The DOI matches its Crossref record.
Biodistribution of Carbon Single-Wall Carbon Nanotubes in Mice
Abstract
Carbon nanotubes are promising for use in biomedical and pharmaceutical sciences. Therefore, it becomes imperative to know the basic biological properties of carbon nanotubes in vivo. We labeled the water-soluble hydroxylated carbon single-wall nanotubes with radioactive 125I atoms, and then the tracer was used to study the distribution of hydroxylated carbon single-wall nanotubes in mice. They moved easily among the compartments and tissues of the body, behaving as small active molecules though their apparent mean molecular weight is tremendously large. This study, for the first time, affords a quantitative analysis of carbon nanotubes accumulated in animal tissues.
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
Cited by
Sharifi, S., Behzadi, S., Laurent, S., Laird Forrest, M., Stroeve, P., & Mahmoudi, M. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15188f · Cited by 1,460
Promises, facts and challenges for carbon nanotubes in imaging and therapeutics
Kostarelos, K., Bianco, A., & Prato, M. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.241 · Cited by 787
Nanotechnology Safety Concerns Revisited
Stern, S. T., & McNeil, S. E. (2008) · Toxicological Sciences · doi:10.1093/toxsci/kfm169 · Cited by 560
Nanocarbons for Biology and Medicine: Sensing, Imaging, and Drug Delivery
Panwar, N., Soehartono, A. M., Chan, K. K., Zeng, S., Xu, G., Qu, J., Coquet, P., Yong, K.-T., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00099 · Cited by 555
Behavior and Toxicity of Graphene and Its Functionalized Derivatives in Biological Systems
Yang, K., Li, Y., Tan, X., Peng, R., & Liu, Z. (2013) · Small · doi:10.1002/smll.201201417 · Cited by 462
Metadata
- Authors
- Wang, H., Wang, J., Deng, X., Sun, H., Shi, Z., Gu, Z., Liu, Y., & Zhaoc, Y.
- Venue
- Journal of Nanoscience and Nanotechnology
- Publisher
- American Scientific Publishers
- Published
- 2004-11-01
- Volume
- 4
- Issue
- 8
- Pages
- 1019-1024
- ISSN
- 1533-4880 (ISSN-L)
- 0000-0000
- OpenAlex
- W1996903255
- Cited by
- 408
- References
- 0
- FWCI
- 9.34
- 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: Biodistribution of Carbon Single-Wall Carbon Nanotubes in Mice. https://app.cochat.ai/papers/10.1166/jnn.2004.146
- The paper
- Wang, H., Wang, J., Deng, X., Sun, H., Shi, Z., Gu, Z., Liu, Y., & Zhaoc, Y. (2004). Biodistribution of Carbon Single-Wall Carbon Nanotubes in Mice. Journal of Nanoscience and Nanotechnology. https://doi.org/10.1166/jnn.2004.146
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.
