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:

Genomic Prediction Based on SNP Functional Annotation Using Imputed Whole-Genome Sequence Data in Korean Hanwoo Cattle
Bryan Irvine Lopez, Na-Rae An, Krishnamoorthy Srikanth, et al.
Frontiers in Genetics (2021) Vol. 11
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Genomic prediction with whole-genome sequence data in intensely selected pig lines
Roger Ros‐Freixedes, Martin Johnsson, Andrew Whalen, et al.
Genetics Selection Evolution (2022) Vol. 54, Iss. 1
Open Access | Times Cited: 41

Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study
Sungbong Jang, S. Tsuruta, Natália Galoro Leite, et al.
Genetics Selection Evolution (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 14

The contribution of whole-genome sequence data to genome-wide association studies in livestock: Outcomes and perspectives
Roger Ros‐Freixedes
Livestock Science (2024) Vol. 281, pp. 105430-105430
Open Access | Times Cited: 4

Prediction of Hanwoo Cattle Phenotypes from Genotypes Using Machine Learning Methods
Swati Srivastava, Bryan Irvine Lopez, Himansu Kumar, et al.
Animals (2021) Vol. 11, Iss. 7, pp. 2066-2066
Open Access | Times Cited: 18

Assessment of genomic breeding values and their accuracies for carcass traits in Jeju Black cattle using whole‐genome SNP chip panels
Md Azizul Haque, Asif Iqbal, Haechang Bae, et al.
Journal of Animal Breeding and Genetics (2023) Vol. 140, Iss. 5, pp. 519-531
Closed Access | Times Cited: 7

Rare and population-specific functional variation across pig lines
Roger Ros‐Freixedes, B.D. Valente, Ching-Yi Chen, et al.
Genetics Selection Evolution (2022) Vol. 54, Iss. 1
Open Access | Times Cited: 11

Increased Accuracy of Genomic Prediction Using Preselected SNPs from GWAS with Imputed Whole-Genome Sequence Data in Pigs
Yiyi Liu, Yuling Zhang, Fuchen Zhou, et al.
Animals (2023) Vol. 13, Iss. 24, pp. 3871-3871
Open Access | Times Cited: 5

Estimation of genetic correlations and genomic prediction accuracy for reproductive and carcass traits in Hanwoo cows
Md Azizul Haque, Asif Iqbal, Mohammad Zahangir Alam, et al.
Journal of Animal Science and Technology (2023) Vol. 66, Iss. 4, pp. 682-701
Open Access | Times Cited: 4

Genome-Wide Association Study for Weight Loss at the End of Dry-Curing of Hams Produced from Purebred Heavy Pigs
Sara Faggion, V. Bonfatti, Paolo Carnier
Animals (2024) Vol. 14, Iss. 13, pp. 1983-1983
Open Access | Times Cited: 1

Estimation of genetic correlations and genomic prediction accuracy for reproductive and carcass traits in Hanwoo cows
Md Azizul Haque, Asif Iqbal, Mohammad Zahangir Alam, et al.
Journal of Animal Science and Technology (2024)
Open Access | Times Cited: 1

Unveiling Genetic Potential for Equine Meat Production: A Bioinformatics Approach
Martín Simón, Ana Kaić, Klemen Potočnik
Animals (2024) Vol. 14, Iss. 16, pp. 2441-2441
Open Access | Times Cited: 1

GWAS on Imputed Whole-Genome Sequence Variants Reveal Genes Associated with Resistance to Piscirickettsia salmonis in Rainbow Trout (Oncorhynchus mykiss)
Charles Oswaldo Roncancio, Baltasar F. García, Jousepth Gallardo-Hidalgo, et al.
Genes (2022) Vol. 14, Iss. 1, pp. 114-114
Open Access | Times Cited: 7

Dimensionality of genomic information and its impact on GWA and variant selection: a simulation study
Sungbong Jang, S. Tsuruta, Natália Galoro Leite, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6

Multi-line ssGBLUP evaluation using preselected markers from whole-genome sequence data in pigs
Sungbong Jang, Roger Ros‐Freixedes, John M. Hickey, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3

Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs
Sungbong Jang, Roger Ros‐Freixedes, John M. Hickey, et al.
Genetics Selection Evolution (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 3

Association Mapping Combined with Whole Genome Sequencing Data Reveals Candidate Causal Variants for Sclerotinia Stem Rot Resistance in Brassica napus
Toby E. Newman, Yuphin Khentry, Audrey E. Leo, et al.
Phytopathology (2023) Vol. 113, Iss. 5, pp. 800-811
Closed Access | Times Cited: 2

Genetic parameters, genomic prediction, and identification of regulatory regions located on chromosome 14 for weight traits in Nellore cattle
Miller Teodoro, Amanda Marchi Maiorano, Gabriel Soares Campos, et al.
Journal of Animal Breeding and Genetics (2024)
Closed Access

Genomic prediction with whole-genome sequence data in intensely selected pig lines
Roger Ros‐Freixedes, Martin Johnsson, Andrew Whalen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1

Genomic prediction for meat and carcass traits in Nellore cattle using a Markov blanket algorithm
Fernando Brito Lopes, Fernando Baldi, L. C. Brunes, et al.
Journal of Animal Breeding and Genetics (2022) Vol. 140, Iss. 1, pp. 1-12
Closed Access | Times Cited: 1

Using large-scale whole-genome sequence data for single-step genomic predictions in maternal and terminal pig lines
Sungbong Jang, Roger Ros‐Freixedes, John M. Hickey, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1

Variance component estimates for growth traits in beef cattle using selected variants from imputed low-pass sequence data
Chad A Russell, L. A. Kuehn, W. M. Snelling, et al.
Journal of Animal Science (2023) Vol. 101
Open Access

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