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Cited by 594

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Meat analogues: Health promising sustainable meat substitutes

Kumar, Pavan, Chatli, M. K., Mehta, Nitin, Singh, Parminder, Malav, O. P., Verma, Akhilesh K.·2017·Critical Reviews in Food Science and Nutrition

Abstract

There is a scarcity of protein of high biological value due to rapid increase in the world population and limited natural resources. Meat is a good source of protein of high biological value but converting the vegetable protein into animal protein is not economical. There is a trend of production of healthy and delicious meat free food for satisfaction of vegetarian and personal well beings. This resulted in increasing use of low cost vegetable protein such as textured soy protein, mushroom, wheat gluten, pulses etc as a substitute for animal-protein. These simulated meat-like products, with similar texture, flavor, color, and nutritive value can be substituted directly for meat to all sections of the society.

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Crossref · 10.1080/10408398.2014.939739

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Metadata

Authors
Kumar, P., Chatli, M. K., Mehta, N., Singh, P., Malav, O. P., & Verma, A. K.
Venue
Critical Reviews in Food Science and Nutrition
Published
2016-12-28
Volume
57
Issue
5
Pages
923-932
ISSN
  • 1040-8398 (ISSN-L)
  • 1549-7852
OpenAlex
W1998100312
Cited by
594
References
3
FWCI
6.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Meat analogues: Health promising sustainable meat substitutes. https://app.cochat.ai/papers/10.1080/10408398.2014.939739
The paper
Kumar, P., Chatli, M. K., Mehta, N., Singh, P., Malav, O. P., & Verma, A. K. (2017). Meat analogues: Health promising sustainable meat substitutes. Critical Reviews in Food Science and Nutrition. https://doi.org/10.1080/10408398.2014.939739

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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.