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Cited by 278

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Silk-based electrospun tubular scaffolds for tissue-engineered vascular grafts

Open access
Soffer, Leah, Wang, Xianyan, Zhang, Xiaohui, Kluge, Jonathan, Dorfmann, Luis, Kaplan, David L., Leisk, Gary·2008·Journal of Biomaterials Science, Polymer Edition

Abstract

Electrospinning was used to fabricate non-woven nanofibrous tubular scaffolds from Bombyx mori silk fibroin using an all aqueous process. Cell studies and mechanical characterization tests were performed on the electrospun silk tubes to assess the viability of their usage in bioengineering small-diameter vascular grafts. Human endothelial cells and smooth muscle cells were successfully cultured on the electrospun silk. Mechanical characterization tests demonstrated burst strength sufficient to withstand arterial pressures and tensile properties comparable to native vessels. These cellular and mechanics outcomes demonstrate potential utility of these electrospun silk scaffolds for small-diameter vascular grafts.

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Crossref · 10.1163/156856208784089607

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Metadata

Authors
Soffer, L., Wang, X., Zhang, X., Kluge, J., Dorfmann, L., Kaplan, D. L., & Leisk, G.
Venue
Journal of Biomaterials Science, Polymer Edition
Published
2008-01
Volume
19
Issue
5
Pages
653-664
ISSN
  • 0920-5063 (ISSN-L)
  • 1568-5624
OpenAlex
W2037990263
Cited by
278
References
1
FWCI
7.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Silk-based electrospun tubular scaffolds for tissue-engineered vascular grafts. https://app.cochat.ai/papers/10.1163/156856208784089607
The paper
Soffer, L., Wang, X., Zhang, X., Kluge, J., Dorfmann, L., Kaplan, D. L., & Leisk, G. (2008). Silk-based electrospun tubular scaffolds for tissue-engineered vascular grafts. Journal of Biomaterials Science, Polymer Edition. https://doi.org/10.1163/156856208784089607

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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.