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Cited by 375

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Overview of Animal Models of Obesity

Open access
Lutz, Thomas A., Woods, Stephen C.·2012·Current Protocols in Pharmacology

Abstract

The focus of this overview is on the animal models of obesity most commonly utilized in research. The models include monogenic models in the leptin pathway, polygenic diet‐dependent models, and, in particular for their historical perspective, surgical and chemical models of obesity. However, there are far too many models to consider all of them comprehensively, especially those caused by selective molecular genetic approaches modifying one or more genes in specific populations of cells. Further, the generation and use of inducible transgenic animals (induced knock‐out or knock‐in) is not covered, even though they often carry significant advantages compared to traditional transgenic animals, e.g., influences of the genetic modification during the development of the animals can be minimized. The number of these animal models is simply too large to be covered in this unit. Curr. Protoc. Pharmacol. 58:5.61.1‐5.61.18. © 2012 by John Wiley & Sons, Inc.

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Metadata

Authors
Lutz, T. A., & Woods, S. C.
Venue
Current Protocols in Pharmacology
Publisher
Wiley
Published
2012-09
Volume
58
Issue
1
Pages
Unit5.61-Unit5.61
ISSN
  • 1934-8282 (ISSN-L)
  • 1934-8290
OpenAlex
W1542645650
Cited by
375
References
7
FWCI
4.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Overview of Animal Models of Obesity. https://app.cochat.ai/papers/10.1002/0471141755.ph0561s58
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Lutz, T. A., & Woods, S. C. (2012). Overview of Animal Models of Obesity. Current Protocols in Pharmacology. https://doi.org/10.1002/0471141755.ph0561s58

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.