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Cited by 474

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

Bioactivities of Phenolics by Focusing on Suppression of Chronic Diseases: A Review

Open access
Shahidi, Fereidoon, Yeo, JuDong·2018·International Journal of Molecular Sciences

Abstract

Phenolics, which are secondary metabolites of plants, exhibit remarkable bioactivities. In this contribution, we have focused on their protective effect against chronic diseases rather than their antioxidant activities, which have been widely discussed in the literature. A large body of epidemiological studies has proven the bioactivities of phenolics in both standard compounds and natural extracts: namely, anticancer, anti-inflammatory, and antibacterial activities as well as reducing diabetes, cardiovascular disease, and neurodegenerative disease. Phenolics also display anti-analgesic, anti-allergic, and anti-Alzheimer’s properties. Thus, this review provides crucial information for better understanding the bioactivities of phenolics in foods and fills a gap in the existing collective and overall knowledge in the field.

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Crossref · 10.3390/ijms19061573

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Metadata

Authors
Shahidi, F., & Yeo, J.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2018-05-25
Volume
19
Issue
6
Pages
1573
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2804526021
Cited by
474
References
93
FWCI
25.78
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Bioactivities of Phenolics by Focusing on Suppression of Chronic Diseases: A Review. https://app.cochat.ai/papers/10.3390/ijms19061573
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Shahidi, F., & Yeo, J. (2018). Bioactivities of Phenolics by Focusing on Suppression of Chronic Diseases: A Review. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms19061573

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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.