Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 722

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Adaptable Hydrogel Networks with Reversible Linkages for Tissue Engineering

Open access
Wang, Huiyuan, Heilshorn, Sarah C.·2015·Advanced Materials

Abstract

Adaptable hydrogels have recently emerged as a promising platform for three‐dimensional (3D) cell encapsulation and culture. In conventional, covalently crosslinked hydrogels, degradation is typically required to allow complex cellular functions to occur, leading to bulk material degradation. In contrast, adaptable hydrogels are formed by reversible crosslinks. Through breaking and re‐formation of the reversible linkages, adaptable hydrogels can be locally modified to permit complex cellular functions while maintaining their long‐term integrity. In addition, these adaptable materials can have biomimetic viscoelastic properties that make them well suited for several biotechnology and medical applications. In this review, an overview of adaptable‐hydrogel design considerations and linkage selections is presented, with a focus on various cell‐compatible crosslinking mechanisms that can be exploited to form adaptable hydrogels for tissue engineering.

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 · 10.1002/adma.201501558

Cites

21 of 21 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 21 references

Cited by

See all 722

Metadata

Authors
Wang, H., & Heilshorn, S. C.
Venue
Advanced Materials
Publisher
Wiley
Published
2015-05-19
Volume
27
Issue
25
Pages
3717-3736
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W1961347528
Cited by
722
References
21
FWCI
18.91
Type
journal article
Language
en
Open access
green

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: Adaptable Hydrogel Networks with Reversible Linkages for Tissue Engineering. https://app.cochat.ai/papers/10.1002/adma.201501558
The paper
Wang, H., & Heilshorn, S. C. (2015). Adaptable Hydrogel Networks with Reversible Linkages for Tissue Engineering. Advanced Materials. https://doi.org/10.1002/adma.201501558

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.