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Critical Reviews™ in Immunology

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ISSN Imprimer: 1040-8401

ISSN En ligne: 2162-6472

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00079 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.24 SJR: 0.429 SNIP: 0.287 CiteScore™:: 2.7 H-Index: 81

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Novel Coronavirus SARS-CoV-2 Target and Disable Natural Killer Cells: Core Immune Effectors for Fighting the Disease

Volume 40, Numéro 2, 2020, pp. 167-171
DOI: 10.1615/CritRevImmunol.2020034441
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RÉSUMÉ

Coronavirus disease 2019 (COVID-19) poses a great public health challenge worldwide. While studies on the effects of SARS-CoV-2 on immune cell function continue to progress, we know very little about the significance of depletion of key immune effectors by the virus in the mortality and morbidity of the disease. This commentary reviews what is known thus far about the effects of the virus on natural killer (NK) cells, the major cell type responsible for the destruction and removal of virally infected cells. It also highlights the necessity of comprehensive studies of NK cells in COVID-19 patients and animal models to better understand the role and significance of reported NK depletion and functional inactivation in disease morbidity and mortality, in the hopes of designing effective therapeutic interventions for the disease.

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CITÉ PAR
  1. Minadakis George, Muñoz-Pomer Fuentes Alfonso, Tsouloupas George, Papatheodorou Irene, Spyrou George M., PathExNET: A tool for extracting pathway expression networks from gene expression statistics, Computational and Structural Biotechnology Journal, 19, 2021. Crossref

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