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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:

OUP accepted manuscript
Ryan Feehan, Daniel Montezano, Joanna S.G. Slusky
Protein Engineering Design and Selection (2021)
Open Access | Times Cited: 21

Showing 21 citing articles:

Engineering Enzyme Properties for Improved Biocatalytic Processes in Batch and Continuous Flow
Raquel Abdallah da Rocha, Robert Speight, Colin Scott
Organic Process Research & Development (2022) Vol. 26, Iss. 7, pp. 1914-1924
Open Access | Times Cited: 44
Strategies for designing biocatalysts with new functions
Elizabeth L. Bell, Amy E. Hutton, Ashleigh J. Burke, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 6, pp. 2851-2862
Open Access | Times Cited: 7
Machine Learning to Predict Enzyme–Substrate Interactions in Elucidation of Synthesis Pathways: A Review
Luis Fernando Salas Nuñez, Álvaro Barrera-Ocampo, Paola A. Caicedo, et al.
Metabolites (2024) Vol. 14, Iss. 3, pp. 154-154
Open 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
Enhancing luciferase activity and stability through generative modeling of natural enzyme sequences
Wen Jun Xie, Dangliang Liu, Xiaoya Wang, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 48
Open Access | Times Cited: 16
Structure-aware machine learning strategies for antimicrobial peptide discovery
Mariana del Carmen Aguilera‐Puga, Fabien Plisson
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering
Wen Jun Xie, Arieh Warshel
National Science Review (2023) Vol. 10, Iss. 12
Open Access | Times Cited: 11
Data-driven enzyme engineering to identify function-enhancing enzymes
Yaoyukun Jiang, Xinchun Ran, Zhongyue Yang
Protein Engineering Design and Selection (2022) Vol. 36
Open Access | Times Cited: 14
Machine-Learning-Guided Engineering of an NADH-Dependent 7β-Hydroxysteroid Dehydrogenase for Economic Synthesis of Ursodeoxycholic Acid
Mu-Qiang Wang, Zhi‐Neng You, Bing-Yi Yang, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 49, pp. 19672-19681
Closed Access | Times Cited: 5
Descriptor-augmented machine learning for enzyme-chemical interaction predictions
Yilei Han, Haoye Zhang, Zheni Zeng, et al.
Synthetic and Systems Biotechnology (2024) Vol. 9, Iss. 2, pp. 259-268
Open Access | Times Cited: 1
GASP: A Pan-Specific Predictor of Family 1 Glycosyltransferase Acceptor Specificity Enabled by a Pipeline for Substrate Feature Generation and Large-Scale Experimental Screening
David Harding-Larsen, Christian Degnbol Madsen, David Tezé, et al.
ACS Omega (2024) Vol. 9, Iss. 25, pp. 27278-27288
Open Access | Times Cited: 1
New advances in protein engineering for industrial applications: Key takeaways
Giles Obinna Ndochinwa, Qingyan Wang, Nkwachukwu Oziamara Okoro, et al.
Open Life Sciences (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Artificial Intelligence Methods and Models for Retro-Biosynthesis: A Scoping Review
Guillaume Gricourt, Philippe Meyer, Thomas Duigou, et al.
ACS Synthetic Biology (2024) Vol. 13, Iss. 8, pp. 2276-2294
Open Access | Times Cited: 1
Harnessing Generative AI to Decode Enzyme Catalysis and Evolution for Enhanced Engineering
Wen Jun Xie, Arieh Warshel
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Advances in ligand-specific biosensing for structurally similar molecules
Chenggang Xi, Jinjin Diao, Tae Seok Moon
Cell Systems (2023) Vol. 14, Iss. 12, pp. 1024-1043
Open Access | Times Cited: 3
GASP: A pan-specific predictor of family 1 glycosyltransferase specificity enabled by a pipeline for substrate feature generation and large-scale experimental screening
David Harding-Larsen, Christian Degnbol Madsen, David Tezé, et al.
(2023)
Open Access | Times Cited: 2
Protein engineering of amine transaminases
Qinglong Meng, Carlos Ramírez-Palacios, Hein J. Wijma, et al.
Frontiers in Catalysis (2022) Vol. 2
Open Access | Times Cited: 4
TopEC: Improved classification of enzyme function by a localized 3D protein descriptor and 3D Graph Neural Networks
Karel J van der Weg, Erinç Merdivan, Marie Piraud, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Spiers Memorial Lecture: Engineering biocatalysts
Donald Hilvert
Faraday Discussions (2024) Vol. 252, pp. 9-28
Open Access
Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost
Meshari Alazmi
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
Computational Protein Engineering
Tuba Okur, Onur Serçinoğlu
Elsevier eBooks (2024)
Closed Access
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