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:

Variation Interpretation Predictors: Principles, Types, Performance, and Choice
Abhishek Niroula, Mauno Vihinen
Human Mutation (2016) Vol. 37, Iss. 6, pp. 579-597
Open Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

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

Machine Learning in Enzyme Engineering
Stanislav Mazurenko, Zbyněk Prokop, Jiřı́ Damborský
ACS Catalysis (2019) Vol. 10, Iss. 2, pp. 1210-1223
Open Access | Times Cited: 346

ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide Variants
Najmeh Alirezaie, Kristin D. Kernohan, Taila Hartley, et al.
The American Journal of Human Genetics (2018) Vol. 103, Iss. 4, pp. 474-483
Open Access | Times Cited: 200

PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants
Emidio Capriotti, Piero Fariselli
Nucleic Acids Research (2017) Vol. 45, Iss. W1, pp. W247-W252
Open Access | Times Cited: 198

MutPred2: inferring the molecular and phenotypic impact of amino acid variants
Vikas Pejaver, Jorge Urresti, Jose Lugo-Martinez, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 188

Genetics of Combined Pituitary Hormone Deficiency: Roadmap into the Genome Era
Qing Fang, Akima S George, Michelle L. Brinkmeier, et al.
Endocrine Reviews (2016) Vol. 37, Iss. 6, pp. 636-675
Open Access | Times Cited: 183

Biophysical and Mechanistic Models for Disease-Causing Protein Variants
Amelie Stein, Douglas M. Fowler, Rasmus Hartmann‐Petersen, et al.
Trends in Biochemical Sciences (2019) Vol. 44, Iss. 7, pp. 575-588
Open Access | Times Cited: 167

CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions
Max Schubach, Thorben Maaß, Lusiné Nazaretyan, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. D1, pp. D1143-D1154
Open Access | Times Cited: 135

Guidelines for releasing a variant effect predictor
Benjamin Livesey, Mihaly Badonyi, Mafalda Dias, et al.
Genome biology (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 2

Identification of pathogenic missense mutations using protein stability predictors
Lukas Gerasimavicius, Xin Liu, Joseph A. Marsh
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 104

How good are pathogenicity predictors in detecting benign variants?
Abhishek Niroula, Mauno Vihinen
PLoS Computational Biology (2019) Vol. 15, Iss. 2, pp. e1006481-e1006481
Open Access | Times Cited: 100

SAAMBE-3D: Predicting Effect of Mutations on Protein–Protein Interactions
Swagata Pahari, Gen Li, Adithya Krishna Murthy, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 7, pp. 2563-2563
Open Access | Times Cited: 98

Predicting Functional Effects of Synonymous Variants: A Systematic Review and Perspectives
Zishuo Zeng, Yana Bromberg
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 81

Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning
Arun Prasad Pandurangan, Tom L. Blundell
Protein Science (2019) Vol. 29, Iss. 1, pp. 247-257
Open Access | Times Cited: 77

The Evolving Genomic Landscape of Barrett’s Esophagus and Esophageal Adenocarcinoma
Gianmarco Contino, Thomas L. Vaughan, David C. Whiteman, et al.
Gastroenterology (2017) Vol. 153, Iss. 3, pp. 657-673.e1
Open Access | Times Cited: 84

LAMA2gene mutation update: Toward a more comprehensive picture of the laminin-α2 variome and its related phenotypes
Jorge Oliveira, Angela Gruber, Márcio Cardoso, et al.
Human Mutation (2018) Vol. 39, Iss. 10, pp. 1314-1337
Open Access | Times Cited: 83

Pharmacogenomics of the cytochrome P450 2C family: impacts of amino acid variations on drug metabolism
Adriana Isvoran, Maxime Louet, Diana Vladoiu, et al.
Drug Discovery Today (2016) Vol. 22, Iss. 2, pp. 366-376
Closed Access | Times Cited: 67

Next generation sequencing in pediatric hepatology and liver transplantation
Emanuele Nicastro, Lorenzo D’Antiga
Liver Transplantation (2017) Vol. 24, Iss. 2, pp. 282-293
Open Access | Times Cited: 65

Analysis and Interpretation of the Impact of Missense Variants in Cancer
Maria Petrosino, Leonore Novak, Alessandra Pasquo, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 11, pp. 5416-5416
Open Access | Times Cited: 55

ProTstab2 for Prediction of Protein Thermal Stabilities
Yang Yang, Jianjun Zhao, Lianjie Zeng, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 18, pp. 10798-10798
Open Access | Times Cited: 37

Machine Learning: A Suitable Method for Biocatalysis
Pedro Sampaio, Pedro Fernandes
Catalysts (2023) Vol. 13, Iss. 6, pp. 961-961
Open Access | Times Cited: 18

PON-tstab: Protein Variant Stability Predictor. Importance of Training Data Quality
Yang Yang, Siddhaling Urolagin, Abhishek Niroula, et al.
International Journal of Molecular Sciences (2018) Vol. 19, Iss. 4, pp. 1009-1009
Open Access | Times Cited: 59

Missense variant pathogenicity predictors generalize well across a range of function‐specific prediction challenges
Vikas Pejaver, Sean D. Mooney, Predrag Radivojac
Human Mutation (2017) Vol. 38, Iss. 9, pp. 1092-1108
Open Access | Times Cited: 52

Functional effects of protein variants
Mauno Vihinen
Biochimie (2020) Vol. 180, pp. 104-120
Open Access | Times Cited: 46

Variation benchmark datasets: update, criteria, quality and applications
Anasua Sarkar, Yang Yang, Mauno Vihinen
Database (2019) Vol. 2020
Open Access | Times Cited: 44

Page 1 - Next Page

Scroll to top