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Cited by 525

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Emerging Targets in Type 2 Diabetes and Diabetic Complications

Open access
Demir, Sevgican, Nawroth, Peter P., Herzig, Stephan, Ekim Üstünel, Bilgen·2021·Advanced Science

Abstract

Type 2 diabetes is a metabolic, chronic disorder characterized by insulin resistance and elevated blood glucose levels. Although a large drug portfolio exists to keep the blood glucose levels under control, these medications are not without side effects. More importantly, once diagnosed diabetes is rarely reversible. Dysfunctions in the kidney, retina, cardiovascular system, neurons, and liver represent the common complications of diabetes, which again lack effective therapies that can reverse organ injury. Overall, the molecular mechanisms of how type 2 diabetes develops and leads to irreparable organ damage remain elusive. This review particularly focuses on novel targets that may play role in pathogenesis of type 2 diabetes. Further research on these targets may eventually pave the way to novel therapies for the treatment—or even the prevention—of type 2 diabetes along with its complications.

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Registry

Crossref · 10.1002/advs.202100275

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Metadata

Authors
Demir, S., Nawroth, P. P., Herzig, S., & Ekim Üstünel, B.
Venue
Advanced Science
Publisher
Wiley
Published
2021-07-28
Volume
8
Issue
18
Pages
e2100275-e2100275
ISSN
2198-3844 (ISSN-L)
OpenAlex
W3183548861
Cited by
525
References
44
FWCI
45.80
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Emerging Targets in Type 2 Diabetes and Diabetic Complications. https://app.cochat.ai/papers/10.1002/advs.202100275
The paper
Demir, S., Nawroth, P. P., Herzig, S., & Ekim Üstünel, B. (2021). Emerging Targets in Type 2 Diabetes and Diabetic Complications. Advanced Science. https://doi.org/10.1002/advs.202100275

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.