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OpenAlex Citation Counts

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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:

Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolution
Tyler N. Starr, Allison J. Greaney, William W. Hannon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection
Yunlong Cao, Ayijiang Yisimayi, Fanchong Jian, et al.
Nature (2022) Vol. 608, Iss. 7923, pp. 593-602
Open Access | Times Cited: 1195
Imprinted antibody responses against SARS-CoV-2 Omicron sublineages
Young‐Jun Park, Dora Pinto, Alexandra C. Walls, et al.
Science (2022) Vol. 378, Iss. 6620, pp. 619-627
Open Access | Times Cited: 193
Compensatory epistasis maintains ACE2 affinity in SARS-CoV-2 Omicron BA.1
Alief Moulana, Thomas Dupic, Angela M. Phillips, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 120
Selection Analysis Identifies Clusters of Unusual Mutational Changes in Omicron Lineage BA.1 That Likely Impact Spike Function
Darren P. Martin, Spyros Lytras, Alexander G. Lucaci, et al.
Molecular Biology and Evolution (2022) Vol. 39, Iss. 4
Open Access | Times Cited: 109
BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection
Yunlong Cao, Ayijiang Yisimayi, Fanchong Jian, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 78
An early warning system for emerging SARS-CoV-2 variants
Lorenzo Subissi, Anne von Gottberg, Lipi Thukral, et al.
Nature Medicine (2022) Vol. 28, Iss. 6, pp. 1110-1115
Open Access | Times Cited: 69
Imprinted antibody responses against SARS-CoV-2 Omicron sublineages
Young‐Jun Park, Dora Pinto, Alexandra C. Walls, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 37
Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4, and BA.5
Qian Wang, Yicheng Guo, Sho Iketani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 32
Deep mutagenesis scanning using whole trimeric SARS-CoV-2 spike highlights the importance of NTD-RBD interactions in determining spike phenotype
Ruthiran Kugathasan, Ksenia Sukhova, Maya Moshe, et al.
PLoS Pathogens (2023) Vol. 19, Iss. 8, pp. e1011545-e1011545
Open Access | Times Cited: 11
SARS-CoV-2 receptor-binding domain deep mutational AlphaFold2 structures
Oz Kilim, Anikó Mentes, Balázs Pál, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10
High fusion and cytopathy of SARS-CoV-2 variant B.1.640.1
William Bolland, Vincent Michel, Delphine Planas, et al.
Journal of Virology (2023) Vol. 98, Iss. 1
Open Access | Times Cited: 8
SARS-CoV-2 Omicron BA.2.12.1, BA.4, and BA.5 subvariants evolved to extend antibody evasion
David D. Ho, Qian Wang, Yicheng Guo, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 12
BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron BA.1 infection
Xiaoliang Sunney Xie, Yunlong Cao, Ayijiang Yisimayi, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 11
Complexity of Viral Epitope Surfaces as Evasive Targets for Vaccines and Therapeutic Antibodies
Nathaniel L. Miller, Rahul Raman, Thomas A. Clark, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 10
Antibody escape and cryptic cross-domain stabilization in the SARS-CoV-2 Omicron spike protein
Kamyab Javanmardi, Thomas H. Segall-Shapiro, Chia‐Wei Chou, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 9
Emerging Mutations of SARS-COV-2 in Kenya
Elius Mbogori, Kelvin Thiong’o, Harrison Yunyang Deng, et al.
(2024)
Open Access | Times Cited: 1
The effect of mutations on binding interactions between the SARS-CoV-2 receptor binding domain and neutralizing antibodies B38 and CB6
Jonathan E. Barnes, Peik K. Lund-Andersen, Jagdish Suresh Patel, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Compensatory epistasis maintains ACE2 affinity in SARS-CoV-2 Omicron BA.1
Alief Moulana, Thomas Dupic, Angela M. Phillips, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6
Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data
Matthew D. Smith, Marshall Case, Emily K. Makowski, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
The SARS-CoV-2 Delta variant induces an antibody response largely focused on class 1 and 2 antibody epitopes
Allison J. Greaney, Rachel Eguia, Tyler N. Starr, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Inferring selection effects in SARS-CoV-2 with Bayesian Viral Allele Selection
Martin Jankowiak, Fritz Obermeyer, Jacob E. Lemieux
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
The Spike Protein of SARS-coV2 19B (S) Clade Mirrors Critical Features of Viral Adaptation and Coevolution
Bidour K. Hussein, Omnia M. Ibrahium, Marwa F. Alamin, et al.
Microorganisms (2022) Vol. 10, Iss. 10, pp. 2017-2017
Open Access | Times Cited: 3
Predicting the antigenic evolution of SARS-COV-2 with deep learning
Wenkai Han, Ningning Chen, Xinzhou Xu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Epistatic Variations in the Omicron Receptor Binding Domain Can Enhance Host Recognition: An In Silico Assessment and Prediction
Xu-Dong Hou, Jiali Gao, Yingjie Wang
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 38, pp. 8808-8815
Closed Access | Times Cited: 2
A CNN model for predicting binding affinity changes between SARS-CoV-2 spike RBD variants and ACE2 homologues
Chen Chen, Veda Sheersh Boorla, Ratul Chowdhury, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
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