Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 selection: the option for new robustness traits?
M.P.L. Calus, D.P. Berry, Georgios Banos, et al.
Advances in Animal Biosciences (2013) Vol. 4, Iss. 3, pp. 618-625
Open Access | Times Cited: 24

Showing 24 citing articles:

Genetics and genomics of reproductive performance in dairy and beef cattle
D.P. Berry, E. Wall, J.E. Pryce
animal (2014) Vol. 8, pp. 105-121
Open Access | Times Cited: 359
Review: Deciphering animal robustness. A synthesis to facilitate its use in livestock breeding and management
N.C. Friggens, Fabienne Blanc, D.P. Berry, et al.
animal (2017) Vol. 11, Iss. 12, pp. 2237-2251
Open Access | Times Cited: 153
Symposium review: Novel strategies to genetically improve mastitis resistance in dairy cattle
Pauline Martin, Herman W. Barkema, Luiz F. Brito, et al.
Journal of Dairy Science (2018) Vol. 101, Iss. 3, pp. 2724-2736
Open Access | Times Cited: 127
Invited review: Phenotyping strategies and quantitative-genetic background of resistance, tolerance and resilience associated traits in dairy cattle
S. König, Katharina May
animal (2018) Vol. 13, Iss. 5, pp. 897-908
Open Access | Times Cited: 66
Development and implementation of genomic predictions in beef cattle
D.P. Berry, José Fernando Garcia, Dorian J. Garrick
Animal Frontiers (2016) Vol. 6, Iss. 1, pp. 32-38
Open Access | Times Cited: 62
Using genomics to enhance selection of novel traits in North American dairy cattle,
Jacques Chesnais, T.A. Cooper, G.R. Wiggans, et al.
Journal of Dairy Science (2016) Vol. 99, Iss. 3, pp. 2413-2427
Open Access | Times Cited: 50
Grazing Allometry: Anatomy, Movement, and Foraging Behavior of Three Cattle Breeds of Different Productivity
Caren M. Pauler, J. Isselstein, Joël Bérard, et al.
Frontiers in Veterinary Science (2020) Vol. 7
Open Access | Times Cited: 41
Assessment of long-term trends in genetic mean and variance after the introduction of genomic selection in layers: a simulation study
Ivan Pocrnić, Jana Obšteter, R. Chris Gaynor, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 13
The Resilient Dairy Genome Project—A general overview of methods and objectives related to feed efficiency and methane emissions
Nienke van Staaveren, Hinayah R. Oliveira, Kerry Houlahan, et al.
Journal of Dairy Science (2023) Vol. 107, Iss. 3, pp. 1510-1522
Open Access | Times Cited: 12
Assessing the diversity of trade-offs between life functions in early lactation dairy cows
Étienne Ollion, S. Ingrand, Luc Delaby, et al.
Livestock Science (2015) Vol. 183, pp. 98-107
Closed Access | Times Cited: 26
Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid technology
Marco Antônio Peixoto, Igor Ferreira Coelho, Kristen A. Leach, et al.
G3 Genes Genomes Genetics (2024) Vol. 14, Iss. 8
Open Access | Times Cited: 2
Effect of heat stress on dairy cow production, reproduction, health, and potential mitigation strategies
Abdul Rahman Sesay
Journal of Applied and Advanced Research (2023), pp. 13-25
Open Access | Times Cited: 6
Sustainable Management of Animal Genetic Resources to Improve Low-Input Livestock Production: Insights into Local Beninese Cattle Populations
Sèyi Fridaïus Ulrich Vanvanhossou, Luc Hippolyte Dossa, Sven König
Sustainability (2021) Vol. 13, Iss. 17, pp. 9874-9874
Open Access | Times Cited: 14
Inter-animal genetic variability exist in organoleptic properties of prime beef meat
D.P. Berry, Stephen Conroy, P.J. Hegarty, et al.
Meat Science (2020) Vol. 173, pp. 108401-108401
Closed Access | Times Cited: 11
Association of SNPs in AMY1A and AMY2A genes with chicken meat quality and clinical–chemical traits in chicken
Dongwon Seo, Hee-Bok Park, Nuri Choi, et al.
Journal of the Faculty of Agriculture Kyushu University (2016) Vol. 61, Iss. 1, pp. 121-125
Open Access | Times Cited: 7
Genomics for phenotype prediction and management purposes
Tong Yin, S. König
Animal Frontiers (2016) Vol. 6, Iss. 1, pp. 65-72
Open Access | Times Cited: 5
Allele substitution and dominance effects of CD166/ALCAM gene polymorphisms for endoparasite resistance and test-day traits in a small cattle population using logistic regression analyses
Katharina May, Christina Weimann, Carsten Scheper, et al.
Mammalian Genome (2019) Vol. 30, Iss. 9-10, pp. 301-317
Closed Access | Times Cited: 5
Preferences of European dairy stakeholders in breeding for resilient and efficient cattle: A best-worst scaling approach
J. G. Burns, Klaus Glenk, Vera Eory, et al.
Journal of Dairy Science (2021) Vol. 105, Iss. 2, pp. 1265-1280
Open Access | Times Cited: 5
Assessment of long-term trends in genetic mean and variance after the introduction of genomic selection in layers: a simulation study
Ivan Pocrnić, Jana Obšteter, R. Chris Gaynor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Cattle genomics: genome projects, current status, and future applications
Chandra Sekhar Mukhopadhyay, Amit Kumar, Rajib Deb
Elsevier eBooks (2019), pp. 3-28
Closed Access | Times Cited: 2
Predictions of Indigenous Chicken Phenotypes from Genotypes: Comparison Between Machine Learning and conventional Linear Models
CHESANG SUMUKWO, T.K. Muasya, Kiplangat Ngeno
Research Square (Research Square) (2019)
Open Access | Times Cited: 1
Characteristics of robust animals for grass-based production systems
Luc Delaby, F. Buckley, N. McHugh, et al.
Irish Journal of Agricultural and Food Research (2021) Vol. 59, Iss. 2
Open Access | Times Cited: 1
Predictions of Indigenous Chicken Phenotypes from Genotypes: Comparison Between Machine Learning and conventional Linear Models
Sumukwo Chesang, Sumukwo Chesang, T.K. Muasya, et al.
Research Square (Research Square) (2019)
Open Access
Page 1

Scroll to top