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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:

DeepCLIP: predicting the effect of mutations on protein–RNA binding with deep learning
Alexander G. B. Grønning, Thomas Koed Doktor, Simon J. Larsen, et al.
Nucleic Acids Research (2020)
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

A review of deep learning applications in human genomics using next-generation sequencing data
W. Alharbi, Mamoon Rashid
Human Genomics (2022) Vol. 16, Iss. 1
Open Access | Times Cited: 77
Accurate protein function prediction via graph attention networks with predicted structure information
Ben Lai, Jinbo Xu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 78
RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
Kunqi Chen, Bowen Song, Yujiao Tang, et al.
Nucleic Acids Research (2020) Vol. 49, Iss. D1, pp. D1396-D1404
Open Access | Times Cited: 77
RBPsuite: RNA-protein binding sites prediction suite based on deep learning
Xiaoyong Pan, Yi Fang, Xianfeng Li, et al.
BMC Genomics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 71
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks
Peter K. Koo, Antonio Majdandzic, Matthew Ploenzke, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 5, pp. e1008925-e1008925
Open Access | Times Cited: 70
RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication
Bowen Song, Xuan Wang, Zhanmin Liang, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D1388-D1396
Open Access | Times Cited: 45
Prediction of RNA–protein interactions using a nucleotide language model
Keisuke Yamada, Michiaki Hamada
Bioinformatics Advances (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 42
Big data and deep learning for RNA biology
Hyeonseo Hwang, Hyeonseong Jeon, Nagyeong Yeo, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1293-1321
Open Access | Times Cited: 12
All exons are not created equal—exon vulnerability determines the effect of exonic mutations on splicing
Lise Lolle Holm, Thomas Koed Doktor, Katharina Kirkegaard Flugt, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 8, pp. 4588-4603
Open Access | Times Cited: 9
RBPsuite 2.0: an updated RNA-protein binding site prediction suite with high coverage on species and proteins based on deep learning
Xiaoyong Pan, Yi Fang, Xiaojian Liu, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Protein–RNA interaction prediction with deep learning: structure matters
Junkang Wei, Siyuan Chen, Licheng Zong, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 53
DNAcycP: a deep learning tool for DNA cyclizability prediction
Keren Li, Matthew S. Carroll, Reza Vafabakhsh, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 6, pp. 3142-3154
Open Access | Times Cited: 32
Deciphering 3'UTR Mediated Gene Regulation Using Interpretable Deep Representation Learning
Yuning Yang, Gen Li, Kuan Pang, et al.
Advanced Science (2024) Vol. 11, Iss. 39
Open Access | Times Cited: 7
Protein structure-based evaluation of missense variants: Resources, challenges and future directions
Alessia David, Michael J.E. Sternberg
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102600-102600
Open Access | Times Cited: 13
An RNA foundation model enables discovery of disease mechanisms and candidate therapeutics
Albi Celaj, Alice Jiexin Gao, Tammy Lau, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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
MultiPep: a hierarchical deep learning approach for multi-label classification of peptide bioactivities
Alexander G. B. Grønning, Tim Kacprowski, Camilla Schéele
Biology Methods and Protocols (2021)
Open Access | Times Cited: 27
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
Splicing Analysis of Exonic TSC1 and TSC2 Gene Variants Causing Tuberous Sclerosis Complex
Qingqing You, Jingwei Liu, Ran Zhang, et al.
Human Mutation (2025) Vol. 2025, Iss. 1
Open Access
Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network
Hehe Wu, Xiaoyong Pan, Yang Yang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 22
Rescue of mis-splicing of a common SLC26A4 mutant associated with sensorineural hearing loss by antisense oligonucleotides
Pengchao Feng, Zhijiao Xu, Jialin Chen, et al.
Molecular Therapy — Nucleic Acids (2022) Vol. 28, pp. 280-292
Open Access | Times Cited: 15
Regulating PCCA gene expression by modulation of pseudoexon splicing patterns to rescue enzyme activity in propionic acidemia
Ulrika Simone Spangsberg Petersen, Maja Dembić, Ainhoa Martínez‐Pizarro, et al.
Molecular Therapy — Nucleic Acids (2023) Vol. 35, Iss. 1, pp. 102101-102101
Open Access | Times Cited: 9
GenerRNA: A generative pre-trained language model for de novo RNA design
Yichong Zhao, Kenta Oono, Hiroki Takizawa, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0310814-e0310814
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
Machine Learning Approaches on High Throughput NGS Data to Unveil Mechanisms of Function in Biology and Disease
Vasileios C. Pezoulas, Orsalia Hazapis, Nefeli Lаgopati, et al.
Cancer Genomics & Proteomics (2021) Vol. 18, Iss. 5, pp. 605-626
Open Access | Times Cited: 17
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