The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Chitosan-coated solid lipid nanoparticles enhance the oral absorption of insulin
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Citations
Cites
Nanoparticles as potential oral delivery systems of proteins and vaccines: A mechanistic approach
des Rieux, A., Fievez, V., Garinot, M., Schneider, Y.-J., & Préat, V. (2006) · Journal of Controlled Release · doi:10.1016/j.jconrel.2006.08.013 · Cited by 1,305
Stealth PLA-PEG nanoparticles as protein carriers for nasal administration
Tobío, M., Gref, R., Sánchez, A., Langer, R., & Alonso, M. J. (1998) · Pharmaceutical Research · doi:10.1023/a:1011922819926 · Cited by 402
Cited by
Hua, S. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00524 · Cited by 527
Emerging micro- and nanotechnology based synthetic approaches for insulin delivery
Mo, R., Jiang, T., Di, J., Tai, W., & Gu, Z. (2014) · Chemical Society Reviews · doi:10.1039/c3cs60436e · Cited by 386
Potential of insulin nanoparticle formulations for oral delivery and diabetes treatment.
Wong, C. Y., Al-Salami, H., & Dass, C. R. (2017) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.09.003 · Cited by 257
Oral insulin delivery: how far are we?
Fonte, P., Araújo, F., Reis, S., & Sarmento, B. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700228 · Cited by 211
Self-citationSenthil Kumar, C., Thangam, R., Mary, S. A., Kannan, P. R., Arun, G., & Madhan, B. (2020) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2019.115682 · Cited by 168
Metadata
- Authors
- Fonte, P., Nogueira, T., Gehm, C., Ferreira, D., & Sarmento, B.
- Venue
- Drug Delivery and Translational Research
- Published
- 2011-03-29
- Volume
- 1
- Issue
- 4
- Pages
- 299-308
- ISSN
- 2190-393X (ISSN-L)
- 2190-3948
- OpenAlex
- W2049975169
- Cited by
- 189
- References
- 2
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- closed
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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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Chitosan-coated solid lipid nanoparticles enhance the oral absorption of insulin. https://app.cochat.ai/papers/10.1007/s13346-011-0023-5
- The paper
- Fonte, P., Nogueira, T., Gehm, C., Ferreira, D., & Sarmento, B. (2011). Chitosan-coated solid lipid nanoparticles enhance the oral absorption of insulin. Drug Delivery and Translational Research. https://doi.org/10.1007/s13346-011-0023-5
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.
