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:

Predicting Highly Enantioselective Catalysts Using Tunable Fragment Descriptors**
Nobuya Tsuji, Pavel Sidorov, Chendan Zhu, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 11
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Pd-Catalysed asymmetric allylic alkylation of heterocycles: a user's guide
F. Richard, Paul G. Clark, Al Hannam, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 4, pp. 1936-1983
Closed Access | Times Cited: 11

AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed Access | Times Cited: 11

Peroxycarbenium-Mediated Asymmetric Synthesis of 1,2-Dioxanes and 1,2-Dioxolanes
Bastien Champciaux, Nicolas Jamey, Bruno Figadère, et al.
Journal of the American Chemical Society (2025) Vol. 147, Iss. 4, pp. 3353-3359
Open Access | Times Cited: 1

HCat-GNet: a Human-Interpretable GNN Tool for Ligand Optimization in Asymmetric Catalysis
Eduardo Alberto Aguilar Bejarano, Ender Özcan, Raja K. Rit, et al.
iScience (2025) Vol. 28, Iss. 3, pp. 111881-111881
Open Access | Times Cited: 1

A genetic optimization strategy with generality in asymmetric organocatalysis as a primary target
Simone Gallarati, Puck van Gerwen, Rubén Laplaza, et al.
Chemical Science (2024) Vol. 15, Iss. 10, pp. 3640-3660
Open Access | Times Cited: 7

High-throughput screening of CO2 cycloaddition MOF catalyst with an explainable machine learning model
Xuefeng Bai, Yi Li, Ya-Bo Xie, et al.
Green Energy & Environment (2024)
Open Access | Times Cited: 7

Valence-isomer selective cycloaddition reaction of cycloheptatrienes-norcaradienes
Shingo Harada, Hiroki Takenaka, Tsubasa Ito, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7

Ligand-Based Principal Component Analysis Followed by Ridge Regression: Application to an Asymmetric Negishi Reaction
H. Ray Kelly, Sanil Sreekumar, Vidhyadhar Manee, et al.
ACS Catalysis (2024) Vol. 14, Iss. 7, pp. 5027-5038
Closed Access | Times Cited: 6

Recent advances in the chemistry and the application of SF5-compounds
Mariam Abd El Sater, Lucas Popek, Nicolas Blanchard, et al.
Synthesis (2024)
Closed Access | Times Cited: 6

OSCAR: an extensive repository of chemically and functionally diverse organocatalysts
Simone Gallarati, Puck van Gerwen, Rubén Laplaza, et al.
Chemical Science (2022) Vol. 13, Iss. 46, pp. 13782-13794
Open Access | Times Cited: 25

POxload: Machine Learning Estimates Drug Loadings of Polymeric Micelles
Josef Kehrein, Alex Bunker, Robert Luxenhofer
Molecular Pharmaceutics (2024) Vol. 21, Iss. 7, pp. 3356-3374
Closed Access | Times Cited: 4

Machine Learning for Reaction Performance Prediction in Allylic Substitution Enhanced by Automatic Extraction of a Substrate-Aware Descriptor
Gufeng Yu, Xi Wang, Yugong Luo, et al.
Journal of Chemical Information and Modeling (2025) Vol. 65, Iss. 1, pp. 312-325
Closed Access

Understanding Conformation Importance in Data-Driven Property Prediction Models
Y. Hamakawa, Tomoyuki Miyao
Journal of Chemical Information and Modeling (2025)
Open Access

Predictive modeling of visible-light azo-photoswitches’ properties using structural features
Said Byadi, P. K. Hashim, Pavel Sidorov
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access

Finding optimal pathways in chemical reaction networks using Ising machines
Yuta Mizuno, Tamiki Komatsuzaki
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 3

Leveraging Limited Experimental Data with Machine Learning: Differentiating a Methyl from an Ethyl Group in the Corey–Bakshi–Shibata Reduction
Oliver Pereira, Marcel Ruth, Dennis Gerbig, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 21, pp. 14576-14586
Closed Access | Times Cited: 3

Relative Generality and Risk: Quantitative Measures for Broad Catalyst Success
Michal Sanocki, H Russell, Jasemine Handjaya, et al.
ACS Catalysis (2024) Vol. 14, Iss. 22, pp. 16849-16860
Closed Access | Times Cited: 3

Machine Learning Algorithm Guides Catalyst Choices for Magnesium‐Catalyzed Asymmetric Reactions
Paulina Baczewska, Michał Kulczykowski, Bartosz K. Zambroń, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 37
Open Access | Times Cited: 2

Catalysing (organo-)catalysis: Trends in the application of machine learning to enantioselective organocatalysis
Stefan P. Schmid, Leon Schlosser, Frank Glorius, et al.
Beilstein Journal of Organic Chemistry (2024) Vol. 20, pp. 2280-2304
Open Access | Times Cited: 2

Contrasting Historical and Physical Perspectives in Asymmetric Catalysis: ▵▵G versus Enantiomeric Excess
Marcel Ruth, Tobias Gensch, Peter R. Schreiner
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 48
Open Access | Times Cited: 2

Multi-Instance Learning Approach to the Modeling of Enantioselectivity of Conformationally Flexible Organic Catalysts
Dmitry Zankov, Timur Madzhidov, Pavel Polishchuk, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6629-6641
Closed Access | Times Cited: 4

The Diversity and Evolution of Chiral Brønsted Acid Structures
Jasemine Handjaya, Niraja Patankar, Jolene P. Reid
Chemistry - A European Journal (2024) Vol. 30, Iss. 46
Open Access | Times Cited: 1

Relative Generality and Risk: Quantitative Measures For Broad Catalyst Success
Michal Sanocki, H Russell, Jasemine Handjaya, et al.
(2024)
Open Access | Times Cited: 1

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