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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 Informs RNA‐Binding Chemical Space**
Kamyar Yazdani, Deondre Jordan, Mo Yang, et al.
Angewandte Chemie International Edition (2022) Vol. 62, Iss. 11
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery
Kengo Sato, Michiaki Hamada
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 36
Proximity-Induced Nucleic Acid Degrader (PINAD) Approach to Targeted RNA Degradation Using Small Molecules
Sigitas Mikutis, Maria Rebelo, Eliza Yankova, et al.
ACS Central Science (2023) Vol. 9, Iss. 5, pp. 892-904
Open Access | Times Cited: 33
Pervasive transcriptome interactions of protein-targeted drugs
Linglan Fang, Willem A. Velema, Yujeong Lee, et al.
Nature Chemistry (2023) Vol. 15, Iss. 10, pp. 1374-1383
Closed Access | Times Cited: 29
Contemporary Progress and Opportunities in RNA-Targeted Drug Discovery
Amanda L. Garner
ACS Medicinal Chemistry Letters (2023) Vol. 14, Iss. 3, pp. 251-259
Open Access | Times Cited: 24
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning
Sowmya Ramaswamy Krishnan, Arijit Roy, M. Michael Gromiha
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 8
Advances and Mechanisms of RNA–Ligand Interaction Predictions
Zhuo Chen, Chengwei Zeng, Haoquan Liu, et al.
Life (2025) Vol. 15, Iss. 1, pp. 104-104
Open Access
RNATACs: Multispecific small molecules targeting RNA by induced proximity
Yan Song, Jia Cui, Jiaqiang Zhu, et al.
Cell chemical biology (2024) Vol. 31, Iss. 6, pp. 1101-1117
Open Access | Times Cited: 5
Identifying small-molecules binding sites in RNA conformational ensembles with SHAMAN
Francesco Paolo Panei, Paraskevi Gkeka, Massimiliano Bonomi
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery
Ella Czarina Morishita, Shingo Nakamura
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 4, pp. 415-431
Open Access | Times Cited: 4
Discovery of Small Molecules Targeting the Frameshifting Element RNA in SARS-CoV-2 Viral Genome
Mo Yang, Feyisola P. Olatunji, Curran A. Rhodes, et al.
ACS Medicinal Chemistry Letters (2023) Vol. 14, Iss. 6, pp. 757-765
Closed Access | Times Cited: 12
Nanoporous Crystalline Materials for the Recognition and Applications of Nucleic Acids
Long Yu, Yuhao Wang, Yuqing Sun, et al.
Advanced Materials (2023)
Closed Access | Times Cited: 12
Recognizing the power of machine learning and other computational methods to accelerate progress in small molecule targeting of RNA
Greta Bagnolini, TinTin B. Luu, Amanda E. Hargrove
RNA (2023) Vol. 29, Iss. 4, pp. 473-488
Open Access | Times Cited: 11
Advances in machine-learning approaches to RNA-targeted drug design
Yuanzhe Zhou, Shi‐Jie Chen
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100053-100053
Open Access | Times Cited: 3
LncRNAs: the good, the bad, and the unknown
Ganesan Arunkumar
Biochemistry and Cell Biology (2023) Vol. 102, Iss. 1, pp. 9-27
Open Access | Times Cited: 8
Functional microRNA-targeting drug discovery by graph-based deep learning
Arash Keshavarzi Arshadi, Milad Salem, Heather Karner, et al.
Patterns (2024) Vol. 5, Iss. 1, pp. 100909-100909
Open Access | Times Cited: 2
Engineered DNA bonsai system for ultrasensitive wide-field determination and intracellular dynamic imaging of protein with tunable dynamic range and sensitivity
Lingqi Kong, Zeshuai Han, Mao Xia, et al.
Nano Today (2024) Vol. 54, pp. 102111-102111
Closed Access | Times Cited: 2
Physicochemical Principles Driving Small Molecule Binding to RNA
Timothy E. H. Allen, James L. McDonagh, Malgorzata Broncel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
G4-QuadScreen: A Computational Tool for Identifying Multi-Target-Directed Anticancer Leads against G-Quadruplex DNA
Jyotsna Bhat-Ambure, Pravin Ambure, Eva Serrano‐Candelas, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3817-3817
Open Access | Times Cited: 6
The emergent role of explainable artificial intelligence in the materials sciences
Tommy Liu, Amanda S. Barnard
Cell Reports Physical Science (2023) Vol. 4, Iss. 10, pp. 101630-101630
Open Access | Times Cited: 5
Competitive Microarray Screening Reveals Functional Ligands for the DHX15 RNA G-Quadruplex
Peri R. Prestwood, Mo Yang, Grace V. Lewis, et al.
ACS Medicinal Chemistry Letters (2024) Vol. 15, Iss. 6, pp. 814-821
Open Access | Times Cited: 1
Exploring the role of process control and catalyst design in methane catalytic decomposition: A machine learning perspective
Yuming Wen, Shule Wang, Libo Wu, et al.
International Journal of Hydrogen Energy (2024) Vol. 72, pp. 601-613
Closed Access | Times Cited: 1
Structure-Informed Design of an Ultra Bright RNA-activated Fluorophore
John S. Schneekloth, Mo Yang, Peri R. Prestwood, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
RNA-targeted small-molecule drug discoveries: a machine-learning perspective
Huan Xiao, Xin Yang, Yihao Zhang, et al.
RNA Biology (2023) Vol. 20, Iss. 1, pp. 384-397
Open Access | Times Cited: 4
Probing Bioactive Chemical Space to Discover RNA-Targeted Small Molecules
Sarah L. Wicks, Brittany S. Morgan, Alexander W. Wilson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
A QSAR study for predicting malformation in zebrafish embryo
Mahsa Daneshmand, Jamileh Salar-Amoli, Negin BaghbanZadeh
Toxicology Mechanisms and Methods (2024) Vol. 34, Iss. 7, pp. 743-749
Closed Access
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