D. Daetwyler, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 88
Genomic Prediction Using Low Density Marker Panels in Aquaculture: Performance Across Species, Traits, and Genotyping Platforms
Christina Kriaridou, Smaragda Tsairidou, Ross D. Houston, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 83
Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls
Jicai Jiang, John B. Cole, Ellen Freebern, et al.
Communications Biology (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 77
Genomic selection and its research progress in aquaculture breeding
Hailiang Song, Tian Dong, Xiaoyu Yan, et al.
Reviews in Aquaculture (2022) Vol. 15, Iss. 1, pp. 274-291
Closed Access | Times Cited: 61
Use of multiple ‘omics techniques to accelerate the breeding of abiotic stress tolerant crops
Mark C. Derbyshire, Jacqueline Batley, David Edwards
Current Plant Biology (2022) Vol. 32, pp. 100262-100262
Open Access | Times Cited: 46
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