Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 199

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Can Regenerative Medicine and Nanotechnology Combine to Heal wounds? the Search for the Ideal Wound Dressing

Zarrintaj, Payam, Moghaddam, Abolfazl Salehi, Manouchehri, Saeed, Atoufi, Zhaleh, Amiri, Anahita, Amirkhani, Mohammad Amir, Nilforoushzadeh, Mohammad Ali, Saeb, Mohammad Reza, Hamblin, Michael R, Mozafari, Masoud·2017·Nanomedicine

Abstract

surface area. Skin plays a key role as a barrier against the outer environment depending on its thickness, color and structure, which differ from one site to another. The four major types of problematic wounds include ulcers (diabetic, venous, pressure) and burn wounds. Developing novel dressings helps us to improve the wound healing process in difficult patients. Recent advances in regenerative medicine and nanotechnology are revolutionizing the field of wound healing. Antimicrobial activity, exogenous cell therapy, growth factor delivery, biodegradable and biocompatible matrix construction, all play a role in hi-tech dressing design. In the present review, we discuss how the principles of regenerative medicine and nanotechnology can be combined in innovative wound dressings.

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 · 10.2217/nnm-2017-0173

Cites

8 of 8 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 8 references

Cited by

See all 199

Metadata

Authors
Zarrintaj, P., Moghaddam, A. S., Manouchehri, S., Atoufi, Z., Amiri, A., Amirkhani, M. A., Nilforoushzadeh, M. A., Saeb, M. R., Hamblin, M. R., & Mozafari, M.
Venue
Nanomedicine
Published
2017-09-04
Volume
12
Issue
19
Pages
2403-2422
ISSN
  • 1743-5889 (ISSN-L)
  • 1748-6963
OpenAlex
W2753576269
Cited by
199
References
8
FWCI
20.21
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: Can Regenerative Medicine and Nanotechnology Combine to Heal wounds? the Search for the Ideal Wound Dressing. https://app.cochat.ai/papers/10.2217/nnm-2017-0173
The paper
Zarrintaj, P., Moghaddam, A. S., Manouchehri, S., Atoufi, Z., Amiri, A., Amirkhani, M. A., Nilforoushzadeh, M. A., Saeb, M. R., Hamblin, M. R., & Mozafari, M. (2017). Can Regenerative Medicine and Nanotechnology Combine to Heal wounds? the Search for the Ideal Wound Dressing. Nanomedicine. https://doi.org/10.2217/nnm-2017-0173

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.