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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:

TriPepSVM: de novo prediction of RNA-binding proteins based on short amino acid motifs
Annkatrin Bressin, Roman Schulte-Sasse, Davide Figini, et al.
Nucleic Acids Research (2019) Vol. 47, Iss. 9, pp. 4406-4417
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

How RNA-Binding Proteins Interact with RNA: Molecules and Mechanisms
Meredith Corley, Margaret C. Burns, G Yeo
Molecular Cell (2020) Vol. 78, Iss. 1, pp. 9-29
Open Access | Times Cited: 621
Purification of cross-linked RNA-protein complexes by phenol-toluol extraction
Erika C. Urdaneta, Carlos H. Vieira-Vieira, Timon Hick, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 200
BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models
Hongliang Li, Yihe Pang, Bin Liu
Nucleic Acids Research (2021) Vol. 49, Iss. 22, pp. e129-e129
Open Access | Times Cited: 171
Biological Sequence Classification: A Review on Data and General Methods
Chunyan Ao, Shihu Jiao, Yansu Wang, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 70
Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations
Ping Xuan, Shuxiang Pan, Tiangang Zhang, et al.
Cells (2019) Vol. 8, Iss. 9, pp. 1012-1012
Open Access | Times Cited: 140
ProNA2020 predicts protein–DNA, protein–RNA, and protein–protein binding proteins and residues from sequence
Jiajun Qiu, Michael Bernhofer, Michael Heinzinger, et al.
Journal of Molecular Biology (2020) Vol. 432, Iss. 7, pp. 2428-2443
Closed Access | Times Cited: 100
Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data
Feifei Cui, Zilong Zhang, Chen Cao, et al.
PROTEOMICS (2022) Vol. 22, Iss. 8
Closed Access | Times Cited: 30
HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence
Wenhao Jin, Kristopher W. Brannan, Katannya Kapeli, et al.
Molecular Cell (2023) Vol. 83, Iss. 14, pp. 2595-2611.e11
Open Access | Times Cited: 22
Long non‐coding RNAs in cutaneous biology and proliferative skin diseases: Advances and perspectives
Lipeng Tang, Yongxin Liang, Hesong Xie, et al.
Cell Proliferation (2019) Vol. 53, Iss. 1
Open Access | Times Cited: 49
The RNA-bound proteome of MRSA reveals post-transcriptional roles for helix-turn-helix DNA-binding and Rossmann-fold proteins
Liang‐Cui Chu, Pedro Arêde, Wei Li, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 25
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning
Jun Zhang, Ke Yan, Qingcai Chen, et al.
Bioinformatics (2022) Vol. 38, Iss. 8, pp. 2135-2143
Closed Access | Times Cited: 24
RBPro-RF: Use Chou’s 5-steps rule to predict RNA-binding proteins via random forest with elastic net
Xiaomeng Sun, Tingyu Jin, Cheng Chen, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 197, pp. 103919-103919
Closed Access | Times Cited: 37
IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation
Ning Wang, Jun Zhang, Bin Liu
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 4, pp. 2284-2293
Closed Access | Times Cited: 32
Genome-wide discovery of G-quadruplexes in barley
H. Busra Cagirici, Hikmet Budak, Taner Z. Sen
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 27
The Function and Therapeutic Potential of Circular RNA in Cardiovascular Diseases
Kai Wang, Xiangqian Gao, Tao Wang, et al.
Cardiovascular Drugs and Therapy (2021) Vol. 37, Iss. 1, pp. 181-198
Closed Access | Times Cited: 25
RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins
Xinxin Peng, Xiaoyu Wang, Yuming Guo, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 17
DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier
Qinqin Wei, Qingmei Zhang, Hongli Gao, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109875-109875
Closed Access | Times Cited: 16
DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network
Xinyu Zhang, Yifei Wang, Qinqin Wei, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111354-111354
Closed Access | Times Cited: 9
High-throughput quantitation of protein-RNA UV-crosslinking efficiencies as a predictive tool for high confidence identification of RNA binding proteins
JohnCarlo Kristofich, Christopher V. Nicchitta
RNA (2024), pp. rna.079848.123-rna.079848.123
Closed Access | Times Cited: 3
Large-scale map of RNA-binding protein interactomes across the mRNA life cycle
Lena Annika Street, Katherine Rothamel, Kristopher W. Brannan, et al.
Molecular Cell (2024)
Open Access | Times Cited: 3
From parts lists to functional significance—RNA–protein interactions in gene regulation
Cornelia Kilchert, Katja Sträßer, Vladislav Kunetsky, et al.
Wiley Interdisciplinary Reviews - RNA (2019) Vol. 11, Iss. 3
Closed Access | Times Cited: 24
AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques
Avdesh Mishra, Reecha Khanal, Wasi Ul Kabir, et al.
Artificial Intelligence in Medicine (2021) Vol. 113, pp. 102034-102034
Open Access | Times Cited: 19
Exploring new roles for RNA-binding proteins in epigenetic and gene regulation
Pedro Antonio Ávila-López, Shannon Lauberth
Current Opinion in Genetics & Development (2023) Vol. 84, pp. 102136-102136
Closed Access | Times Cited: 8
Proteome-scale analysis of phase-separated proteins in immunofluorescence images
Chunyu Yu, Boyan Shen, Kaiqiang You, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 20
iDRBP-ECHF: Identifying DNA- and RNA-binding proteins based on extensible cubic hybrid framework
Jia‐Wei Feng, Ning Wang, Jun Zhang, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105940-105940
Closed Access | Times Cited: 12
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