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Cited by 530

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

JAK inhibitors in dermatology: The promise of a new drug class

Open access
Damsky, William, King, Brett A.·2017·Journal of the American Academy of Dermatology

Abstract

&NA; New molecularly targeted therapeutics are changing dermatologic therapy. Janus kinase–signal transducer and activator of transcription (JAK‐STAT) is an intracellular signaling pathway upon which many different proinflammatory signaling pathways converge. Numerous inflammatory dermatoses are driven by soluble inflammatory mediators, which rely on JAK‐STAT signaling, and inhibition of this pathway using JAK inhibitors might be a useful therapeutic strategy for these diseases. Growing evidence suggests that JAK inhibitors are efficacious in atopic dermatitis, alopecia areata, psoriasis, and vitiligo. Additional evidence suggests that JAK inhibition might be broadly useful in dermatology, with early reports of efficacy in several other conditions. JAK inhibitors can be administered orally or used topically and represent a promising new class of medications. The use of JAK inhibitors in dermatology is reviewed here.

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Crossref · 10.1016/j.jaad.2016.12.005

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Metadata

Authors
Damsky, W., & King, B. A.
Venue
Journal of the American Academy of Dermatology
Publisher
Elsevier BV
Published
2017-04
Volume
76
Issue
4
Pages
736-744
ISSN
0190-9622 (ISSN-L)
OpenAlex
W2580870032
Cited by
530
References
93
FWCI
18.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: JAK inhibitors in dermatology: The promise of a new drug class. https://app.cochat.ai/papers/10.1016/j.jaad.2016.12.005
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Damsky, W., & King, B. A. (2017). JAK inhibitors in dermatology: The promise of a new drug class. Journal of the American Academy of Dermatology. https://doi.org/10.1016/j.jaad.2016.12.005

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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.