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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:

Comparing quantitative prediction methods for the discovery of small-molecule chiral catalysts
Jolene P. Reid, Matthew S. Sigman
Nature Reviews Chemistry (2018) Vol. 2, Iss. 10, pp. 290-305
Closed Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

Machine Learning for Catalysis Informatics: Recent Applications and Prospects
Takashi Toyao, Zen Maeno, Satoru Takakusagi, et al.
ACS Catalysis (2019) Vol. 10, Iss. 3, pp. 2260-2297
Closed Access | Times Cited: 454
Holistic prediction of enantioselectivity in asymmetric catalysis
Jolene P. Reid, Matthew S. Sigman
Nature (2019) Vol. 571, Iss. 7765, pp. 343-348
Open Access | Times Cited: 301
Quantitative Structure–Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future
Andrew F. Zahrt, Soumitra V. Athavale, Scott E. Denmark
Chemical Reviews (2019) Vol. 120, Iss. 3, pp. 1620-1689
Open Access | Times Cited: 177
Automated in Silico Design of Homogeneous Catalysts
Marco Foscato, Vidar R. Jensen
ACS Catalysis (2020) Vol. 10, Iss. 3, pp. 2354-2377
Open Access | Times Cited: 176
Nickel-catalyzed formation of quaternary carbon centers using tertiary alkyl electrophiles
Weichao Xue, Xiao Jia, Xuan Wang, et al.
Chemical Society Reviews (2021) Vol. 50, Iss. 6, pp. 4162-4184
Closed Access | Times Cited: 172
Asymmetric Catalysis Mediated by Synthetic Peptides, Version 2.0: Expansion of Scope and Mechanisms
Anthony J. Metrano, Alex J. Chinn, Christopher R. Shugrue, et al.
Chemical Reviews (2020) Vol. 120, Iss. 20, pp. 11479-11615
Open Access | Times Cited: 165
Organic reactivity from mechanism to machine learning
Kjell Jorner, Anna Tomberg, Christoph Bauer, et al.
Nature Reviews Chemistry (2021) Vol. 5, Iss. 4, pp. 240-255
Closed Access | Times Cited: 145
Automation and computer-assisted planning for chemical synthesis
Yuning Shen, Julia E. Borowski, Melissa A. Hardy, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Closed Access | Times Cited: 132
Importance of Engineered and Learned Molecular Representations in Predicting Organic Reactivity, Selectivity, and Chemical Properties
Liliana C. Gallegos, Guilian Luchini, Peter C. St. John, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 4, pp. 827-836
Closed Access | Times Cited: 104
High Throughput Strategies for the Discovery and Optimization of Catalytic Reactions
Eric S. Isbrandt, Ryan J. Sullivan, Stephen G. Newman
Angewandte Chemie International Edition (2018) Vol. 58, Iss. 22, pp. 7180-7191
Closed Access | Times Cited: 140
Disparate Catalytic Scaffolds for Atroposelective Cyclodehydration
Yongseok Kwon, Junqi Li, Jolene P. Reid, et al.
Journal of the American Chemical Society (2019) Vol. 141, Iss. 16, pp. 6698-6705
Open Access | Times Cited: 139
A unified machine-learning protocol for asymmetric catalysis as a proof of concept demonstration using asymmetric hydrogenation
Sukriti Singh, Monika Pareek, Avtar Changotra, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 3, pp. 1339-1345
Open Access | Times Cited: 108
Predictive Multivariate Linear Regression Analysis Guides Successful Catalytic Enantioselective Minisci Reactions of Diazines
Jolene P. Reid, Rupert S. J. Proctor, Matthew S. Sigman, et al.
Journal of the American Chemical Society (2019) Vol. 141, Iss. 48, pp. 19178-19185
Open Access | Times Cited: 95
Reaction-based machine learning representations for predicting the enantioselectivity of organocatalysts
Simone Gallarati, Raimón Fabregat, Rubén Laplaza, et al.
Chemical Science (2021) Vol. 12, Iss. 20, pp. 6879-6889
Open Access | Times Cited: 89
Data Science Meets Physical Organic Chemistry
Jennifer M. Crawford, Cian Kingston, F. Dean Toste, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 16, pp. 3136-3148
Open Access | Times Cited: 83
Development of a Computer-Guided Workflow for Catalyst Optimization. Descriptor Validation, Subset Selection, and Training Set Analysis
Jeremy Henle, Andrew F. Zahrt, Brennan T. Rose, et al.
Journal of the American Chemical Society (2020) Vol. 142, Iss. 26, pp. 11578-11592
Closed Access | Times Cited: 82
Unveiling the Delicate Balance of Steric and Dispersion Interactions in Organocatalysis Using High-Level Computational Methods
Diana Yepes, Frank Neese, Benjamin List, et al.
Journal of the American Chemical Society (2020) Vol. 142, Iss. 7, pp. 3613-3625
Open Access | Times Cited: 78
Applications of reticular diversity in metal–organic frameworks: An ever-evolving state of the art
Aleksander Ejsmont, Jacopo Andreo, Arianna Lanza, et al.
Coordination Chemistry Reviews (2020) Vol. 430, pp. 213655-213655
Open Access | Times Cited: 78
Navigating through the Maze of Homogeneous Catalyst Design with Machine Learning
Gabriel dos Passos Gomes, Robert Pollice, Alán Aspuru‐Guzik
Trends in Chemistry (2021) Vol. 3, Iss. 2, pp. 96-110
Open Access | Times Cited: 78
Multilabel Classification Models for the Prediction of Cross-Coupling Reaction Conditions
Michael Maser, Alexander Cui, Serim Ryou, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 1, pp. 156-166
Open Access | Times Cited: 62
Stereoconvergent and -divergent Synthesis of Tetrasubstituted Alkenes by Nickel-Catalyzed Cross-Couplings
Daniel Zell, Cian Kingston, Janis Jermaks, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 45, pp. 19078-19090
Open Access | Times Cited: 59
When machine learning meets molecular synthesis
João C. A. Oliveira, Johanna Frey, Shuo‐Qing Zhang, et al.
Trends in Chemistry (2022) Vol. 4, Iss. 10, pp. 863-885
Closed Access | Times Cited: 42
Ni-Catalyzed Enantioselective Hydrofunctionalizations of 1,3-Dienes
Arthur Flaget, Cheng Zhang, Clément Mazet
ACS Catalysis (2022) Vol. 12, Iss. 24, pp. 15638-15647
Open Access | Times Cited: 41
Discovery and Development of the Enantioselective Minisci Reaction
P. David Bacoş, Antti S. K. Lahdenperä, Robert J. Phipps
Accounts of Chemical Research (2023) Vol. 56, Iss. 14, pp. 2037-2049
Open Access | Times Cited: 24
Automation and machine learning augmented by large language models in a catalysis study
Yuming Su, Xue Wang, Yuanxiang Ye, et al.
Chemical Science (2024) Vol. 15, Iss. 31, pp. 12200-12233
Open Access | Times Cited: 13
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