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Cited by 654

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects

Open access
Tang, Si-Min, Deng, Xue-Ting, Zhou, Jian, Li, Quan-Peng, Ge, Xian-Xiu, Miao, Lin·2020·Biomedicine & Pharmacotherapy

Abstract

Quercetin is a kind of flavonoid compounds that comes from nature and is widely existed in the daily diet. Previous studies have found that quercetin has many effects such as anti-inflammatory, anti-oxidation and anti-cancer. Both in vivo and in vitro experiments have demonstrated that quercetin can exert anti-tumor effects by altering cell cycle progression, inhibiting cell proliferation, promoting apoptosis, inhibiting angiogenesis and metastasis progression, and affecting autophagy. This review summarizes the evidence for the pharmacological potential and inhibition of quercetin on cancers, supporting the viewpoint that quercetin should be adequately considered as a therapeutic agent against various cancers.

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Crossref · 10.1016/j.biopha.2019.109604

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Metadata

Authors
Tang, S.-M., Deng, X.-T., Zhou, J., Li, Q.-P., Ge, X.-X., & Miao, L.
Venue
Biomedicine & Pharmacotherapy
Publisher
Elsevier BV
Published
2020-01
Volume
121
Pages
109604
ISSN
0753-3322 (ISSN-L)
OpenAlex
W2983363499
Cited by
654
References
5
FWCI
31.46
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects. https://app.cochat.ai/papers/10.1016/j.biopha.2019.109604
The paper
Tang, S.-M., Deng, X.-T., Zhou, J., Li, Q.-P., Ge, X.-X., & Miao, L. (2020). Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects. Biomedicine & Pharmacotherapy. https://doi.org/10.1016/j.biopha.2019.109604

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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.