Cited by 25Intestinal and Peritoneal AdhesionsSurgical Sutures and AdhesivesHernia repair and management

Recent advances in the preventative strategies for postoperative adhesions using biomaterial-based membranes and micro/nano-drug delivery systems

Akhlaghi, Sarah, Ebrahimnia, Maryam, Niaki, Darya Shokouhi, Solhi, Mehdi, Rabbani, Shahram, Haeri, Azadeh·2023·Journal of Drug Delivery Science and Technology

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Crossref · 10.1016/j.jddst.2023.104539

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2 of 2 references verified0 citation errors · 0 not checkable

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  • Natural polymers often exhibit weaker mechanical properties, batch-to-batch variability, and scalability challenges.

    “However, they often exhibit weaker mechanical properties, batch-to-batch variability, and scalability challenges [17,18].”

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Authors
Akhlaghi, S., Ebrahimnia, M., Niaki, D. S., Solhi, M., Rabbani, S., & Haeri, A.
Affiliations
  • Shahid Beheshti University (IR)
  • Cardiovascular Diseases Research Institute (IR)
Corresponding author
Haeri, Azadeh
Venue
Journal of Drug Delivery Science and Technology
Publisher
Elsevier BV
Published
2023-08
Volume
85
Pages
104539
ISSN
1773-2247 (ISSN-L)
OpenAlex
W4368351371
Cited by
25
References
2
Citations by year
2026: 7 · 2025: 8 · 2024: 8 · 2023: 2
FWCI
6.31
Type
journal article
Language
en
Open access
closed
Locations
Journal of Drug Delivery Science and Technology (publishedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Intestinal and Peritoneal Adhesions
  • Health Sciences › Medicine › Surgery › Surgical Sutures and Adhesives
  • Health Sciences › Medicine › Surgery › Hernia repair and management
Keywords
postoperative adhesions, biomaterial membranes, adhesion prevention, pharmacological agents, particle size, drug release behavior, animal models

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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.

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