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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:

Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor
Yueshan Li, Liting Zhang, Yifei Wang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

MolEM: a unified generative framework for molecular graphs and sequential orders
Hanwen Zhang, Xiong Deng, Xianggen Liu, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Discovery and Characterization of Novel Receptor-Interacting Protein Kinase 1 Inhibitors Using Deep Learning and Virtual Screening
Bo Liu, Likun Zhao, Ying Tan, et al.
ACS Chemical Neuroscience (2025)
Closed Access
Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning
Jeff Guo, Philippe Schwaller
JACS Au (2024) Vol. 4, Iss. 6, pp. 2160-2172
Open Access | Times Cited: 3
Application progress of deep generative models in de novo drug design
Yingxu Liu, Chengcheng Xu, Xinyi Yang, et al.
Molecular Diversity (2024) Vol. 28, Iss. 4, pp. 2411-2427
Closed Access | Times Cited: 3
Recent advances from computer-aided drug design to artificial intelligence drug design
Keran Wang, Yanwen Huang, Yongxian Wang, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 12, pp. 3978-4000
Closed Access | Times Cited: 3
Local Scaffold Diversity-Contributed Generator for Discovering Potential NLRP3 Inhibitors
Weichen Bo, Yangqin Duan, Yurong Zou, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 737-748
Closed Access | Times Cited: 2
Kinase Drug Discovery: Impact of Open Science and Artificial Intelligence
Filip Miljković, Jürgen Bajorath
Molecular Pharmaceutics (2024) Vol. 21, Iss. 10, pp. 4849-4859
Closed Access | Times Cited: 2
Deep-Learning-Driven Discovery of SN3–1, a Potent NLRP3 Inhibitor with Therapeutic Potential for Inflammatory Diseases
Cheng Shi, Tongfei Gao, Weiping Lyu, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 19, pp. 17833-17854
Closed Access | Times Cited: 2
Sample Efficient Reinforcement Learning with Active Learning for Molecular Design
Michael Dodds, Jeff Guo, Thomas Löhr, et al.
(2023)
Open Access | Times Cited: 4
Structure-based development of potent and selective type-II kinase inhibitors of RIPK1
Ying Qin, Dekang Li, Chunting Qi, et al.
Acta Pharmaceutica Sinica B (2023) Vol. 14, Iss. 1, pp. 319-334
Open Access | Times Cited: 4
The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?
Aurore Crouzet, Nicolás López, Benjamin Riss Yaw, et al.
Molecules (2024) Vol. 29, Iss. 12, pp. 2716-2716
Open Access | Times Cited: 1
Design, Synthesis, and Preclinical Evaluation of 11C/18F-Labeled Inhibitors for RIPK1 PET Imaging
Tian-Wen Luo, Yanting Zhou, Rui Wu, et al.
European Journal of Medicinal Chemistry (2024) Vol. 279, pp. 116851-116851
Closed Access | Times Cited: 1
ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning
Mingyang Wang, Shuai Li, Jike Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Identification of STAT3 phosphorylation inhibitors using generative deep learning, virtual screening, molecular dynamics simulations, and biological evaluation for non-small cell lung cancer therapy
Weiji Cai, Beier Jiang, Yichen Yin, et al.
Molecular Diversity (2024)
Open Access | Times Cited: 1
From Hit to Lead: Structure-Based Optimization of Novel Selective Inhibitors of Receptor-Interacting Protein Kinase 1 (RIPK1) for the Treatment of Inflammatory Diseases
Liting Zhang, Yueshan Li, Chenyu Tian, et al.
Journal of Medicinal Chemistry (2023) Vol. 67, Iss. 1, pp. 754-773
Closed Access | Times Cited: 3
Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation
Youjin Xiong, Yiqing Wang, Yiqing Wang, et al.
Journal of Computer-Aided Molecular Design (2023) Vol. 37, Iss. 11, pp. 507-517
Closed Access | Times Cited: 2
Bayesian Optimization in the Latent Space of a Variational Autoencoder for the Generation of Selective FLT3 Inhibitors
Raghav Chandra, Robert I. Horne, Michele Vendruscolo
Journal of Chemical Theory and Computation (2023) Vol. 20, Iss. 1, pp. 469-476
Open Access | Times Cited: 2
Uncovering the intricacies of O-GlcNAc modification in cognitive impairment: New insights from regulation to therapeutic targeting
Jianhui Wang, Ning Jiang, Feng Liu, et al.
Pharmacology & Therapeutics (2024), pp. 108761-108761
Closed Access
Design and optimization of novel succinate dehydrogenase inhibitors against agricultural fungi based on Transformer model
Yuan Zhang, Jianqi Chai, Ling Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Integrated Framework of Fragment-Based Method and Generative Model for Lead Drug Molecules Discovery
Uche Chude Okonkwo, Odifentse Mapula-e Lehasa
(2024)
Closed Access
Chembr: A Novel Generative Model Based on Bidirectional Molecular Ring Constraints
lianggui tang, Qingyong Wang, Guohao Lv, et al.
(2024)
Closed Access
Discovery of 5‐(1‐benzyl‐1H‐imidazol‐4‐yl)‐1,2,4‐oxadiazole derivatives as novel RIPK1 inhibitors via structure‐based virtual screening
Yanzhen Yu, Yunzhen Hu, Huihui Yan, et al.
Drug Development Research (2024) Vol. 85, Iss. 5
Closed Access
Artificial intelligence in early stages of structure-based drug discovery
R Ravichandran, Sumin Park, Stasa Skorupan, et al.
Elsevier eBooks (2024), pp. 3-24
Closed Access
A systematic review of deep learning chemical language models in recent era
Hector Flores-Hernandez, Emmanuel Martínez-Ledesma
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Generative deep learning enables the discovery of phosphorylation-suppressed STAT3 inhibitors for non-small cell lung cancer therapy
Weiji Cai, Beier Jiang, Yichen Yin, et al.
Research Square (Research Square) (2024)
Open Access

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