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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:

Practical Machine Learning-Assisted Design Protocol for Protein Engineering: Transaminase Engineering for the Conversion of Bulky Substrates
Marian J. Menke, Yu‐Fei Ao, Uwe T. Bornscheuer
ACS Catalysis (2024) Vol. 14, Iss. 9, pp. 6462-6469
Closed Access | Times Cited: 11

Showing 11 citing articles:

Machine learning-guided multi-site combinatorial mutagenesis enhances the thermostability of pectin lyase
Zhihui Zhang, Zhixuan Li, Manli Yang, et al.
International Journal of Biological Macromolecules (2024) Vol. 277, pp. 134530-134530
Closed Access | Times Cited: 5
Advancements in biocatalysis: A comprehensive review of applications in organic synthesis
Vijayashree Nayak, D Deepika, Glanish Jude Martis, et al.
Synthetic Communications (2025), pp. 1-22
Closed Access
Machine learning-guided malate dehydrogenase engineering for improved production of L-malic acid in Aspergillus niger
Z. P. Zhang, Yuanyuan Zheng, Chi Zhang, et al.
Molecular Catalysis (2025) Vol. 578, pp. 114990-114990
Closed Access
Mechanism of influence of nattokinase terminal sequence on catalytic performance and molecular modification
Yuan Li, Hong Wang, Kongfang Yu, et al.
International Journal of Biological Macromolecules (2025), pp. 141872-141872
Closed Access
IECata: Interpretable bilinear attention network and evidential deep learning improve the catalytic efficiency prediction of enzymes
Jingjing Wang, Yanpeng Zhao, Zhijiang Yang, et al.
Research Square (Research Square) (2025)
Closed Access
Advances in the Molecular Modification of Microbial ω-Transaminases for Asymmetric Synthesis of Bulky Chiral Amines
Xinxing Gao, Qingming He, Hailong Chen, et al.
Microorganisms (2025) Vol. 13, Iss. 4, pp. 820-820
Open Access
Extending the Substrate Scope of an ω-Amine Transaminase from Aspergillus terreus by Reconstructing and Engineering an Ancestral Enzyme
Tingting Cai, Jie Chen, Linquan Wang, et al.
ACS Catalysis (2025), pp. 7429-7440
Closed Access
Physics-based modeling in the new era of enzyme engineering
Christopher Jurich, Qianzhen Shao, Xinchun Ran, et al.
Nature Computational Science (2025) Vol. 5, Iss. 4, pp. 279-291
Closed Access
Cutting-edge Computational Approaches in Enzyme Design and Activity Enhancement
Ruobin Sun, Dan Wu, Pengcheng Chen, et al.
Biochemical Engineering Journal (2024) Vol. 212, pp. 109510-109510
Closed Access | Times Cited: 3
Machine learning guided rational design of a non-heme iron-based lysine dioxygenase improves its total turnover number
R. Hunter Wilson, Anoop R. Damodaran, Ambika Bhagi‐Damodaran
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Machine learning-guided engineering of phosphocholine cytidylyltransferase for improved activity and halotolerance in citicoline production
Cheng Zheng, Qingshi Wen, Rongxin Miao, et al.
Food Bioscience (2024), pp. 105495-105495
Closed Access
Structure-guided engineering an (R)-transaminase from Mycobacterium neoaurum for efficient synthesis of chiral N-heterocyclic amines
Xiao Gao, Wenhe Zhang, Xiaowei Wei, et al.
International Journal of Biological Macromolecules (2024) Vol. 287, pp. 138591-138591
Closed Access
Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning
Chang Liu, Junxian Wu, Yongbo Chen, et al.
ChemCatChem (2024)
Closed Access
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