The DOI matches its Crossref record.
Theranostic Nanoparticles
Open accessAbstract
Theranostic nanoparticles hold the potential to revolutionize disease management. Over the last decade, there has been growing interest in the engineering of various kinds of theranostic nanoparticles for simultaneous cancer imaging and therapy in small animals. Efficient targeting of theranostic nanoparticles to the tumor site is critical for both diagnosis and therapy. However, difficulties still exist in the engineering of biocompatible theranostic nanoparticles with highly specific in vivo tumor-targeting capabilities. Here, we discuss the current and prospective status of theranostic nanoparticles that actively target tumors, as well as the challenges that still exist.
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
Analysis of nanoparticle delivery to tumours
Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. W. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.14 · Cited by 5,218
Smart Nanomaterials in Cancer Theranostics: Challenges and Opportunities
Kashyap, B. K., Singh, V. V., Solanki, M. K., Kumar, A., Ruokolainen, J., & Kesari, K. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07840 · Cited by 348
Antibody fragments as nanoparticle targeting ligands: a step in the right direction
Richards, D. A., Maruani, A., & Chudasama, V. (2017) · Chemical Science · doi:10.1039/c6sc02403c · Cited by 294
Sharifi-Rad, J., Quispe, C., Butnariu, M., Rotariu, L. S., Sytar, O., Sestito, S., Rapposelli, S., Akram, M., Iqbal, M., Krishna, A., et al. (2021) · Cancer Cell International · doi:10.1186/s12935-021-02025-4 · Cited by 290
Ali, E. S., Sharker, S. M., Islam, M. T., Khan, I. N., Shaw, S., Rahman, M. A., Uddin, S. J., Shill, M. C., Rehman, S., Das, N., et al. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2020.01.011 · Cited by 267
Metadata
- Authors
- Chen, F., Ehlerding, E. B., & Cai, W.
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2014-11-20
- Volume
- 55
- Issue
- 12
- Pages
- 1919-1922
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W4245622808
- Cited by
- 328
- References
- 0
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Theranostic Nanoparticles. https://app.cochat.ai/papers/10.2967/jnumed.114.146019
- The paper
- Chen, F., Ehlerding, E. B., & Cai, W. (2014). Theranostic Nanoparticles. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.114.146019
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.