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:

A novel Synthetic phenotype association study approach reveals the landscape of association for genomic variants and phenotypes
Mária Škrabišová, Nicholas Dietz, Shuai Zeng, et al.
Journal of Advanced Research (2022) Vol. 42, pp. 117-133
Open Access | Times Cited: 11

Showing 11 citing articles:

Application of hybrid machine learning algorithm in multi-objective optimization of green building energy efficiency
Yi Zhu, Wen Xu, Wenhong Luo, et al.
Energy (2025), pp. 133581-133581
Closed Access | Times Cited: 3

Natural and artificial selection of multiple alleles revealed through genomic analyses
Jana Biová, Ivana Kaňovská, Yen On Chan, et al.
Frontiers in Genetics (2024) Vol. 14
Open Access | Times Cited: 6

Utilization of Plant Architecture Genes in Soybean to Positively Impact Adaptation to High Yield Environments
Jeong Hwa Kim, Andrew Scaboo, Vincent R. Pantalone, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 10

Genome-wide association study reveals GmFulb as candidate gene for maturity time and reproductive length in soybeans (Glycine max)
Diana M. Escamilla, Nicholas Dietz, Kristin Bilyeu, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0294123-e0294123
Open Access | Times Cited: 1

Soybean genomics research community strategic plan: A vision for 2024–2028
Robert M. Stupar, Anna M. Locke, Doug K. Allen, et al.
The Plant Genome (2024) Vol. 17, Iss. 4
Open Access | Times Cited: 1

AccuCalc: A Python Package for Accuracy Calculation in GWAS
Jana Biová, Nicholas Dietz, Yen On Chan, et al.
Genes (2023) Vol. 14, Iss. 1, pp. 123-123
Open Access | Times Cited: 4

Cataloging SCN resistance loci in North American public soybean breeding programs
A. S. M. Ashique Mahmood, Kristin Bilyeu, Mária Škrabišová, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 4

Soybean pod shattering resistance allele pdh1 and marker‐assisted selection
Dora Shimbwambwa, Christabel Nachilima, Swivia M. Hamabwe, et al.
Plant-Environment Interactions (2024) Vol. 5, Iss. 4
Open Access

New perspectives of post-GWAS analyses: From markers to causal genes for more precise crop breeding
Ivana Kaňovská, Jana Biová, Mária Škrabišová
Current Opinion in Plant Biology (2024) Vol. 82, pp. 102658-102658
Open Access

Identifying Rare Alleles Affecting Seed Coat and Hilum Color in Soybean (Glycine max) Using Applied Genomics
Ivana Kaňovská, Jana Biová, Jana Slivková, et al.
Legume Science (2024) Vol. 6, Iss. 4
Open Access

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