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Cited by 522

The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.

Neutrophil Diversity in Health and Disease

Open access
Silvestre-Roig, Carlos, Fridlender, Zvi G., Glogauer, Michael, Scapini, Patrizia·2019·Trends in Immunology

Abstract

New evidence has challenged the outdated dogma that neutrophils are a homogeneous population of short-lived cells. Although neutrophil subpopulations with distinct functions have been reported under homeostatic and pathological conditions, a full understanding of neutrophil heterogeneity and plasticity is currently lacking. We review here current knowledge of neutrophil heterogeneity and diversity, highlighting the need for deep genomic, phenotypic, and functional profiling of the identified neutrophil subpopulations to determine whether these cells truly represent bona fide novel neutrophil subsets. We suggest that progress in understanding neutrophil heterogeneity will allow the identification of clinically relevant neutrophil subpopulations that may be used in the diagnosis of specific diseases and lead to the development of new therapeutic approaches.

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Registry

Crossref · 10.1016/j.it.2019.04.012

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Metadata

Authors
Silvestre-Roig, C., Fridlender, Z. G., Glogauer, M., & Scapini, P.
Venue
Trends in Immunology
Publisher
Elsevier BV
Published
2019-07
Volume
40
Issue
7
Pages
565-583
ISSN
1471-4906 (ISSN-L)
OpenAlex
W2946833774
Cited by
522
References
130
FWCI
4.22
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Neutrophil Diversity in Health and Disease. https://app.cochat.ai/papers/10.1016/j.it.2019.04.012
The paper
Silvestre-Roig, C., Fridlender, Z. G., Glogauer, M., & Scapini, P. (2019). Neutrophil Diversity in Health and Disease. Trends in Immunology. https://doi.org/10.1016/j.it.2019.04.012

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.