The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Diagnostic imaging and therapeutic application of nanoparticles targeting the liver
Abstract
This review summarizes research progress focusing on nanoparticles targeting the liver for both diagnostic and therapeutic purposes at the cellular level.
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
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Walkey, C. D., & Chan, W. C. W. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15233e · Cited by 1,758
Drug targeting to the diseased liver
Poelstra, K., Prakash, J., & Beljaars, L. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.02.011 · Cited by 172
Cited by
Xu, M., Qi, Y., Liu, G., Song, Y., Jiang, X., & Du, B. (2023) · ACS Nano · doi:10.1021/acsnano.3c05853 · Cited by 632
Nanozyme for tumor therapy: Surface modification matters
Tang, G., He, J., Liu, J., Yan, X., & Fan, K. (2021) · Exploration · doi:10.1002/exp.20210005 · Cited by 441
Lipid-based nanoparticle technologies for liver targeting
Böttger, R., Pauli, G., Chao, P.-H., AL Fayez, N., Hohenwarter, L., & Li, S.-D. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.06.017 · Cited by 264
Metadata
- Authors
- Wang, H., Thorling, C. A., Liang, X., Bridle, K. R., Grice, J. E., Zhu, Y., Crawford, D. H. G., Xu, Z. P., Liu, X., & Roberts, M. S.
- Venue
- Journal of Materials Chemistry B
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 3
- Issue
- 6
- Pages
- 939-958
- ISSN
- 2050-750X (ISSN-L)
- 2050-7518
- OpenAlex
- W1976740171
- Cited by
- 173
- References
- 3
- FWCI
- 2.80
- 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: Diagnostic imaging and therapeutic application of nanoparticles targeting the liver. https://app.cochat.ai/papers/10.1039/c4tb01611d
- The paper
- Wang, H., Thorling, C. A., Liang, X., Bridle, K. R., Grice, J. E., Zhu, Y., Crawford, D. H. G., Xu, Z. P., Liu, X., & Roberts, M. S. (2015). Diagnostic imaging and therapeutic application of nanoparticles targeting the liver. Journal of Materials Chemistry B. https://doi.org/10.1039/c4tb01611d
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.