The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Biology of Obesity: Lessons from Animal Models of Obesity
Open accessAbstract
Obesity is an epidemic problem in the world and is associated with several health problems, including diabetes, cardiovascular disease, respiratory failure, muscle weakness, and cancer. The precise molecular mechanisms by which obesity induces these health problems are not yet clear. To better understand the pathomechanisms of human disease, good animal models are essential. In this paper, we will analyze animal models of obesity and their use in the research of obesity‐associated human health conditions and diseases such as diabetes, cancer, and obstructive sleep apnea syndrome.
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Cites
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Cited by
Contribution of Adipose Tissue Inflammation to the Development of Type 2 Diabetes Mellitus
Burhans, M. S., Hagman, D. K., Kuzma, J. N., Schmidt, K. A., & Kratz, M. (2018) · Comprehensive Physiology · doi:10.1002/cphy.c170040 · Cited by 373
Obesity and Cancer: An Angiogenic and Inflammatory Link
Fukumura, D., Incio, J., Shankaraiah, R. C., & Jain, R. K. (2016) · Microcirculation · doi:10.1111/micc.12270 · Cited by 69
Cardiac β‐adrenergic responsiveness of obese Zucker rats: The role of AMPK
Bussey, C. T., Thaung, H. P. A., Hughes, G., Bahn, A., & Lamberts, R. R. (2018) · Experimental Physiology · doi:10.1113/ep087054 · Cited by 10
Metadata
- Authors
- Kanasaki, K., & Koya, D.
- Venue
- BioMed Research International
- Publisher
- Wiley
- Published
- 2011-01
- Volume
- 2011
- Issue
- 1
- Pages
- 197636-197636
- ISSN
- 1110-7243 (ISSN-L)
- 2314-6133
- 2314-6141
- OpenAlex
- W2058344299
- Cited by
- 174
- References
- 15
- FWCI
- 5.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
