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For: Baral S, Antia R, Dixit NM. A dynamical motif comprising the interactions between antigens and CD8 T cells may underlie the outcomes of viral infections. Proc Natl Acad Sci U S A 2019;116:17393-8. [PMID: 31413198 DOI: 10.1073/pnas.1902178116] [Cited by in Crossref: 18] [Cited by in F6Publishing: 11] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Desikan R, Antia R, Dixit NM. Physical 'strength' of the multi-protein chain connecting immune cells: Does the weakest link limit antibody affinity maturation?: The weakest link in the multi-protein chain facilitating antigen acquisition by B cells in germinal centres limits antibody affinity maturation. Bioessays 2021;43:e2000159. [PMID: 33448042 DOI: 10.1002/bies.202000159] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Desikan R, Raja R, Dixit NM. Early exposure to broadly neutralizing antibodies may trigger a dynamical switch from progressive disease to lasting control of SHIV infection. PLoS Comput Biol 2020;16:e1008064. [PMID: 32817614 DOI: 10.1371/journal.pcbi.1008064] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
3 Voutouri C, Nikmaneshi MR, Hardin CC, Patel AB, Verma A, Khandekar MJ, Dutta S, Stylianopoulos T, Munn LL, Jain RK. In silico dynamics of COVID-19 phenotypes for optimizing clinical management. Proc Natl Acad Sci U S A 2021;118:e2021642118. [PMID: 33402434 DOI: 10.1073/pnas.2021642118] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
4 Saha A, Dixit NM. Pre-existing resistance in the latent reservoir can compromise VRC01 therapy during chronic HIV-1 infection. PLoS Comput Biol 2020;16:e1008434. [PMID: 33253162 DOI: 10.1371/journal.pcbi.1008434] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
5 Kim KS, Ejima K, Iwanami S, Fujita Y, Ohashi H, Koizumi Y, Asai Y, Nakaoka S, Watashi K, Aihara K, Thompson RN, Ke R, Perelson AS, Iwami S. A quantitative model used to compare within-host SARS-CoV-2, MERS-CoV, and SARS-CoV dynamics provides insights into the pathogenesis and treatment of SARS-CoV-2. PLoS Biol 2021;19:e3001128. [PMID: 33750978 DOI: 10.1371/journal.pbio.3001128] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 8.0] [Reference Citation Analysis]
6 Mortezaee K, Majidpoor J. CD8+ T Cells in SARS-CoV-2 Induced Disease and Cancer—Clinical Perspectives. Front Immunol 2022;13:864298. [DOI: 10.3389/fimmu.2022.864298] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 Myers MA, Smith AP, Lane LC, Moquin DJ, Aogo R, Woolard S, Thomas P, Vogel P, Smith AM. Dynamically linking influenza virus infection kinetics, lung injury, inflammation, and disease severity. Elife 2021;10:e68864. [PMID: 34282728 DOI: 10.7554/eLife.68864] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Chimbola OM, Lungu EM, Szomolay B. Effect of innate and adaptive immune mechanisms on treatment regimens in an AIDS-related Kaposi's Sarcoma model. J Biol Dyn 2021;15:213-49. [PMID: 33843468 DOI: 10.1080/17513758.2021.1912420] [Reference Citation Analysis]
9 Ciupe SM, Vaidya NK, Forde JE. Early events in hepatitis B infection: the role of inoculum dose. Proc Biol Sci 2021;288:20202715. [PMID: 33563115 DOI: 10.1098/rspb.2020.2715] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Mochan E, Sego TJ, Ermentrout B. Age-Related Changes to the Immune System Exacerbate the Inflammatory Response to Pandemic H1N1 Infection. Bull Math Biol 2022;84:88. [PMID: 35829841 DOI: 10.1007/s11538-022-01045-z] [Reference Citation Analysis]
11 Perelson AS, Ke R. Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics. Clin Pharmacol Ther 2021;109:829-40. [PMID: 33410134 DOI: 10.1002/cpt.2160] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
12 Shinbrot T. Immune–Pathogen Dynamics. Int J Bifurcation Chaos 2022;32:2230019. [DOI: 10.1142/s0218127422300191] [Reference Citation Analysis]
13 Jenner AL, Aogo RA, Alfonso S, Crowe V, Deng X, Smith AP, Morel PA, Davis CL, Smith AM, Craig M. COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes. PLoS Pathog 2021;17:e1009753. [PMID: 34260666 DOI: 10.1371/journal.ppat.1009753] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
14 Sahoo S, Jhunjhunwala S, Jolly MK. The Good, The Bad and The Ugly: A Mathematical Model Investigates the Differing Outcomes Among CoVID-19 Patients. J Indian Inst Sci 2020;:1-9. [PMID: 33041543 DOI: 10.1007/s41745-020-00205-1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]