Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Inferring the molecular and phenotypic impact of amino acid variants with MutPred2
Vikas Pejaver, Jorge Urresti, Jose Lugo-Martinez, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 612

Showing 1-25 of 612 citing articles:

Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria
Vikas Pejaver, Alicia B. Byrne, Bing Feng, et al.
The American Journal of Human Genetics (2022) Vol. 109, Iss. 12, pp. 2163-2177
Open Access | Times Cited: 298
Big Data in Public Health: Terminology, Machine Learning, and Privacy
Stephen J. Mooney, Vikas Pejaver
Annual Review of Public Health (2017) Vol. 39, Iss. 1, pp. 95-112
Open Access | Times Cited: 285
MetaRNN: differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning
Chang Li, Degui Zhi, Kai Wang, et al.
Genome Medicine (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 102
How chromosomal inversions reorient the evolutionary process
Emma L. Berdan, Nick Barton, Roger K. Butlin, et al.
Journal of Evolutionary Biology (2023) Vol. 36, Iss. 12, pp. 1761-1782
Open Access | Times Cited: 51
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
Shantanu Jain, Constantina Bakolitsa, Steven E. Brenner, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 38
Critical assessment of missense variant effect predictors on disease-relevant variant data
Ruchir Rastogi, Ryan Chung, Sindy Li, et al.
Human Genetics (2025)
Open Access | Times Cited: 2
VarSite: Disease variants and protein structure
Roman A. Laskowski, James Stephenson, Ian Sillitoe, et al.
Protein Science (2019) Vol. 29, Iss. 1, pp. 111-119
Open Access | Times Cited: 103
BioAider: An efficient tool for viral genome analysis and its application in tracing SARS-CoV-2 transmission
Zhijian Zhou, Ye Qiu, Ying Pu, et al.
Sustainable Cities and Society (2020) Vol. 63, pp. 102466-102466
Open Access | Times Cited: 96
Autism risk in offspring can be assessed through quantification of male sperm mosaicism
Martin W. Breuss, Danny Antaki, Renee D. George, et al.
Nature Medicine (2019) Vol. 26, Iss. 1, pp. 143-150
Open Access | Times Cited: 93
Insights on variant analysis in silico tools for pathogenicity prediction
Felipe Antônio de Oliveira Garcia, Edilene Santos de Andrade, Edenir Inêz Palmero
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 63
Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology
Jun Yan, Xiangfeng Wang
The Plant Journal (2022) Vol. 111, Iss. 6, pp. 1527-1538
Closed Access | Times Cited: 62
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
Fuyi Li, Shuangyu Dong, André Leier, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 57
Genome interpretation using in silico predictors of variant impact
Panagiotis Katsonis, Kevin Wilhelm, Amanda M. Williams, et al.
Human Genetics (2022) Vol. 141, Iss. 10, pp. 1549-1577
Open Access | Times Cited: 54
Interpreting protein variant effects with computational predictors and deep mutational scanning
Benjamin Livesey, Joseph A. Marsh
Disease Models & Mechanisms (2022) Vol. 15, Iss. 6
Open Access | Times Cited: 41
Neurodevelopmental disorders and cancer networks share pathways, but differ in mechanisms, signaling strength, and outcome
Bengi Ruken Yavuz, M. Kaan Arici, Habibe Cansu Demirel, et al.
npj Genomic Medicine (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 24
MAGPIE: accurate pathogenic prediction for multiple variant types using machine learning approach
Yicheng Liu, Tianyun Zhang, Ningyuan You, et al.
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 16
Functional EPAS1 / HIF2A missense variant is associated with hematocrit in Andean highlanders
Elijah S. Lawrence, Wanjun Gu, Ryan J. Bohlender, et al.
Science Advances (2024) Vol. 10, Iss. 6
Open Access | Times Cited: 16
Structure-informed protein language models are robust predictors for variant effects
Yuanfei Sun, Yang Shen
Human Genetics (2024)
Open Access | Times Cited: 10
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion
Zihao Yan, Fang Ge, Yan Liu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1407-1418
Closed Access | Times Cited: 9
Leveraging cancer mutation data to inform the pathogenicity classification of germline missense variants
Bushra Haque, David Cheerie, Amy Pan, et al.
PLoS Genetics (2025) Vol. 21, Iss. 1, pp. e1011540-e1011540
Open Access | Times Cited: 1
CAGI6 ID panel challenge: assessment of phenotype and variant predictions in 415 children with neurodevelopmental disorders (NDDs)
Maria Cristina Aspromonte, Alessio Del Conte, Shaowen Zhu, et al.
Human Genetics (2025)
Open Access | Times Cited: 1
The impact of systematized generation, evaluation, and incorporation of machine learning algorithms for clinical variant classification
Laure Frésard, Flavia M. Facio, Elaine Chen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Evaluating predictors of kinase activity of STK11 variants identified in primary human non-small cell lung cancers
Yile Chen, Kyoungyeul Lee, Junwoo Woo, et al.
Human Genetics (2025)
Open Access | Times Cited: 1
Integrating Artificial Intelligence and Bioinformatics Methods to Identify Disruptive STAT1 Variants Impacting Protein Stability and Function
Ebtihal Kamal, Lamis AbdelGadir Kaddam, M Ahmed, et al.
Genes (2025) Vol. 16, Iss. 3, pp. 303-303
Open Access | Times Cited: 1
Cryptic mitochondrial DNA mutations coincide with mid-late life and are pathophysiologically informative in single cells across tissues and species
Alistair P. Green, Florian Klimm, Aidan S. Marshall, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top