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Cited by 1,066

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Adipose Tissue

Open access
Scherer, Philipp E.·2006·Diabetes

Abstract

Adipose tissue, when carried around in excessive amounts, predisposes to a large number of diseases. Epidemiological data show that the prevalence of obesity has significantly increased over the past 20 years and continues to do so at an alarming rate. Here, some molecular aspects of the key constituent of adipose tissue, the adipocyte, are reviewed. While the adipocyte has been studied for many years and remarkable insights have been gained about some processes, many areas of the physiology of the fat cell remain unexplored. Our understanding of how cellular events in the adipocyte affect the local environment through paracrine interactions and how systemic effects are achieved through endocrine interactions is rudimentary. While storage and release of lipids are major functions of adipocytes, the adipocyte also uses specific lipid molecules for intracellular signaling and uses a host of protein factors to communicate with essentially every organ system in the body. The intensity and complexity of these signals are highly regulated, differ in each fat pad, and are dramatically affected by various disease states.

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Crossref · 10.2337/db06-0263

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Citations

Cites

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Metadata

Authors
Scherer, P. E.
Venue
Diabetes
Published
2006-06-01
Volume
55
Issue
6
Pages
1537-1545
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W1988109900
Cited by
1,066
References
10
FWCI
36.52
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Adipose Tissue. https://app.cochat.ai/papers/10.2337/db06-0263
The paper
Scherer, P. E. (2006). Adipose Tissue. Diabetes. https://doi.org/10.2337/db06-0263

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.