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:

Predicting pathogenic protein variants
Joseph A. Marsh, Sarah A. Teichmann
Science (2023) Vol. 381, Iss. 6664, pp. 1284-1285
Open Access | Times Cited: 18

Showing 18 citing articles:

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: 1
A comprehensive analysis of SARS-CoV-2 missense mutations indicates that all possible amino acid replacements in the viral proteins occurred within the first two-and-a-half years of the pandemic
Nicole Balasco, Gianluca Damaggio, Luciana Esposito, et al.
International Journal of Biological Macromolecules (2024) Vol. 266, pp. 131054-131054
Open Access | Times Cited: 6
Pervasive ancestry bias in variant effect predictors
Ankit K. Pathak, Nikita Bora, Mihaly Badonyi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Calibration of additional computational tools expands ClinGen recommendation options for variant classification with PP3/BP4 criteria
Timothy Bergquist, Sarah L. Stenton, Emily A.W. Nadeau, et al.
(2024)
Open Access | Times Cited: 5
PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect
Mustafa Tekpinar, Laurent David, Thomas Henry, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Accelerated Missense Mutation Identification in Intrinsically Disordered Proteins Using Deep Learning
Swarnadeep Seth, Aniket Bhattacharya
Biomacromolecules (2025)
Closed Access
Understanding the heterogeneous performance of variant effect predictors across human protein-coding genes
Fawzy Mohamed, Joseph A. Marsh
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 2
Climate Stressors and Physiological Dysregulations: Mechanistic Connections to Pathologies
Hajar Heidari, David A. Lawrence
International Journal of Environmental Research and Public Health (2023) Vol. 21, Iss. 1, pp. 28-28
Open Access | Times Cited: 3
Structural and functional prediction, evaluation, and validation in the post-sequencing era
Chang Li, Yixuan Luo, Yibo Xie, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 23, pp. 446-451
Open Access | Times Cited: 3
AlphaMissense, a groundbreaking advancement in artificial intelligence for predicting the effects of missense variants
Ming Yi, Yunqiang Liu, Zhiguang Su
MedComm – Future Medicine (2024) Vol. 3, Iss. 1
Open Access
Alphamissense Predictive of Pathogenic Protein Variants

American Journal of Medical Genetics Part A (2024) Vol. 194, Iss. 5
Closed Access
Different Evolutionary Trends of Galloanseres: Mitogenomics Analysis
Shengyang Zhou, Xibao Wang, Lidong Wang, et al.
Animals (2024) Vol. 14, Iss. 10, pp. 1437-1437
Open Access
Understanding the heterogeneous performance of variant effect predictors across human protein-coding genes
Fawzy Mohamed, Joseph A. Marsh
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Accelerated Missense Mutation Identification in Intrinsically Disordered Proteins using Deep Learning
Swarnadeep Seth, Aniket Bhattacharya
(2024)
Open Access
USING ARTIFICIAL INTELLIGENCE TO OPTIMIZE GENETIC RESEARCH
Ihor Liadskyi
Animal Breeding and Genetics (2024) Vol. 67, pp. 85-92
Open Access
Biochemistry and genetics are coming together to improve our understanding of genotype to phenotype relationships
Judith Notbohm, Tina Perica
Current Opinion in Structural Biology (2024) Vol. 89, pp. 102952-102952
Open Access
AlphaFold, the successful prediction of three-dimensional protein structures and its impact on structural biology

Elsevier eBooks (2024), pp. 295-335
Closed Access
Progress on the development of prediction tools for detecting disease causing mutations in proteins
M. Michael Gromiha, Medha Pandey, A. Kulandaisamy, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109510-109510
Closed Access
Page 1

Scroll to top