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Cited by 368

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

Nutraceuticals and Functional Foods: The Foods for the Future World

Gul, Khalid, Singh, A. K., Jabeen, Rifat·2016·Critical Reviews in Food Science and Nutrition
DOI 10.1080/10408398.2014.903384
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Abstract

The health and wellness of human beings is largely dictated by the consumption of nutritious foods. Various studies have linked foods as helpful in combating a number of degenerative diseases; as such, a lot of research on functional attributes linked directly to the health benefits of various plant and animal foods have been witnessed in recent years. Although vast number of naturally occurring health-enhancing substances are of plant origin, there are a number of physiologically active components in animal products as well that deserve attention for their potential role in optimal health. Consumption of biologically active ingredients in fruits and vegetables has been linked to help combat diseases such as cancer, cardiovascular diseases, obesity, and gastrointestinal tract disorders. Lot of research is required to substantiate the potential health benefits of those foods for which the diet-health relationships are not sufficiently validated, and create a strong scientific knowledge base for proper application of naturally present foods in combating various diseases and disorders.

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Metadata

Authors
Gul, K., Singh, A. K., & Jabeen, R.
Venue
Critical Reviews in Food Science and Nutrition
Publisher
Informa UK Limited
Published
2015-01-28
Volume
56
Issue
16
Pages
2617-2627
ISSN
  • 1040-8398 (ISSN-L)
  • 1549-7852
DOI
10.1080/10408398.2014.903384
OpenAlex
W2104524142
Cited by
368
References
9
FWCI
12.03
Type
journal article
Language
en
Open access
closed

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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.