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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:

Genome-wide association study on Fourier transform infrared milk spectra for two Danish dairy cattle breeds
R.M. Zaalberg, Luc Janss, Bart Buitenhuis
BMC Genomic Data (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Genome-wide association studies for growth traits in broilers
Dachang Dou, Linyong Shen, Jiamei Zhou, et al.
BMC Genomic Data (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 30
Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle
Kathryn Tiplady, Thomas Lopdell, Edwardo Reynolds, et al.
Genetics Selection Evolution (2021) Vol. 53, Iss. 1
Open Access | Times Cited: 23
Comparison of the genetic characteristics of directly measured and Fourier-transform mid-infrared-predicted bovine milk fatty acids and proteins
Kathryn Tiplady, Thomas Lopdell, Richard G. Sherlock, et al.
Journal of Dairy Science (2022) Vol. 105, Iss. 12, pp. 9763-9791
Open Access | Times Cited: 14
Single-step genome-wide association for selected milk fatty acids in Dual-Purpose Belgian Blue cows
H. Atashi, Y. Chen, Hélène Wilmot, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 9, pp. 6299-6315
Open Access | Times Cited: 6
Spectral Profiling (Fourier Transform Infrared Spectroscopy) and Machine Learning for the Recognition of Milk from Different Bovine Breeds
Anna Antonella Spina, Carlotta Ceniti, Rosario De Fazio, et al.
Animals (2024) Vol. 14, Iss. 9, pp. 1271-1271
Open Access | Times Cited: 1
Exploring a Bayesian sparse factor model-based strategy for the genetic analysis of thousands of MIR-spectra traits for animal breeding
Y. Chen, H. Atashi, Jiayi Qu, et al.
Journal of Dairy Science (2024) Vol. 107, Iss. 11, pp. 9615-9627
Open Access | Times Cited: 1
The use of milk Fourier-transform mid-infrared spectroscopy to diagnose pregnancy and determine spectral regional associations with pregnancy in US dairy cows
Piush Khanal, Robert J. Tempelman
Journal of Dairy Science (2022) Vol. 105, Iss. 4, pp. 3209-3221
Open Access | Times Cited: 7
Overview of SNPs Associated with Trans Fat Content in Cow’s Milk
Ольга Быкова, Oleg Shevkunov, Olga Kostyunina
Agriculture (2023) Vol. 13, Iss. 6, pp. 1151-1151
Open Access | Times Cited: 2
Investigation of β‐hydroxybutyrate in early lactation of Simmental cows: Genetic parameters and genomic predictions
Laura Falchi, Giustino Gaspa, Alberto Cesarani, et al.
Journal of Animal Breeding and Genetics (2021) Vol. 138, Iss. 6, pp. 708-718
Open Access | Times Cited: 5
Using mid-infrared spectroscopy to increase GWAS power to detect QTL associated with blood urea nitrogen
Irene van den Berg, Phuong N. Ho, Tuan V. Nguyen, et al.
Genetics Selection Evolution (2022) Vol. 54, Iss. 1
Open Access | Times Cited: 3
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