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Cited by 890

The DOI matches its Crossref record; 156 of the 156 references it cites were found in a registry or an index.

Human Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases

Open access
Kapellos, Theodore S., Bonaguro, Lorenzo, Gemünd, Ioanna, Reusch, Nico, Saglam, Adem, Hinkley, Emily R., Schultze, Joachim L.·2019·Frontiers in Immunology

Abstract

). Each of these subsets is distinguished from each other by the expression of distinct surface markers and by their functions in homeostasis and disease. In this review, we discuss the most up-to-date phenotypic classification of human monocytes that has been greatly aided by the application of novel single-cell transcriptomic and mass cytometry technologies. Furthermore, we shed light on the role of these plastic immune cells in already recognized and emerging human chronic diseases, such as obesity, atherosclerosis, chronic obstructive pulmonary disease, lung fibrosis, lung cancer, and Alzheimer's disease. Our aim is to provide an insight into the contribution of human monocytes to the progression of these diseases and highlight their candidacy as potential therapeutic cell targets.

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Metadata

Authors
Kapellos, T. S., Bonaguro, L., Gemünd, I., Reusch, N., Saglam, A., Hinkley, E. R., & Schultze, J. L.
Venue
Frontiers in Immunology
Published
2019-08-30
Volume
10
Pages
2035-2035
ISSN
1664-3224 (ISSN-L)
OpenAlex
W2967035454
Cited by
890
References
156
FWCI
27.00
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Human Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases. https://app.cochat.ai/papers/10.3389/fimmu.2019.02035
The paper
Kapellos, T. S., Bonaguro, L., Gemünd, I., Reusch, N., Saglam, A., Hinkley, E. R., & Schultze, J. L. (2019). Human Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2019.02035

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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.