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Cited by 277

The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.

Periodontal Ligament Stem Cells: Current Status, Concerns, and Future Prospects

Open access
Zhu, Wenjun, Liang, Min·2015·Stem Cells International

Abstract

Periodontal ligament stem cells (PDLSCs), which reside in the perivascular space of the periodontium, possess characteristics of mesenchymal stem cells and are a promising tool for periodontal regeneration. Recently, great progress has been made in PDLSC transplantation. Investigators are attempting to maximize the proliferation and differentiation potential of PDLSCs by modifying culture conditions and applying growth factors. Nevertheless, problems remain. First, incomparability among different studies must be minimized by establishing standard guidelines for culture and identification of PDLSCs. Notably, attention should be paid to the biological safety of PDLSC transplantation. The present review updates the latest findings regarding PDLSCs and discusses standard criteria for culture and identification of PDLSCs. Finally, the review calls for careful consideration of PDLSC transplantation safety.

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Crossref · 10.1155/2015/972313

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Metadata

Authors
Zhu, W., & Liang, M.
Venue
Stem Cells International
Publisher
Wiley
Published
2015
Volume
2015
Pages
1-11
ISSN
  • 1687-966X (ISSN-L)
  • 1687-9678
OpenAlex
W2035428418
Cited by
277
References
83
FWCI
20.55
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Periodontal Ligament Stem Cells: Current Status, Concerns, and Future Prospects. https://app.cochat.ai/papers/10.1155/2015/972313
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Zhu, W., & Liang, M. (2015). Periodontal Ligament Stem Cells: Current Status, Concerns, and Future Prospects. Stem Cells International. https://doi.org/10.1155/2015/972313

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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.