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:

Early computational detection of potential high-risk SARS-CoV-2 variants
Karim Beguir, Marcin J. Skwark, Yunguan Fu, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106618-106618
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

The Impact of Evolving SARS-CoV-2 Mutations and Variants on COVID-19 Vaccines
Gary R. McLean, Jeremy P. Kamil, Benhur Lee, et al.
mBio (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 173

The Evolution and Biology of SARS-CoV-2 Variants
Amalio Telenti, Emma B. Hodcroft, David L. Robertson
Cold Spring Harbor Perspectives in Medicine (2022) Vol. 12, Iss. 5, pp. a041390-a041390
Open Access | Times Cited: 152

Learning from prepandemic data to forecast viral escape
Nicole N. Thadani, Sarah F. Gurev, Pascal Notin, et al.
Nature (2023) Vol. 622, Iss. 7984, pp. 818-825
Open Access | Times Cited: 62

Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution
Guangyu Wang, Xiaohong Liu, Kai Wang, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 2007-2018
Closed Access | Times Cited: 40

Predicting the antigenic evolution of SARS-COV-2 with deep learning
Wenkai Han, Ningning Chen, Xinzhou Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 31

Fitness, growth and transmissibility of SARS-CoV-2 genetic variants
Erik Volz
Nature Reviews Genetics (2023) Vol. 24, Iss. 10, pp. 724-734
Closed Access | Times Cited: 31

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Maxim Zvyagin, Alexander Brace, Kyle Hippe, et al.
The International Journal of High Performance Computing Applications (2023) Vol. 37, Iss. 6, pp. 683-705
Open Access | Times Cited: 27

Progressive loss of conserved spike protein neutralizing antibody sites in Omicron sublineages is balanced by preserved T cell immunity
Alexander Muik, Bonny Gaby Lui, Jasmin Quandt, et al.
Cell Reports (2023) Vol. 42, Iss. 8, pp. 112888-112888
Open Access | Times Cited: 22

Inferring effects of mutations on SARS-CoV-2 transmission from genomic surveillance data
Brian Lee, Ahmed Abdul Quadeer, Muhammad S. Sohail, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Maxim Zvyagin, Alexander Brace, Kyle Hippe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 27

Emerging applications of artificial intelligence in pathogen genomics
C. J. E. Suster, David Pham, Jen Kok, et al.
Frontiers in Bacteriology (2024) Vol. 3
Open Access | Times Cited: 2

Prediction models for COVID-19 disease outcomes
Cynthia Y. Tang, Cheng Gao, Kritika Prasai, et al.
Emerging Microbes & Infections (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2

Identification and Biophysical Characterization of Epitope Atlas of Porcine Reproductive and Respiratory Syndrome Virus
Supantha Dey, Jennifer Bruner, Maria Brown, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3348-3357
Open Access | Times Cited: 2

Learning from pre-pandemic data to forecast viral escape
Nicole N. Thadani, Sarah F. Gurev, Pascal Notin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10

Mechanistic study of the transmission pattern of the SARS‐CoV‐2 omicron variant
Ke An, Xianzhi Yang, Mengqi Luo, et al.
Proteins Structure Function and Bioinformatics (2024) Vol. 92, Iss. 6, pp. 705-719
Open Access | Times Cited: 1

Mutation prediction in the SARS-CoV-2 genome using attention-based neural machine translation
Darrak Moin Quddusi, Sandesh Athni Hiremath, Naim Bajçinca
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 5996-6018
Open Access | Times Cited: 1

Machine Learning Early Detection of SARS‐CoV‐2 High‐Risk Variants
Lun Li, Cuiping Li, Na Li, et al.
Advanced Science (2024)
Open Access | Times Cited: 1

Mapping Data to Deep Understanding: Making the Most of the Deluge of SARS-CoV-2 Genome Sequences
Bahrad A. Sokhansanj, Gail Rosen
mSystems (2022) Vol. 7, Iss. 2
Open Access | Times Cited: 8

Interpretable and Predictive Deep Neural Network Modeling of the SARS-CoV-2 Spike Protein Sequence to Predict COVID-19 Disease Severity
Bahrad A. Sokhansanj, Zhengqiao Zhao, Gail Rosen
Biology (2022) Vol. 11, Iss. 12, pp. 1786-1786
Open Access | Times Cited: 7

Contrasting Sequence with Structure: Pre-training Graph Representations with PLMs
Louis Robinson, Timothy Atkinson, Liviu Copoiu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections
Gabriel Innocenti, Maureen Obara, Bibiana Costa, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders
Simone Rancati, Giovanna Nicora, Mattia Prosperi, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access

Frequency of SARS-CoV-2 variants identified by real-time PCR in the AUNA healthcare network, Peru
Tamin Ortiz-Gómez, Andrea C. Gómez, Brigitte Chuima, et al.
Frontiers in Public Health (2024) Vol. 11
Open Access

Evaluation of Mutual Information and Feature Selection for SARS-CoV-2 Respiratory Infection
Sekar Kidambi Raju, Seethalakshmi Ramaswamy, Marwa M. Eid, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 880-880
Open Access | Times Cited: 1

Page 1 - Next Page

Scroll to top