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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:

Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis
Thomas J. Struble, Juan C. Alvarez, Scott P. Brown, et al.
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 16, pp. 8667-8682
Open Access | Times Cited: 196

Showing 1-25 of 196 citing articles:

Technological Innovations in Photochemistry for Organic Synthesis: Flow Chemistry, High-Throughput Experimentation, Scale-up, and Photoelectrochemistry
Laura Buglioni, Fabian Raymenants, Aidan Slattery, et al.
Chemical Reviews (2021) Vol. 122, Iss. 2, pp. 2752-2906
Open Access | Times Cited: 536
State-of-the-art augmented NLP transformer models for direct and single-step retrosynthesis
Igor V. Tetko, Pavel Karpov, Ruud van Deursen, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 308
Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Sezen Vatansever, Avner Schlessinger, Daniel Wacker, et al.
Medicinal Research Reviews (2020) Vol. 41, Iss. 3, pp. 1427-1473
Open Access | Times Cited: 260
Artificial Intelligence in Chemistry: Current Trends and Future Directions
Zachary J. Baum, Xiang Yu, Philippe Y. Ayala, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 7, pp. 3197-3212
Closed Access | Times Cited: 171
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: 142
Exploration of Ultralarge Compound Collections for Drug Discovery
Wendy A. Warr, Marc C. Nicklaus, Christos A. Nicolaou, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 9, pp. 2021-2034
Closed Access | Times Cited: 118
Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform
Anirudh M. K. Nambiar, C. Breen, Travis Hart, et al.
ACS Central Science (2022) Vol. 8, Iss. 6, pp. 825-836
Open Access | Times Cited: 117
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikołaj Sacha, Mikołaj Błaż, Piotr Byrski, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 7, pp. 3273-3284
Open Access | Times Cited: 116
Retrosynthetic accessibility score (RAscore) – rapid machine learned synthesizability classification from AI driven retrosynthetic planning
Amol Thakkar, Veronika Chadimová, Esben Jannik Bjerrum, et al.
Chemical Science (2021) Vol. 12, Iss. 9, pp. 3339-3349
Open Access | Times Cited: 108
Small molecules and their impact in drug discovery: A perspective on the occasion of the 125th anniversary of the Bayer Chemical Research Laboratory
Hartmut Beck, Michael Härter, B. Hass, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 6, pp. 1560-1574
Open Access | Times Cited: 107
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 64
Computational drug development for membrane protein targets
Haijian Li, Xiaolin Sun, Wenqiang Cui, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 229-242
Closed Access | Times Cited: 16
Continuous flow synthesis enabling reaction discovery
Antonella Ilenia Alfano, Jorge García‐Lacuna, Oliver Griffiths, et al.
Chemical Science (2024) Vol. 15, Iss. 13, pp. 4618-4630
Open Access | Times Cited: 15
Enhancing preclinical drug discovery with artificial intelligence
Ramachandran Vijayan, Jan Kihlberg, Jason B. Cross, et al.
Drug Discovery Today (2021) Vol. 27, Iss. 4, pp. 967-984
Open Access | Times Cited: 101
RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictions
Xiaorui Wang, Yuquan Li, Jiezhong Qiu, et al.
Chemical Engineering Journal (2021) Vol. 420, pp. 129845-129845
Closed Access | Times Cited: 90
Pharmacological Targeting of IRE1 in Cancer
Diana Pelizzari Raymundo, Dimitrios Doultsinos, X. Guillory, et al.
Trends in cancer (2020) Vol. 6, Iss. 12, pp. 1018-1030
Open Access | Times Cited: 89
Machine learning in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship
Maciej Staszak, Katarzyna Staszak, Karolina Wieszczycka, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 12, Iss. 2
Open Access | Times Cited: 89
Automation and data-driven design of polymer therapeutics
Rahul Upadhya, Shashank Kosuri, Matthew Tamasi, et al.
Advanced Drug Delivery Reviews (2020) Vol. 171, pp. 1-28
Open Access | Times Cited: 82
Evaluating and clustering retrosynthesis pathways with learned strategy
Yiming Mo, Yanfei Guan, Pritha Verma, et al.
Chemical Science (2020) Vol. 12, Iss. 4, pp. 1469-1478
Open Access | Times Cited: 80
De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization
Domenico Alberga, Nicola Gambacorta, Daniela Trisciuzzi, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 10, pp. 4582-4593
Closed Access | Times Cited: 78
Quantitative interpretation explains machine learning models for chemical reaction prediction and uncovers bias
Dávid Péter Kovács, William McCorkindale, Alpha A. Lee
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 78
Deep learning in retrosynthesis planning: datasets, models and tools
Jingxin Dong, Mingyi Zhao, Yuansheng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 78
Artificial intelligence and automation in computer aided synthesis planning
Amol Thakkar, Simon Johansson, Kjell Jorner, et al.
Reaction Chemistry & Engineering (2020) Vol. 6, Iss. 1, pp. 27-51
Closed Access | Times Cited: 73
Chemistry Informer Libraries: Conception, Early Experience, and Role in the Future of Cheminformatics
Spencer D. Dreher, Shane W. Krska
Accounts of Chemical Research (2021) Vol. 54, Iss. 7, pp. 1586-1596
Closed Access | Times Cited: 63
Unified Deep Learning Model for Multitask Reaction Predictions with Explanation
Jieyu Lü, Yingkai Zhang
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 6, pp. 1376-1387
Open Access | Times Cited: 62
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