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:

Coordinated evolution at amino acid sites of SARS-CoV-2 spike
Alexey D. Neverov, Gennady G. Fedonin, Anfisa V. Popova, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 18

Showing 18 citing articles:

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

AlphaFold2 Predictions of Conformational Ensembles and Atomistic Simulations of the SARS-CoV-2 Spike XBB Lineages Reveal Epistatic Couplings between Convergent Mutational Hotspots that Control ACE2 Affinity
Nishank Raisinghani, Mohammed Alshahrani, Grace Gupta, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 19, pp. 4696-4715
Closed Access | Times Cited: 6

Exploring Conformational Landscapes and Binding Mechanisms of Convergent Evolution for the SARS-CoV-2 Spike Omicron Variant Complexes with the ACE2 Receptor Using AlphaFold2-Based Structural Ensembles and Molecular Dynamics Simulations
Nishank Raisinghani, Mohammed Alshahrani, Grace Gupta, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 25, pp. 17720-17744
Closed Access | Times Cited: 5

Early detection of emerging viral variants through analysis of community structure of coordinated substitution networks
Fatemeh Mohebbi, Alex Zelikovsky, Serghei Mangul, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4

Investigating and forecasting infectious disease dynamics using epidemiological and molecular surveillance data
Gerardo Chowell, Pavel Skums
Physics of Life Reviews (2024) Vol. 51, pp. 294-327
Closed Access | Times Cited: 1

Community structure and temporal dynamics of SARS-CoV-2 epistatic network allow for early detection of emerging variants with altered phenotypes
Fatemeh Mohebbi, Alex Zelikovsky, Serghei Mangul, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

Community Structure and Temporal Dynamics of Viral Epistatic Networks Allow for Early Detection of Emerging Variants with Altered Phenotypes
Fatemeh Mohebbi, Alex Zelikovsky, Serghei Mangul, et al.
Lecture notes in computer science (2024), pp. 356-359
Closed Access

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

The importance of epistasis in the evolution of viral pathogens
Swathi Nachiar Manivannan, Carolina Díaz Arenas, Nathan D. Grubaugh, et al.
(2024)
Open Access

Topological data analysis identifies emerging adaptive mutations in SARS-CoV-2
Michael Bleher, Lukas Hahn, Maximilian Neumann, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1

Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections
Gabriel Innocenti, Marco Galardini
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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