Nanocarriers as cns drug delivery systems for enhanced neuroprotection
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A wide range of pharmaceutical nanocarriers including liposomes, PNPs, SLNs, micelles, dendrimers, and others have been developed.
“A wide range of pharmaceutical nanocarriers including liposomes, PNPs, SLNs, micelles, dendrimers, and some others have been developed (Rajadhyaksha et al., 2011; Wong et al., 2012; Ozkizilcik et al., 2017).”
From Nanotechnology: A Promising Approach for Delivery of Neuroprotective Drugs (2020) · cites this paper as Ozkizilcik et al., 2017
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References 138 · Cited by 10
- Authors
- Ozkizilcik, A., Davidson, P., Turgut, H., Sharma, H. S., Sharma, A., & Tian, Z. R.
- Affiliations
- University of Arkansas at Fayetteville (US)
- Uppsala University (SE)
- Corresponding author
- Sharma, Aruna
- Venue
- Drug and Gene Delivery to the Central Nervous System for Neuroprotection
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 33-55
- OpenAlex
- W2622205672
- Cited by
- 10
- References
- 138
- Citations by year
- 2025: 2 · 2024: 3 · 2022: 3 · 2020: 1 · 2018: 1
- FWCI
- 0.61
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advanced Drug Delivery Systems
- Keywords
- nanocarriers, brain drug delivery, neuroprotection, blood-brain barrier, blood-CSF barrier, targeted drug delivery, liposomes, micelles, nanoparticles, nanofibers, carbon materials, titanate nanowires, sustained drug release, nanocarrier toxicity, neurodegenerative diseases, Alzheimer's disease, multiple sclerosis, encephalitis
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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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