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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:

Machine-Learning-Guided Library Design Cycle for Directed Evolution of Enzymes: The Effects of Training Data Composition on Sequence Space Exploration
Yutaka Saitô, Misaki Oikawa, Takumi Sato, et al.
ACS Catalysis (2021) Vol. 11, Iss. 23, pp. 14615-14624
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Machine learning for functional protein design
Pascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 216-228
Closed Access | Times Cited: 66
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65
Perspectives on Computational Enzyme Modeling: From Mechanisms to Design and Drug Development
Kwangho Nam, Yihan Shao, Dan Thomas Major, et al.
ACS Omega (2024)
Open Access | Times Cited: 15
Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design
Braun Markus, Gruber Christian C, Krassnigg Andreas, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 14454-14469
Open Access | Times Cited: 29
Bioengineered Enzymes and Precision Fermentation in the Food Industry
Fatma Boukid, S. Ganeshan, Yingxin Wang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10156-10156
Open Access | Times Cited: 26
Biophysics-based protein language models for protein engineering
Sam Gelman, Bryce Johnson, Chase R. Freschlin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9
Navigating the landscape of enzyme design: from molecular simulations to machine learning
Jiahui Zhou, Meilan Huang
Chemical Society Reviews (2024) Vol. 53, Iss. 16, pp. 8202-8239
Open Access | Times Cited: 8
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: 7
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning
Tobias Vornholt, Mojmír Mutný, Gregor W. Schmidt, et al.
ACS Central Science (2024) Vol. 10, Iss. 7, pp. 1357-1370
Open Access | Times Cited: 7
Machine learning-guided engineering of genetically encoded fluorescent calcium indicators
Sarah J. Wait, Marc Expòsit, Sophia Lin, et al.
Nature Computational Science (2024) Vol. 4, Iss. 3, pp. 224-236
Open Access | Times Cited: 6
When nanozymes meet enzyme: Unlocking the dual-activity potential of integrated biocomposites
Pravin D. Patil, Aparna Karvekar, Sakshi Salokhe, et al.
International Journal of Biological Macromolecules (2024) Vol. 271, pp. 132357-132357
Closed Access | Times Cited: 6
Protein Engineering of Substrate Specificity toward Nitrilases: Strategies and Challenges
Shi-Qian Bian, Zi-Kai Wang, Jin‐Song Gong, et al.
Journal of Agricultural and Food Chemistry (2025)
Closed Access
Learning Epistasis and Residue Coevolution Patterns: Current Trends and Future Perspectives for Advancing Enzyme Engineering
Marcel Wittmund, Frédéric Cadet, Mehdi D. Davari
ACS Catalysis (2022) Vol. 12, Iss. 22, pp. 14243-14263
Closed Access | Times Cited: 33
Engineering ACE2 decoy receptors to combat viral escapability
Takao Arimori, Nariko Ikemura, Toru Okamoto, et al.
Trends in Pharmacological Sciences (2022) Vol. 43, Iss. 10, pp. 838-851
Open Access | Times Cited: 29
Structure‐ and Data‐Driven Protein Engineering of Transaminases for Improving Activity and Stereoselectivity
Yu‐Fei Ao, Shuxin Pei, Chao Xiang, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 23
Open Access | Times Cited: 17
Machine Learning: A Suitable Method for Biocatalysis
Pedro Sampaio, Pedro Fernandes
Catalysts (2023) Vol. 13, Iss. 6, pp. 961-961
Open Access | Times Cited: 15
Effective engineering of a ketoreductase for the biocatalytic synthesis of an ipatasertib precursor
Sumire Honda Malca, Nadine Duss, Jasmin Meierhofer, et al.
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
The Impact of Metagenomics on Biocatalysis
Bethany N. Hogg, Christian Schnepel, James Finnigan, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 21
Open Access | Times Cited: 4
Transforming drug development with synthetic biology and AI
Andrew Hill, Jane M. True, Charles H. Jones
Trends in biotechnology (2024) Vol. 42, Iss. 9, pp. 1072-1075
Open Access | Times Cited: 3
Functional Enhancement of Flavin-Containing Monooxygenase through Machine Learning Methodology
Takuma Matsushita, Shinji Kishimoto, Kodai Hara, et al.
ACS Catalysis (2024) Vol. 14, Iss. 9, pp. 6945-6951
Closed Access | Times Cited: 3
Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning
Tomoyuki Ito, Thuy Duong Nguyen, Yutaka Saitô, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Engineering the Substrate Specificity of Toluene Degrading Enzyme XylM Using Biosensor XylS and Machine Learning
Yuki Ogawa, Yutaka Saitô, Hideki Yamaguchi, et al.
ACS Synthetic Biology (2023) Vol. 12, Iss. 2, pp. 572-582
Open Access | Times Cited: 8
Empowering Protein Engineering through Recombination of Beneficial Substitutions
Xinyue Wang, Anni Li, Xiujuan Li, et al.
Chemistry - A European Journal (2024) Vol. 30, Iss. 16
Closed Access | Times Cited: 2
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning
Tobias Vornholt, Mojmír Mutný, Gregor W. Schmidt, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Artificial intelligence and machine learning applications for cultured meat
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
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