ReviewPolymers2019
Hyaluronan-Based Nanofibers: Fabrication, Characterization and Application.
Review in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Viscocohesive hyaluronan gel enhances stability of intravital multiphoton imaging with subcellular resolution.Neurophotonics · 2025Article
- How to Fabricate Hyaluronic Acid for Ocular Drug Delivery.Pharmaceutics · 2024Review
- Article
- Electrospun PVA Fibers for Drug Delivery: A Review.Polymers · 2023Review
- Eflornithine Hydrochloride-Loaded Electrospun Nanofibers as a Potential Face Mask for Hirsutism Application.Pharmaceutics · 2023Article
- Hyaluronic Acid in Biomedical Fields: New Trends from Chemistry to Biomaterial Applications.International journal of molecular sciences · 2022Review
- Review
- Impact of High-Molecular-Weight Hyaluronic Acid on Gene Expression in Rabbit Achilles Tenocytes In Vitro.International journal of molecular sciences · 2022Article
- In-Vitro Antibacterial Activity of Curcumin-Loaded Nanofibers Based on Hyaluronic Acid against Multidrug-Resistant ESKAPE Pathogens.Pharmaceutics · 2022Article
- Marine Biopolymers as Bioactive Functional Ingredients of Electrospun Nanofibrous Scaffolds for Biomedical Applications.Marine drugs · 2022Review
- Hyaluronic acid-based nanofibers: Electrospun synthesis and their medical applications; recent developments and future perspective.Frontiers in chemistry · 2022Review
- Hyaluronic Acid: The Influence of Molecular Weight on Structural, Physical, Physico-Chemical, and Degradable Properties of Biopolymer.Polymers · 2020Review
- Curcumin/Usnic Acid-Loaded Electrospun Nanofibers Based on Hyaluronic Acid.Materials (Basel, Switzerland) · 2020Article
- Hyaluronic Acid and Controlled Release: A Review.Molecules (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Nano- and microfibers based on biopolymers are some of the most attractive issues of biotechnology due to their unique properties and effectiveness. Hyaluronan is well-known as a biodegradable, naturally-occurring polymer, which has great potential for being utilized in a fibrous form. The obtaining of fibers from hyaluronan presents a major challenge because of the hydrophilic character of the polymer and the high viscosity level of its solutions. Electrospinning, as the advanced and effective method of the fiber generation, is difficult. The nano- and microfibers from hyaluronan may be obtained by utilizing special techniques, including binary/ternary solvent systems and several polymers described as modifying (or carrying), such as polyethylene oxide (PEO) and polyvinyl alcohol (PVA). This paper reviews various methods for the synthesis of hyaluronan-based fibers, and also collects brief information on the properties and biological activity of hyaluronan and fibrous materials based on it.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.