The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Hydrogels and Wound Healing: Current and Future Prospects
Open accessAbstract
The care and rehabilitation of acute and chronic wounds have a significant social and economic impact on patients and global health. This burden is primarily due to the adverse effects of infections, prolonged recovery, and the associated treatment costs. Chronic wounds can be treated with a variety of approaches, which include surgery, negative pressure wound therapy, wound dressings, and hyperbaric oxygen therapy. However, each of these strategies has an array of limitations. The existing dry wound dressings lack functionality in promoting wound healing and exacerbating pain by adhering to the wound. Hydrogels, which are commonly polymer-based and swell in water, have been proposed as potential remedies due to their ability to provide a moist environment that facilitates wound healing. Their unique composition enables them to absorb wound exudates, exhibit shape adaptability, and be modified to incorporate active compounds such as growth factors and antibacterial compounds. This review provides an updated discussion of the leading natural and synthetic hydrogels utilized in wound healing, details the latest advancements in hydrogel technology, and explores alternate approaches in this field. Search engines Scopus, PubMed, Science Direct, and Web of Science were utilized to review the advances in hydrogel applications over the last fifteen years.
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.
Integrity signals
Registry
Cites
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.
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
Alginate: Properties and biomedical applications
Lee, K. Y., & Mooney, D. J. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2011.06.003 · Cited by 8,095
Hydrogel: Preparation, characterization, and applications: A review
Ahmed, E. M. (2015) · Journal of Advanced Research · doi:10.1016/j.jare.2013.07.006 · Cited by 5,800
Wound Healing Dressings and Drug Delivery Systems: A Review
Boateng, J. S., Matthews, K. H., Stevens, H. N. E., & Eccleston, G. M. (2008) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.21210 · Cited by 3,049
Wound Healing: A Cellular Perspective
Rodrigues, M., Kosaric, N., Bonham, C. A., & Gurtner, G. C. (2019) · Physiological Reviews · doi:10.1152/physrev.00067.2017 · Cited by 3,013
The Wound Healing Process: An Overview of the Cellular and Molecular Mechanisms
Velnar, T., Bailey, T., & Smrkolj, V (2009) · Journal of International Medical Research · doi:10.1177/147323000903700531 · Cited by 2,442
Transition from inflammation to proliferation: a critical step during wound healing
Landén, N. X., Li, D., & Ståhle, M. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2268-0 · Cited by 1,980 · cited 1×
“The last stage of the healing process involves remodeling, which commences around 2 to 3 weeks following the initiation of the wound and may persist for one year [20].”
BackgroundThe World Health Organization (WHO) approach to healthy ageing
Rudnicka, E., Napierała, P., Podfigurna, A., Męczekalski, B., Smolarczyk, R., & Grymowicz, M. (2020) · Maturitas · doi:10.1016/j.maturitas.2020.05.018 · Cited by 1,750 · cited 1×
“By 2050, the global population of individuals aged 60 or above is anticipated to surpass the population of youth aged 10–24, with an estimated count of 2.1 billion compared to 2.0 billion, respectively [30].”
BackgroundInfluentialBiopolymer-Based Hydrogels As Scaffolds for Tissue Engineering Applications: A Review
Van Vlierberghe, S., Dubruel, P., & Schacht, E. (2011) · Biomacromolecules · doi:10.1021/bm200083n · Cited by 1,716
Wound healing - A literature review
Gonzalez, A. C. D. O., Costa, T. F., Andrade, Z. D. A., & Medrado, A. R. A. P. (2016) · Anais Brasileiros de Dermatologia · doi:10.1590/abd1806-4841.20164741 · Cited by 1,605
Dhivya, S., Padma, V. V., & Santhini, E. (2015) · BioMedicine · doi:10.7603/s40681-015-0022-9 · Cited by 1,526
Cited by
Oh, N., Hwang, J., Kang, M. S., Yoo, C.-Y., Kwak, M., & Han, D.-W. (2025) · Biomaterials Research · doi:10.34133/bmr.0183 · Cited by 25
Metadata
- Authors
- Gounden, V., & Singh, M.
- Venue
- Gels
- Publisher
- MDPI AG
- Published
- 2024-01-05
- Volume
- 10
- Issue
- 1
- Pages
- 43
- ISSN
- 2310-2861 (ISSN-L)
- OpenAlex
- W4390615188
- Cited by
- 365
- References
- 90
- FWCI
- 49.99
- Type
- journal article
- Language
- en
- Open access
- gold
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: Hydrogels and Wound Healing: Current and Future Prospects. https://app.cochat.ai/papers/10.3390/gels10010043
- The paper
- Gounden, V., & Singh, M. (2024). Hydrogels and Wound Healing: Current and Future Prospects. Gels. https://doi.org/10.3390/gels10010043
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.