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:

Identification of discriminative gene-level and protein-level features associated with pathogenic gain-of-function and loss-of-function variants
Çiğdem Sevim Bayrak, David Stein, Aayushee Jain, et al.
The American Journal of Human Genetics (2021) Vol. 108, Iss. 12, pp. 2301-2318
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Loss-of-function, gain-of-function and dominant-negative mutations have profoundly different effects on protein structure
Lukas Gerasimavicius, Benjamin Livesey, Joseph A. Marsh
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 174

Mendelian inheritance revisited: dominance and recessiveness in medical genetics
Johannes Zschocke, Peter H. Byers, Andrew O.M. Wilkie
Nature Reviews Genetics (2023) Vol. 24, Iss. 7, pp. 442-463
Closed Access | Times Cited: 54

Integrative proteomic characterization of adenocarcinoma of esophagogastric junction
Shengli Li, Yuan Li, Zhiyuan Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30

Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran
Hamidreza Gharechaee, Aliakbar Nazari Samani, Shahram Khalighi Sigaroodi, et al.
Land (2023) Vol. 12, Iss. 4, pp. 843-843
Open Access | Times Cited: 17

SIGMA leverages protein structural information to predict the pathogenicity of missense variants
Hengqiang Zhao, Huakang Du, Sen Zhao, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 1, pp. 100687-100687
Open Access | Times Cited: 8

Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of a diverse feature set
David Stein, Meltem Ece Kars, Yiming Wu, et al.
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 16

Intrinsic endothelial hyperresponsiveness to inflammatory mediators drives acute episodes in models of Clarkson disease
Ararat J. Ablooglu, Wei‐Sheng Chen, Zhihui Xie, et al.
Journal of Clinical Investigation (2024) Vol. 134, Iss. 10
Open Access | Times Cited: 6

Individuals with JAK1 variants are affected by syndromic features encompassing autoimmunity, atopy, colitis, and dermatitis
Michael E. Horesh, Marta Martín-Fernández, Conor Gruber, et al.
The Journal of Experimental Medicine (2024) Vol. 221, Iss. 6
Open Access | Times Cited: 6

Proteome-scale prediction of molecular mechanisms underlying dominant genetic diseases
Mihaly Badonyi, Joseph A. Marsh
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0307312-e0307312
Open Access | Times Cited: 5

MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction
Fang Ge, Muhammad Arif, Zihao Yan, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 22, pp. 7239-7257
Open Access | Times Cited: 12

Rheostats, toggles, and neutrals, Oh my! A new framework for understanding how amino acid changes modulate protein function
Liskin Swint‐Kruse, Aron W. Fenton
Journal of Biological Chemistry (2024) Vol. 300, Iss. 3, pp. 105736-105736
Open Access | Times Cited: 4

Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
Neeladri Sen, Ivan Anishchenko, Nicola Bordin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 19

VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants
Fang Ge, Chen Li, Shahid Iqbal, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 17

Understanding structure-guided variant effect predictions using 3D convolutional neural networks
Gayatri Ramakrishnan, Coos Baakman, Stephan Heijl, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 11

Evaluating human mutation databases for “treatability” using patient-customized therapy
Swapnil Mittal, Isaac Tang, Joseph G. Gleeson
Med (2022) Vol. 3, Iss. 11, pp. 740-759
Open Access | Times Cited: 13

PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context
Guojie Zhong, Yige Zhao, Demi Zhuang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Mutation Pathogenicity Prediction by a Biology Based Explainable AI Multi-Modal Algorithm
Raizy Kellerman, Omri Nayshool, Ortal Barel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Clinical exome sequencing data from patients with inborn errors of immunity: Cohort level diagnostic yield and the benefit of systematic reanalysis
Emil E. Vorsteveld, Caspar I. van der Made, Sanne P. Smeekens, et al.
Clinical Immunology (2024) Vol. 268, pp. 110375-110375
Open Access | Times Cited: 2

Ligand distances as key predictors of pathogenicity and function in NMDA receptors
Ludovica Montanucci, Tobias Brünger, Nisha Bhattarai, et al.
Human Molecular Genetics (2024)
Open Access | Times Cited: 2

Multiple endocrine neoplasia type 2 (MEN2) and RET specific modifications of the ACMG/AMP variant classification guidelines and impact on the MEN2 RET database
Rebecca L. Margraf, Rachel Z. Alexander, Makenzie Fulmer, et al.
Human Mutation (2022) Vol. 43, Iss. 12, pp. 1780-1794
Open Access | Times Cited: 9

Proteome-scale prediction of molecular mechanisms underlying dominant genetic diseases
Mihaly Badonyi, Joseph A. Marsh
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of a diverse feature set
David Stein, Çiğdem Sevim Bayrak, Yiming Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 7

Page 1 - Next Page

Scroll to top