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:

Bias, dispersion, and accuracy of genomic predictions for feedlot and carcase traits in Australian Angus steers
Pâmela A. Alexandre, Yutao Li, Brad Hine, et al.
Genetics Selection Evolution (2021) Vol. 53, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

A review of sustainable cattle genetic improvement in the Peruvian Highlands
Wuesley Yusmein Alvarez-García, Yudith Muñoz‐Vílchez, Deyanira Figueroa, et al.
Veterinary and Animal Science (2025) Vol. 27, pp. 100427-100427
Open Access

Confidence intervals for validation statistics with data truncation in genomic prediction
Matias Bermann, Andrés Legarra, Alejandra Alvarez Munera, et al.
Genetics Selection Evolution (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 2

Genetic architecture and genomic selection of fatty acid composition predicted by Raman spectroscopy in rainbow trout
Carole Blay, Pierrick Haffray, Jonathan d’Ambrosio, et al.
BMC Genomics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 15

Low-density SNP panel for efficient imputation and genomic selection of milk production and technological traits in dairy sheep
Héctor Marina, R. Pelayo, Beatriz Gutiérrez‐Gil, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 10, pp. 8199-8217
Open Access | Times Cited: 8

Application of Mass Spectrometry for Determining the Geographic Production Area of Wagyu Beef
Shuji Ueda, Yasuharu Takashima, Yunosuke Gotou, et al.
Metabolites (2022) Vol. 12, Iss. 9, pp. 777-777
Open Access | Times Cited: 4

333. Genomic prediction accuracy: how low can we go?
Antônio Reverter, Pâmela A. Alexandre, Yutao Li, et al.
(2022), pp. 1396-1399
Closed Access | Times Cited: 4

Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy
Pâmela A. Alexandre, Silvia Teresa Rodríguez‐Ramilo, Núria Mach, et al.
Journal of Animal Breeding and Genetics (2024)
Open Access

Genomic Prediction Using Imputed Whole‐Genome Sequence Data in Australian Angus Cattle
N. Kamprasert, Hassan Aliloo, J. H. J. van der Werf, et al.
Journal of Animal Breeding and Genetics (2024)
Open Access

Genetic Analysis of Days Open in Moroccan Holstein Using Different Models to Account for Censored Data
Narjice Chafai, Bouabid Badaoui
Animals (2024) Vol. 14, Iss. 24, pp. 3614-3614
Open Access

New Cattle Genotyping System Based on DNA Microarray Technology
Yu. A. Stolpovsky, С. Б. Кузнецов, E. V. Solodneva, et al.
Russian Journal of Genetics (2022) Vol. 58, Iss. 8, pp. 885-898
Closed Access | Times Cited: 2

Correction to: Bias, dispersion, and accuracy of genomic predictions for feedlot and carcase traits in Australian Angus steers
Pâmela A. Alexandre, Yutao Li, Brad Hine, et al.
Genetics Selection Evolution (2021) Vol. 53, Iss. 1
Open Access | Times Cited: 1

Wagyu Feeder Check: A genomic-based tool to identify performance differences of Australian Wagyu and Wagyu crossed cattle
Antônio Reverter, Yutao Li, Pâmela A. Alexandre, et al.
Animal Production Science (2023) Vol. 64, Iss. 1
Open Access

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