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Cited by in F6Publishing
For: Koelle K, Farrell AP, Brooke CB, Ke R. Within-host infectious disease models accommodating cellular coinfection, with an application to influenza. Virus Evol 2019;5:vez018. [PMID: 31304043 DOI: 10.1093/ve/vez018] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Sharov V, Rezelj VV, Galatenko VV, Titievsky A, Panov J, Chumakov K, Andino R, Vignuzzi M, Brodsky L. Intra- and Inter-cellular Modeling of Dynamic Interaction between Zika Virus and Its Naturally Occurring Defective Viral Genomes. J Virol 2021;95:e0097721. [PMID: 34468175 DOI: 10.1128/JVI.00977-21] [Reference Citation Analysis]
2 Getz M, Wang Y, An G, Asthana M, Becker A, Cockrell C, Collier N, Craig M, Davis CL, Faeder JR, Versypt ANF, Mapder T, Gianlupi JF, Glazier JA, Hamis S, Heiland R, Hillen T, Hou D, Islam MA, Jenner AL, Kurtoglu F, Larkin CI, Liu B, Macfarlane F, Maygrundter P, Morel PA, Narayanan A, Ozik J, Pienaar E, Rangamani P, Saglam AS, Shoemaker JE, Smith AM, Weaver JJA, Macklin P. Iterative community-driven development of a SARS-CoV-2 tissue simulator. bioRxiv 2021:2020. [PMID: 32511322 DOI: 10.1101/2020.04.02.019075] [Cited by in Crossref: 13] [Cited by in F6Publishing: 8] [Article Influence: 13.0] [Reference Citation Analysis]
3 Vafadar S, Shahdoust M, Kalirad A, Zakeri P, Sadeghi M. Competitive exclusion during co-infection as a strategy to prevent the spread of a virus: A computational perspective. PLoS One 2021;16:e0247200. [PMID: 33626106 DOI: 10.1371/journal.pone.0247200] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Dogra P, Ruiz-Ramírez J, Sinha K, Butner JD, Peláez MJ, Rawat M, Yellepeddi VK, Pasqualini R, Arap W, Sostman HD, Cristini V, Wang Z. Innate Immunity Plays a Key Role in Controlling Viral Load in COVID-19: Mechanistic Insights from a Whole-Body Infection Dynamics Model. ACS Pharmacol Transl Sci 2021;4:248-65. [PMID: 33615177 DOI: 10.1021/acsptsci.0c00183] [Cited by in Crossref: 9] [Cited by in F6Publishing: 16] [Article Influence: 4.5] [Reference Citation Analysis]
5 Sego TJ, Aponte-Serrano JO, Ferrari Gianlupi J, Heaps SR, Breithaupt K, Brusch L, Crawshaw J, Osborne JM, Quardokus EM, Plemper RK, Glazier JA. A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness. PLoS Comput Biol 2020;16:e1008451. [PMID: 33347439 DOI: 10.1371/journal.pcbi.1008451] [Cited by in Crossref: 11] [Cited by in F6Publishing: 15] [Article Influence: 5.5] [Reference Citation Analysis]
6 Dogra P, Ruiz-Ramírez J, Sinha K, Butner JD, Peláez MJ, Rawat M, Yellepeddi VK, Pasqualini R, Arap W, Sostman HD, Cristini V, Wang Z. Innate immunity plays a key role in controlling viral load in COVID-19: mechanistic insights from a whole-body infection dynamics model. medRxiv 2020:2020. [PMID: 33173913 DOI: 10.1101/2020.10.30.20215335] [Cited by in Crossref: 5] [Article Influence: 2.5] [Reference Citation Analysis]
7 Castro M, de Boer RJ. Testing structural identifiability by a simple scaling method. PLoS Comput Biol 2020;16:e1008248. [PMID: 33141821 DOI: 10.1371/journal.pcbi.1008248] [Cited by in Crossref: 3] [Cited by in F6Publishing: 9] [Article Influence: 1.5] [Reference Citation Analysis]
8 Martin BE, Harris JD, Sun J, Koelle K, Brooke CB. Cellular co-infection can modulate the efficiency of influenza A virus production and shape the interferon response. PLoS Pathog 2020;16:e1008974. [PMID: 33064776 DOI: 10.1371/journal.ppat.1008974] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
9 Yan AWC, Zhou J, Beauchemin CAA, Russell CA, Barclay WS, Riley S. Quantifying mechanistic traits of influenza viral dynamics using in vitro data. Epidemics 2020;33:100406. [PMID: 33096342 DOI: 10.1016/j.epidem.2020.100406] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Sego TJ, Aponte-Serrano JO, Gianlupi JF, Heaps SR, Breithaupt K, Brusch L, Crawshaw J, Osborne JM, Quardokus EM, Plemper RK, Glazier JA. A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness: A multiscale model of viral infection in epithelial tissues. bioRxiv 2020:2020. [PMID: 32511367 DOI: 10.1101/2020.04.27.064139] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
11 Jenner AL, Aogo RA, Davis CL, Smith AM, Craig M. Leveraging Computational Modeling to Understand Infectious Diseases. Curr Pathobiol Rep 2020;:1-13. [PMID: 32989410 DOI: 10.1007/s40139-020-00213-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
12 Carruthers J, Lythe G, López-García M, Gillard J, Laws TR, Lukaszewski R, Molina-París C. Stochastic dynamics of Francisella tularensis infection and replication. PLoS Comput Biol 2020;16:e1007752. [PMID: 32479491 DOI: 10.1371/journal.pcbi.1007752] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]