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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:

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

Showing 1-25 of 29 citing articles:

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
Data‐Driven Protein Engineering for Improving Catalytic Activity and Selectivity
Yu‐Fei Ao, Mark Dörr, Marian J. Menke, et al.
ChemBioChem (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 19
Engineering of highly active and diverse nuclease enzymes by combining machine learning and ultra-high-throughput screening
Neil Thomas, David Belanger, Chenling Xu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
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
FAIR Data and Software: Improving Efficiency and Quality of Biocatalytic Science
Jürgen Pleiss
ACS Catalysis (2024) Vol. 14, Iss. 4, pp. 2709-2718
Closed Access | Times Cited: 6
Simultaneous Engineering of the Thermostability and Activity of a Novel Aldehyde Dehydrogenase
Kangjie Xu, Qiming Chen, Haiyan Fu, et al.
ACS Catalysis (2025), pp. 1841-1853
Closed Access
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
Enzymatic micro/nanomotors in biomedicine: from single motors to swarms
Shuqin Chen, Carles Prado-Morales, Daniel Sánchez‐deAlcázar, et al.
Journal of Materials Chemistry B (2024) Vol. 12, Iss. 11, pp. 2711-2719
Open Access | Times Cited: 4
Biocatalysis of CO2 and CH4: Key enzymes and challenges
Aipeng Li, Xupeng Cao, Rongzhan Fu, et al.
Biotechnology Advances (2024) Vol. 72, pp. 108347-108347
Closed Access | Times Cited: 4
Protein Representations: Encoding Biological Information for Machine Learning in Biocatalysis
David Harding-Larsen, Jonathan Funk, Niklas Gesmar Madsen, et al.
(2024)
Open Access | Times Cited: 3
The Development and Opportunities of Predictive Biotechnology
Bettina M. Nestl, Bernd A. Nebel, Verena Resch, et al.
ChemBioChem (2024) Vol. 25, Iss. 13
Open Access | Times Cited: 3
Biohydrogen production for sustainable energy transition: A bibliometric and systematic review of the reaction mechanisms, challenges, knowledge gaps and emerging trends
C. Umunnawuike, S. Q. A. Mahat, Peter Ikechukwu Nwaichi, et al.
Biomass and Bioenergy (2024) Vol. 188, pp. 107345-107345
Closed Access | Times Cited: 3
Enhancing Lipase Immobilization via Physical Adsorption: Advancements in Stability, Reusability, and Industrial Applications for Sustainable Biotechnological Processes
Cinthia Silva Almeida, Francisco Simão Neto, Patrick da Silva Sousa, et al.
ACS Omega (2024) Vol. 9, Iss. 47, pp. 46698-46732
Open Access | Times Cited: 3
Enzymatic synthesis of chiral alcohols using ketoreductases
Quan Yuan, Li Ma, Weixi Kong, et al.
Catalysis Reviews (2024), pp. 1-40
Closed Access | Times Cited: 2
Machine learning meets enzyme engineering: examples in the design of polyethylene terephthalate hydrolases
Rohan Ali, Yifei Zhang
Frontiers of Chemical Science and Engineering (2024) Vol. 18, Iss. 12
Closed Access | Times Cited: 1
Protein representations: Encoding biological information for machine learning in biocatalysis
David Harding-Larsen, Jonathan Funk, Niklas Gesmar Madsen, et al.
Biotechnology Advances (2024) Vol. 77, pp. 108459-108459
Closed Access | Times Cited: 1
Machine learning-assisted amidase-catalytic enantioselectivity prediction and rational design of variants for improving enantioselectivity
Zi-Lin Li, Shuxin Pei, Ziying Chen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Unraveling the Molecular Basis of Substrate Specificity and Halogen Activation in Vanadium-Dependent Haloperoxidases
Tanja Gulder, Pierre Zeides, Kathrin Bellmann‐Sickert, et al.
(2023)
Open Access | Times Cited: 2
Advanced Learning and Bioinformatics in Innovative Drug Discovery Towards Bridging Biology
Yogesh Kumar Sharma, Sunayana Kundan Shivthare, Avinash Godharam Chaure, et al.
Advances in healthcare information systems and administration book series (2024), pp. 15-30
Closed Access
Biocatalysis in microfluidic systems: an experimental basis for data science
John M. Woodley
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 8, pp. 2028-2033
Closed Access
Annotation Vocabulary (Might Be) All You Need
Logan Hallee, Niko Rafailidis, Colin Horger, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sustainable (–)-Ambrox Production: Chemistry Meets Biocatalysis
Eric Eichhorn, Boris Schilling, Agnès Bombrun, et al.
CHIMIA International Journal for Chemistry (2024) Vol. 78, Iss. 7-8, pp. 468-475
Open Access
Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach
Xing Wan, Sazzad Shahrear, Shea Wen Chew, et al.
Biotechnology for Biofuels and Bioproducts (2024) Vol. 17, Iss. 1
Open Access
An overview on glycoside hydrolases and glycosyltransferases
María Elena Ortiz-Soto, Jürgen Seibel
Zeitschrift für Naturforschung C (2024)
Closed Access
Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence
Ahrum Son, Jongham Park, Woojin Kim, et al.
Molecules (2024) Vol. 29, Iss. 19, pp. 4626-4626
Open Access
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