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:
Contribution of model organism phenotypes to the computational identification of human disease genes
Sarah M. Alghamdi, Paul N. Schofield, Robert Hoehndorf
Disease Models & Mechanisms (2022) Vol. 15, Iss. 7
Open Access | Times Cited: 9
Sarah M. Alghamdi, Paul N. Schofield, Robert Hoehndorf
Disease Models & Mechanisms (2022) Vol. 15, Iss. 7
Open Access | Times Cited: 9
Showing 9 citing articles:
Prioritizing genomic variants through neuro-symbolic, knowledge-enhanced learning
Azza Althagafi, Fernando Zhapa-Camacho, Robert Hoehndorf
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 2
Azza Althagafi, Fernando Zhapa-Camacho, Robert Hoehndorf
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 2
Computational strategies for cross-species knowledge transfer and translational biomedicine.
Hao Yuan, Christopher A Mancuso, Kayla A Johnson, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
Hao Yuan, Christopher A Mancuso, Kayla A Johnson, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
Lateral thinking in syndromic congenital cardiovascular disease
Agnese Kocere, Robert L. Lalonde, Christian Mosimann, et al.
Disease Models & Mechanisms (2023) Vol. 16, Iss. 5
Open Access | Times Cited: 2
Agnese Kocere, Robert L. Lalonde, Christian Mosimann, et al.
Disease Models & Mechanisms (2023) Vol. 16, Iss. 5
Open Access | Times Cited: 2
SSLpheno: a self-supervised learning approach for gene–phenotype association prediction using protein–protein interactions and gene ontology data
Xuehua Bi, Weiyang Liang, Qichang Zhao, et al.
Bioinformatics (2023) Vol. 39, Iss. 11
Open Access | Times Cited: 2
Xuehua Bi, Weiyang Liang, Qichang Zhao, et al.
Bioinformatics (2023) Vol. 39, Iss. 11
Open Access | Times Cited: 2
Prioritizing genomic variants through neuro-symbolic, knowledge-enhanced learning
Azza Althagafi, Fernando Zhapa-Camacho, Robert Hoehndorf
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Azza Althagafi, Fernando Zhapa-Camacho, Robert Hoehndorf
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics
Nicolas Matentzoglu, Susan M. Bello, Ray Stefancsik, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Nicolas Matentzoglu, Susan M. Bello, Ray Stefancsik, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The informatics of developmental phenotypes
Paul N. Schofield, Robert Hoehndorf, Georgios V. Gkoutos, et al.
Elsevier eBooks (2024), pp. 457-470
Closed Access
Paul N. Schofield, Robert Hoehndorf, Georgios V. Gkoutos, et al.
Elsevier eBooks (2024), pp. 457-470
Closed Access
Improving the classification of cardinality phenotypes using collections
Sarah M. Alghamdi, Robert Hoehndorf
Journal of Biomedical Semantics (2023) Vol. 14, Iss. 1
Open Access
Sarah M. Alghamdi, Robert Hoehndorf
Journal of Biomedical Semantics (2023) Vol. 14, Iss. 1
Open Access
