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Cited by 342

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Polymeric Nanofibers in Tissue Engineering

Open access
Dahlin, Rebecca L., Kasper, F. Kurtis, Mikos, Antonios G.·2011·Tissue Engineering Part B: Reviews

Abstract

Polymeric nanofibers can be produced using methods such as electrospinning, phase separation, and self-assembly, and the fiber composition, diameter, alignment, degradation, and mechanical properties can be tailored to the intended application. Nanofibers possess unique advantages for tissue engineering. The small diameter closely matches that of extracellular matrix fibers, and the relatively large surface area is beneficial for cell attachment and bioactive factor loading. This review will update the reader on the aspects of nanofiber fabrication and characterization important to tissue engineering, including control of porous structure, cell infiltration, and fiber degradation. Bioactive factor loading will be discussed with specific relevance to tissue engineering. Finally, applications of polymeric nanofibers in the fields of bone, cartilage, ligament and tendon, cardiovascular, and neural tissue engineering will be reviewed.

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Registry

Crossref · 10.1089/ten.teb.2011.0238

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Metadata

Authors
Dahlin, R. L., Kasper, F. K., & Mikos, A. G.
Venue
Tissue Engineering Part B: Reviews
Published
2011-10
Volume
17
Issue
5
Pages
349-364
ISSN
  • 1937-3368 (ISSN-L)
  • 1937-3376
OpenAlex
W2038294948
Cited by
342
References
114
FWCI
9.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Polymeric Nanofibers in Tissue Engineering. https://app.cochat.ai/papers/10.1089/ten.teb.2011.0238
The paper
Dahlin, R. L., Kasper, F. K., & Mikos, A. G. (2011). Polymeric Nanofibers in Tissue Engineering. Tissue Engineering Part B: Reviews. https://doi.org/10.1089/ten.teb.2011.0238

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.