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:

Modeling identifies variability in SARS-CoV-2 uptake and eclipse phase by infected cells as principal drivers of extreme variability in nasal viral load in the 48 h post infection
Jason Pearson, Timothy Wessler, Alex Chen, et al.
Journal of Theoretical Biology (2023) Vol. 565, pp. 111470-111470
Open Access | Times Cited: 7

Showing 7 citing articles:

SARS-CoV-2 variant of concern fitness and adaptation in primary human airway epithelia
Rita M. Meganck, Caitlin E. Edwards, Michael L. Mallory, et al.
Cell Reports (2024) Vol. 43, Iss. 4, pp. 114076-114076
Open Access | Times Cited: 3

The power of weak, transient interactions across biology: A paradigm of emergent behavior
Paula A. Vasquez, Ben Walker, Kerry Bloom, et al.
Physica D Nonlinear Phenomena (2023) Vol. 454, pp. 133866-133866
Open Access | Times Cited: 5

Within-host evolution of SARS-CoV-2: how often are de novo mutations transmitted from symptomatic infections?
Chapin S. Korosec, Lindi M. Wahl, Jane M. Heffernan
Virus Evolution (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1

Allometric comparison of viral dynamics in the nasal cavity-nasopharyngeal mucus layer of human and rhesus monkey by CFD-HCD approach
Hanyu Li, Kazuki Kuga, Kazuhide Ito
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108354-108354
Closed Access

Within-host evolution of SARS-CoV-2: how often arede novomutations transmitted?
Chapin S. Korosec, Lindi M. Wahl, Jane M. Heffernan
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data
Leyi Zhang, Han Cao, Karen Medlin, et al.
Viruses (2023) Vol. 16, Iss. 1, pp. 69-69
Open Access

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