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Cited by 969

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Lycopene: Chemistry, Biology, and Implications for Human Health and Disease

Open access
Clinton, Steven K.·2009·Nutrition Reviews

Abstract

A diet rich in carotenoid-containing foods is associated with a number of health benefits. Lycopene provides the familiar red color to tomato products and is one of the major carotenoids in the diet of North Americans and Europeans. Interest in lycopene is growing rapidly following the recent publication of epidemiologic studies implicating lycopene in the prevention of cardiovascular disease and cancers of the prostate or gastrointestinal tract. Lycopene has unique structural and chemical features that may contribute to specific biological properties. Data concerning lycopene bioavailability, tissue distribution, metabolism, excretion, and biological actions in experimental animals and humans are beginning to accumulate although much additional research is necessary. This review will summarize our knowledge in these areas as well as the associations between lycopene consumption and human health.

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Crossref · 10.1111/j.1753-4887.1998.tb01691.x

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Metadata

Authors
Clinton, S. K.
Venue
Nutrition Reviews
Published
2009-04-27
Volume
56
Issue
2
Pages
35-51
ISSN
  • 0029-6643 (ISSN-L)
  • 1753-4887
OpenAlex
W2142054229
Cited by
969
References
9
FWCI
35.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Lycopene: Chemistry, Biology, and Implications for Human Health and Disease. https://app.cochat.ai/papers/10.1111/j.1753-4887.1998.tb01691.x
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Clinton, S. K. (2009). Lycopene: Chemistry, Biology, and Implications for Human Health and Disease. Nutrition Reviews. https://doi.org/10.1111/j.1753-4887.1998.tb01691.x

Data sources

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.