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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 Identifies Chemical Characteristics That Promote Enzyme Catalysis
Brian M. Bonk, James W. Weis, Bruce Tidor
Journal of the American Chemical Society (2019) Vol. 141, Iss. 9, pp. 4108-4118
Open Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

Molecular Dynamics and Machine Learning in Catalysts
Wenxiang Liu, Yang Zhu, Yongqiang Wu, et al.
Catalysts (2021) Vol. 11, Iss. 9, pp. 1129-1129
Open Access | Times Cited: 25
New Insights into the Cooperativity and Dynamics of Dimeric Enzymes
Ke-Wei Chen, Tian‐Yu Sun, Yun‐Dong Wu
Chemical Reviews (2023) Vol. 123, Iss. 16, pp. 9940-9981
Closed Access | Times Cited: 9
LPATH: A Semiautomated Python Tool for Clustering Molecular Pathways
Anthony T. Bogetti, Jeremy M. G. Leung, Lillian T. Chong
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 24, pp. 7610-7616
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
Finding Reactive Configurations: A Machine Learning Approach for Estimating Energy Barriers Applied to Sirtuin 5
Beatriz von der Esch, Johannes C. B. Dietschreit, Laurens D. M. Peters, et al.
Journal of Chemical Theory and Computation (2019) Vol. 15, Iss. 12, pp. 6660-6667
Closed Access | Times Cited: 25
Hybrid Thermophilic/Mesophilic Enzymes Reveal a Role for Conformational Disorder in Regulation of Bacterial Enzyme I
Rochelle R. Dotas, Trang Nguyen, Charles Stewart, et al.
Journal of Molecular Biology (2020) Vol. 432, Iss. 16, pp. 4481-4498
Open Access | Times Cited: 25
OUP accepted manuscript
Ryan Feehan, Daniel Montezano, Joanna S.G. Slusky
Protein Engineering Design and Selection (2021)
Open Access | Times Cited: 21
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
Rational and mechanistic approaches for improving biocatalyst performance
Aisaraphon Phintha, Pimchai Chaiyen
Chem Catalysis (2022) Vol. 2, Iss. 10, pp. 2614-2643
Open Access | Times Cited: 13
Structure-driven protein engineering for production of valuable natural products
Yun Wang, Luyao Yu, Jie Shao, et al.
Trends in Plant Science (2022) Vol. 28, Iss. 4, pp. 460-470
Closed Access | Times Cited: 13
Co-evolution of activity and thermostability of an aldo-keto reductase KmAKR for asymmetric synthesis of statin precursor dichiral diols
Shuai Qiu, Feng Cheng, Ling-Jun Jin, et al.
Bioorganic Chemistry (2020) Vol. 103, pp. 104228-104228
Closed Access | Times Cited: 21
New Trends in Bioremediation Technologies Toward Environment-Friendly Society: A Mini-Review
Kunal Dutta, Sergey Shityakov, Ibrahim Khalifa
Frontiers in Bioengineering and Biotechnology (2021) Vol. 9
Open Access | Times Cited: 19
N 6 -methyladenosine binding induces a metal-centered rearrangement that activates the human RNA demethylase Alkbh5
Jeffrey A. Purslow, Trang Nguyen, Balabhadra Khatiwada, et al.
Science Advances (2021) Vol. 7, Iss. 34
Open Access | Times Cited: 18
IntEnzyDB: an Integrated Structure–Kinetics Enzymology Database
Bailu Yan, Xinchun Ran, Anvita Gollu, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 22, pp. 5841-5848
Open Access | Times Cited: 12
Curse and Blessing of Non‐Proteinogenic Parts in Computational Enzyme Engineering
Kerlen T. Korbeld, Maximilian J. L. J. Fürst
ChemBioChem (2023) Vol. 24, Iss. 12
Open Access | Times Cited: 6
Prediction of Enzyme Catalysis by Computing Reaction Energy Barriers via Steered QM/MM Molecular Dynamics Simulations and Machine Learning
Daniel Platero-Rochart, Tatyana Krivobokova, Michael Gastegger, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4623-4632
Closed Access | Times Cited: 6
Enzyme redesign and genetic code expansion
Vaitea Opuu, Thomas Simonson
Protein Engineering Design and Selection (2023) Vol. 36
Closed Access | Times Cited: 6
Atomistic Simulations for Reactions and Vibrational Spectroscopy in the Era of Machine Learning─Quo Vadis?
Markus Meuwly
The Journal of Physical Chemistry B (2022) Vol. 126, Iss. 11, pp. 2155-2167
Closed Access | Times Cited: 11
Learning to Identify Physiological and Adventitious Metal-Binding Sites in the Three-Dimensional Structures of Proteins by Following the Hints of a Deep Neural Network
Vincenzo Laveglia, Andrea Giachetti, Davide Sala, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 12, pp. 2951-2960
Open Access | Times Cited: 11
Efficient hydrogenation catalyst designing via preferential adsorption sites construction towards active copper
Dongcheng He, Tao Wang, Teng Li, et al.
Journal of Catalysis (2021) Vol. 400, pp. 397-406
Open Access | Times Cited: 15
Mechanistic Insights into Enzyme Catalysis from Explaining Machine-Learned Quantum Mechanical and Molecular Mechanical Minimum Energy Pathways
Zilin Song, Francesco Trozzi, Hao Tian, et al.
ACS Physical Chemistry Au (2022) Vol. 2, Iss. 4, pp. 316-330
Open Access | Times Cited: 10
Revisiting textbook azide-clock reactions: A “propeller-crawling” mechanism explains differences in rates
Anthony T. Bogetti, Matthew C. Zwier, Lillian T. Chong
(2024)
Open Access | Times Cited: 1
Revisiting Textbook Azide-Clock Reactions: A “Propeller-Crawling” Mechanism Explains Differences in Rates
Anthony T. Bogetti, Matthew C. Zwier, Lillian T. Chong
Journal of the American Chemical Society (2024) Vol. 146, Iss. 18, pp. 12828-12835
Open 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
How much can physics do for protein design?
Eleni Michael, Thomas Simonson
Current Opinion in Structural Biology (2021) Vol. 72, pp. 46-54
Open Access | Times Cited: 12

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