The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Characterization of Nanoparticles for Therapeutics
Abstract
Nanotechnology offers many advantages to traditional drug design, delivery and medical diagnostics; however, nanomedicines present considerable challenges for preclinical development. Nanoparticle constructs intended for medical applications consist of a wide variety of materials, and their small size, unique physicochemical properties and biological activity often require modification of standard characterization techniques. A rational characterization strategy for nanomedicines includes physicochemical characterization, sterility and pyrogenicity assessment, biodistribution (absorption, distribution, metabolism and excretion [ADME]) and toxicity characterization, which includes both in vitro tests and in vivo animal studies. Here, we highlight progress for a few methods that are uniquely useful for nanoparticles or are indicative of their toxicity or efficacy.
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
1 retracted
RETRACTED: Polyethylenimine nanoparticles as efficient transfecting agents for mammalian cells
Nimesh, S., Goyal, A., Pawar, V., Jayaraman, S., Kumar, P., Chandra, R., Singh, Y. P., & Gupta, K. C. (2005) · Journal of Controlled Release · doi:10.1016/j.jconrel.2005.10.014 · Cited by 97
RetractedNanotoxicology: An Emerging Discipline Evolving from Studies of Ultrafine Particles
Oberdörster, G., Oberdörster, E., & Oberdörster, J. (2005) · Environmental Health Perspectives · doi:10.1289/ehp.7339 · Cited by 7,891
Tumor vascular permeability and the EPR effect in macromolecular therapeutics: a review
Maeda, H., Wu, J., Sawa, T., Matsumura, Y., & Hori, K. (2000) · Journal of Controlled Release · doi:10.1016/s0168-3659(99)00248-5 · Cited by 6,565
Drug Delivery Systems: Entering the Mainstream
Allen, T. M., & Cullis, P. R. (2004) · Science · doi:10.1126/science.1095833 · Cited by 4,552
Current Protocols in Immunology
(2018) · Current Protocols in Immunology · doi:10.1002/(issn)1934-368x · Cited by 3,566
Long-Circulating and Target-Specific Nanoparticles: Theory to Practice
Moghimi, S. M., Hunter, A. C., & Murray, J. C. (2001) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01494-7 · Cited by 3,515
Effect of pegylation on pharmaceuticals
Harris, J. M., & Chess, R. B. (2003) · Nature Reviews Drug Discovery · doi:10.1038/nrd1033 · Cited by 3,431
Dynamic Light Scattering: With Applications to Chemistry, Biology, and Physics
Berne, B. J., & Pecora, R. (1976) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,856
Oberdörster, G., Maynard, A., Donaldson, K., Castranova, V., Fitzpatrick, J., Ausman, K., Carter, J., Karn, B., Kreyling, W., Lai, D., et al. (2005) · Particle and Fibre Toxicology · doi:10.1186/1743-8977-2-8 · Cited by 2,134
Immunological properties of engineered nanomaterials
Dobrovolskaia, M. A., & McNeil, S. E. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.223 · Cited by 1,823
Self-citation
Cited by
Batrakova, E. V., & Kabanov, A. V. (2008) · Journal of Controlled Release · doi:10.1016/j.jconrel.2008.04.013 · Cited by 1,278
Dobrovolskaia, M. A., Aggarwal, P., Hall, J. B., & McNeil, S. E. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800032f · Cited by 1,022
Self-citationXu, W., Ling, P., & Zhang, T. (2013) · Journal of Drug Delivery · doi:10.1155/2013/340315 · Cited by 595
Inhibition of the Multidrug Resistance P-Glycoprotein: Time for a Change of Strategy?
Callaghan, R., Luk, F., & Bebawy, M. (2014) · Drug Metabolism and Disposition · doi:10.1124/dmd.113.056176 · Cited by 453
Kus-Liśkiewicz, M., Fickers, P., & Ben Tahar, I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222010952 · Cited by 404
Metadata
- Authors
- Hall, J. B., Dobrovolskaia, M. A., Patri, A. K., & McNeil, S. E.
- Venue
- Nanomedicine
- Publisher
- Informa UK Limited
- Published
- 2007-12
- Volume
- 2
- Issue
- 6
- Pages
- 789-803
- ISSN
- 1743-5889 (ISSN-L)
- 1748-6963
- OpenAlex
- W2135913252
- Cited by
- 409
- References
- 61
- FWCI
- 5.62
- Type
- journal article
- Language
- en
- Open access
- closed
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: Characterization of Nanoparticles for Therapeutics. https://app.cochat.ai/papers/10.2217/17435889.2.6.789
- The paper
- Hall, J. B., Dobrovolskaia, M. A., Patri, A. K., & McNeil, S. E. (2007). Characterization of Nanoparticles for Therapeutics. Nanomedicine. https://doi.org/10.2217/17435889.2.6.789
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.