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Critical Reviews™ in Immunology

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ISSN Druckformat: 1040-8401

ISSN Online: 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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Regulation of Th17 Maturation by Interleukin 4

Volumen 33, Ausgabe 5, 2013, pp. 379-387
DOI: 10.1615/CritRevImmunol.2013007096
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ABSTRAKT

Regulation of immune responses and control of autoimmunity depend on layers of checkpoints, cell−cell interactions, and soluble mediators, both during lymphocyte development and in the course of immune responses. With the definition and study of multiple distinct T-cell subsets, it is now apparent that, while specialized regulatory T cells (Tregs) have essential roles in immune homeostasis, important regulatory interactions also occur between the known effector Th subsets such as Тh1, Th2 and Th17. In this review, we discuss the regulatory effects of the Th2 cell cytokine interleukin 4 (IL-4) on Тh17 cell function, and we highlight emerging data, which indicate the importance of this interaction in both animal model systems and human disease.

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