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:

Best practices for machine learning in antibody discovery and development
Leonard Wossnig, Norbert Furtmann, Andrew Buchanan, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 7, pp. 104025-104025
Open Access | Times Cited: 5

Showing 5 citing articles:

DyAb: sequence-based antibody design and property prediction in a low-data regime
Joshua Lin, Jennifer L. Hofmann, Andrew Leaver‐Fay, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Next-Generation Therapeutic Antibodies for Cancer Treatment: Advancements, Applications, and Challenges
A. Raja, Abhishek Kasana, Vaishali Verma
Molecular Biotechnology (2024)
Closed Access | Times Cited: 3

AIntibody: an experimentally validated in silico antibody discovery design challenge
M. Frank Erasmus, Laura P. Spector, Fortunato Ferrara, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 11, pp. 1637-1642
Open Access | Times Cited: 1

Functional and epitope specific monoclonal antibody discovery directly from immune sera using cryoEM
James A. Ferguson, Sai Sundar Rajan Raghavan, Garazi Peña Alzua, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

The Application of Machine Learning on Antibody Discovery and Optimization
Jiayao Zheng, Yu Wang, Liang Qin, et al.
Molecules (2024) Vol. 29, Iss. 24, pp. 5923-5923
Open Access

Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
Timothy J O'Donnell, Chakravarthi Kanduri, Giulio Isacchini, et al.
Cell Systems (2024) Vol. 15, Iss. 12, pp. 1168-1189
Open Access

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