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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:

Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures
Lei Sun, Kui Xu, Wenze Huang, et al.
Cell Research (2021) Vol. 31, Iss. 5, pp. 495-516
Open Access | Times Cited: 92

Showing 26-50 of 92 citing articles:

Deep learning‐enabled discovery and characterization of HKT genes in Spartina alterniflora
Maogeng Yang, Shoukun Chen, Zhangping Huang, et al.
The Plant Journal (2023) Vol. 116, Iss. 3, pp. 690-705
Open Access | Times Cited: 13
PrismNet: predicting protein–RNA interaction using in vivo RNA structural information
Yiran Xu, Jianghui Zhu, Wenze Huang, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. W1, pp. W468-W477
Open Access | Times Cited: 12
Cathepsin B S-nitrosylation promotes ADAR1-mediated editing of its own mRNA transcript via an ADD1/MATR3 regulatory axis
Zhang Lin, Shuang Zhao, Xuesong Li, et al.
Cell Research (2023) Vol. 33, Iss. 7, pp. 546-561
Closed Access | Times Cited: 12
A systematic benchmark of machine learning methods for protein–RNA interaction prediction
Marc Horlacher, Giulia Cantini, Julian Hesse, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 10
Identification of antiviral RNAi regulators, ILF3/DHX9, recruit at ZIKV stem loop B to protect against ZIKV induced microcephaly
Zhiwei Lei, Yu Jeffrey Gu, Ying Liu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
SeqMG-RPI: A Sequence-Based Framework Integrating Multi-Scale RNA Features and Protein Graphs for RNA-Protein Interaction Prediction
Teng Ma, Mingjian Jiang, Shunpeng Pang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Integration of structural study and machine learning to elucidate the RNA-SFs interaction atlas in eukaryotic cells
Yuan Tian, Feng Yang, Meisam Zargar, et al.
Biotechnology Advances (2025), pp. 108608-108608
Closed Access
RNA structure: implications in viral infections and neurodegenerative diseases
Suiru Lu, Yongkang Tang, Shaozhen Yin, et al.
Advanced Biotechnology (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3
SHAPEwarp-web: sequence-agnostic search for structurally homologous RNA regions across databases of chemical probing data
Niek R Scholten, Dennis Haandrikman, Joshua O Tolhuis, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W362-W367
Open Access | Times Cited: 3
A deep learning model for characterizing protein-RNA interactions from sequences at single-base resolution
Xilin Shen, Ya‐Ming Hou, Xueer Wang, et al.
Patterns (2025) Vol. 6, Iss. 1, pp. 101150-101150
Open Access
A novel NLP-based method and algorithm to discover RNA-binding protein (RBP) motifs, contexts, binding preferences, and interactions
Shaimae I. Elhajjajy, Zhiping Weng
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Advanced strategies for screening and identifying RNA-targeted small molecules: Bridging therapeutic potential and innovation
Zukela Ruzi, Daxiong Han, Kailibinuer Aierken
Results in Chemistry (2025), pp. 102305-102305
Open Access
Generative and predictive neural networks for the design of functional RNA molecules
Aidan T. Riley, James Robson, А. Д. Уланова, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Genome-wide RNA structure changes during human neurogenesis modulate gene regulatory networks
Jiaxu Wang, Tong Zhang, Yu Zhang, et al.
Molecular Cell (2021) Vol. 81, Iss. 23, pp. 4942-4953.e8
Open Access | Times Cited: 20
Experimental demonstration and pan-structurome prediction of climate-associated riboSNitches in Arabidopsis
Ángel Ferrero‐Serrano, Megan M. Sylvia, Peter C. Forstmeier, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 14
PRIESSTESS: interpretable, high-performing models of the sequence and structure preferences of RNA-binding proteins
Kaitlin U. Laverty, Arttu Jolma, Sara E. Pour, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 19, pp. e111-e111
Open Access | Times Cited: 13
Exploring the landscape of tools and resources for the analysis of long non-coding RNAs
Monica Ballarino, Gerardo Pepe, Manuela Helmer‐Citterich, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 4706-4716
Open Access | Times Cited: 8
Advances in treatment strategies for COVID-19: Insights from other coronavirus diseases and prospects
Yingwen Li, Jiaming Lan, Gary Wong
Biosafety and Health (2023) Vol. 5, Iss. 5, pp. 272-279
Open Access | Times Cited: 7
Disease-associated human genetic variation through the lens of precursor and mature RNA structure
Justin M. Waldern, Jayashree Kumar, Alain Laederach
Human Genetics (2021) Vol. 141, Iss. 10, pp. 1659-1672
Open Access | Times Cited: 15
RNANetMotif: Identifying sequence-structure RNA network motifs in RNA-protein binding sites
Hongli Ma, Han Wen, Zhiyuan Xue, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 7, pp. e1010293-e1010293
Open Access | Times Cited: 11
Reformer: Deep learning model for characterizing protein-RNA interactions from sequence at single-base resolution
Xilin Shen, Xiangchun Li
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features
Lishen Zhang, Chengqian Lu, Min Zeng, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 10
Challenges in structural modeling of RNA-protein interactions
Xudong Liu, Yingtian Duan, Xu Hong, et al.
Current Opinion in Structural Biology (2023) Vol. 81, pp. 102623-102623
Closed Access | Times Cited: 5
Generative and predictive neural networks for the design of functional RNA molecules
Aidan T. Riley, James Robson, Alexander A. Green
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Artificial intelligence methods enhance the discovery of RNA interactions
Gerardo Pepe, R Appierdo, Chiara Carrino, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 8

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