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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:

S-CAP extends pathogenicity prediction to genetic variants that affect RNA splicing
Karthik A. Jagadeesh, Joseph M. Paggi, James Ye, et al.
Nature Genetics (2019) Vol. 51, Iss. 4, pp. 755-763
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores
Philipp Rentzsch, Max Schubach, Jay Shendure, et al.
Genome Medicine (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 540
MMSplice: modular modeling improves the predictions of genetic variant effects on splicing
Jun Cheng, Thi Yen Duong Nguyen, Kamil J. Cygan, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 204
Identification and analysis of splicing quantitative trait loci across multiple tissues in the human genome
Diego Garrido-Martín, Beatrice Borsari, Miquel Calvo, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 115
Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics
Sateesh Maddirevula, Hiroyuki Kuwahara, Nour Ewida, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 74
ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden
Andrew G. Sharo, Yangyun Zou, Aashish N. Adhikari, et al.
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 24
A sequence-based, deep learning model accurately predicts RNA splicing branchpoints
Joseph M. Paggi, Gill Bejerano
RNA (2018) Vol. 24, Iss. 12, pp. 1647-1658
Open Access | Times Cited: 75
De novo variants in exomes of congenital heart disease patients identify risk genes and pathways
Çiğdem Sevim Bayrak, Peng Zhang, Martin Tristani‐Firouzi, et al.
Genome Medicine (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 58
AutoPVS1: An automatic classification tool for PVS1 interpretation of null variants
Jiale Xiang, Jiguang Peng, Samantha Baxter, et al.
Human Mutation (2020) Vol. 41, Iss. 9, pp. 1488-1498
Open Access | Times Cited: 57
Interpretable prioritization of splice variants in diagnostic next-generation sequencing
Daniel Daniš, Julius O.B. Jacobsen, Leigh Carmody, et al.
The American Journal of Human Genetics (2021) Vol. 108, Iss. 9, pp. 1564-1577
Open Access | Times Cited: 55
VannoPortal: multiscale functional annotation of human genetic variants for interrogating molecular mechanism of traits and diseases
Dandan Huang, Yao Zhou, Xianfu Yi, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1408-D1416
Open Access | Times Cited: 54
Comparison of in silico strategies to prioritize rare genomic variants impacting RNA splicing for the diagnosis of genomic disorders
Charlie F Rowlands, Huw B. Thomas, Jenny Lord, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 50
Dissecting genetic architecture of rare dystonia: genetic, molecular and clinical insights
Burcu Atasu, Javier Simón‐Sánchez, Haşmet Hanağası, et al.
Journal of Medical Genetics (2024), pp. jmg-109099
Open Access | Times Cited: 7
Machine Learning Approaches for the Prioritization of Genomic Variants Impacting Pre-mRNA Splicing
Charlie F Rowlands, Diana Baralle, Jamie M. Ellingford
Cells (2019) Vol. 8, Iss. 12, pp. 1513-1513
Open Access | Times Cited: 52
CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations
Shuang� Li, K. Joeri van der Velde, Dick de Ridder, et al.
Genome Medicine (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 48
Machine learning applications for therapeutic tasks with genomics data
Kexin Huang, Cao Xiao, Lucas M. Glass, et al.
Patterns (2021) Vol. 2, Iss. 10, pp. 100328-100328
Open Access | Times Cited: 33
Mechanism and modeling of human disease-associated near-exon intronic variants that perturb RNA splicing
Hung‐Lun Chiang, Yi-Ting Chen, Jia-Ying Su, et al.
Nature Structural & Molecular Biology (2022) Vol. 29, Iss. 11, pp. 1043-1055
Closed Access | Times Cited: 23
Benchmarking splice variant prediction algorithms using massively parallel splicing assays
Cathy Smith, Jacob O. Kitzman
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 14
Predicting the impact of rare variants on RNA splicing in CAGI6
Jenny Lord, Carolina Jaramillo Oquendo, Htoo A. Wai, et al.
Human Genetics (2024)
Open Access | Times Cited: 5
Optimization of in silico tools for predicting genetic variants: individualizing for genes with molecular sub-regional stratification
Bin Tang, Bin Li, Liang‐Di Gao, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1776-1786
Closed Access | Times Cited: 43
Resurrecting the alternative splicing landscape of archaic hominins using machine learning
Colin M. Brand, Laura L. Colbran, John A. Capra
Nature Ecology & Evolution (2023) Vol. 7, Iss. 6, pp. 939-953
Open Access | Times Cited: 11
Intrinsic Regulatory Role of RNA Structural Arrangement in Alternative Splicing Control
Katarzyna Taylor, Krzysztof Sobczak
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 14, pp. 5161-5161
Open Access | Times Cited: 30
Defects in mRNA splicing and implications for infertility: a comprehensive review and in silico analysis
Kuokuo Li, Yuge Chen, Yuying Sheng, et al.
Human Reproduction Update (2025)
Closed Access
What’s Wrong in a Jump? Prediction and Validation of Splice Site Variants
Giulia Riolo, Silvia Cantara, Claudia Ricci
Methods and Protocols (2021) Vol. 4, Iss. 3, pp. 62-62
Open Access | Times Cited: 23
Performance evaluation of differential splicing analysis methods and splicing analytics platform construction
Kuokuo Li, Tengfei Luo, Yan Zhu, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. 16, pp. 9115-9126
Open Access | Times Cited: 15
Detecting and understanding meaningful cancerous mutations based on computational models of mRNA splicing
Nicolas Lynn, Tamir Tuller
npj Systems Biology and Applications (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
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