Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 271

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Cell sheet engineering: a unique nanotechnology for scaffold‐free tissue reconstruction with clinical applications in regenerative medicine

Elloumi‐Hannachi, I., Yamato, M., Okano, T.·2010·Journal of Internal Medicine

Abstract

Abstract.: Cell sheet technology (CST) is based on the use of thermoresponsive polymers, poly(N‐isopropylacrylamide) (PIPAAm). The surface of PIPAAms is formulated in such a way as to make its typical thickness <100 nm. In this review, we first focus on how the methods of PIPAAm‐grafted surface preparations and functionalization are important to be able to harvest a functional cell sheet, to be further transplanted. Then, we present aspects of tissue mimics and three‐dimensional reconstruction of a tissue in vitro. Finally, we give an overview of clinical applications and clinically relevant animal experimentations of the technology, such as cardiomyopathy, visual acuity, periodonty, oesophageal ulcerations and type 1 diabetes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1365-2796.2009.02185.x

Cites

59 of 59 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 59 references

Cited by

See all 271

Metadata

Authors
Elloumi‐Hannachi, I., Yamato, M., & Okano, T.
Venue
Journal of Internal Medicine
Publisher
Wiley
Published
2009-12-11
Volume
267
Issue
1
Pages
54-70
ISSN
  • 0954-6820 (ISSN-L)
  • 1365-2796
OpenAlex
W1554555407
Cited by
271
References
59
FWCI
15.38
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cell sheet engineering: a unique nanotechnology for scaffold‐free tissue reconstruction with clinical applications in regenerative medicine. https://app.cochat.ai/papers/10.1111/j.1365-2796.2009.02185.x
The paper
Elloumi‐Hannachi, I., Yamato, M., & Okano, T. (2010). Cell sheet engineering: a unique nanotechnology for scaffold‐free tissue reconstruction with clinical applications in regenerative medicine. Journal of Internal Medicine. https://doi.org/10.1111/j.1365-2796.2009.02185.x

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.