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Cited by 208

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Extracellular Matrix Modulates Angiogenesis in Physiological and Pathological Conditions

Open access
Neve, Anna, Cantatore, Francesco Paolo, Maruotti, Nicola, Corrado, Addolorata, Ribatti, Domenico·2014·BioMed Research International

Abstract

Angiogenesis is a multistep process driven by a wide range of positive and negative regulatory factors. Extracellular matrix (ECM) plays a crucial role in the regulation of this process. The degradation of ECM, occurring in response to an angiogenic stimulus, leads to degradation or partial modification of matrix molecules, release of soluble factors, and exposure of cryptic sites with pro- and/or antiangiogenic activity. ECM molecules and fragments, resulting from proteolysis, can also act directly as inflammatory stimuli, and this can explain the exacerbated angiogenesis that drives and maintains several inflammatory diseases. In this review we have summarized some of the more recent literature data concerning the molecular control of ECM in angiogenesis in both physiological and pathological conditions.

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Metadata

Authors
Neve, A., Cantatore, F. P., Maruotti, N., Corrado, A., & Ribatti, D.
Venue
BioMed Research International
Published
2014
Volume
2014
Pages
1-10
ISSN
  • 1110-7243 (ISSN-L)
  • 2314-6133
  • 2314-6141
OpenAlex
W2118417553
Cited by
208
References
6
FWCI
2.07
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Extracellular Matrix Modulates Angiogenesis in Physiological and Pathological Conditions. https://app.cochat.ai/papers/10.1155/2014/756078
The paper
Neve, A., Cantatore, F. P., Maruotti, N., Corrado, A., & Ribatti, D. (2014). Extracellular Matrix Modulates Angiogenesis in Physiological and Pathological Conditions. BioMed Research International. https://doi.org/10.1155/2014/756078

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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.