Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 216

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cancer‐Targeted Nanotheranostics: Recent Advances and Perspectives

Ma, Yufei, Huang, Jie, Song, Saijie, Chen, Huabing, Zhang, Zhijun·2016·Small

Abstract

Cancer‐targeted nanotechnology is experiencing the trend of finding new materials with multiple functions for imaging and therapeutic applications. With the rapid development of the related fields, there exists a large number of reports regarding theranostic nanomedicine, decreasing the gap between cancer diagnosis and treatment with minimized separate comprehensions. In order to present an overview on the cancer‐targeted nanotheranostics, we first describe their essential building blocks, including platforms, therapeutic agents and imaging agents, and then the recently rapidly developed multimodal theranostic systems. Finally we discuss the major challenges and the perspectives of future development of nanotheranostics toward clinical translations and personalized nanomedicine.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/smll.201600635

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 216

Metadata

Authors
Ma, Y., Huang, J., Song, S., Chen, H., & Zhang, Z.
Venue
Small
Publisher
Wiley
Published
2016-05-06
Volume
12
Issue
36
Pages
4936-4954
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2347194687
Cited by
216
References
3
FWCI
12.77
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: Cancer‐Targeted Nanotheranostics: Recent Advances and Perspectives. https://app.cochat.ai/papers/10.1002/smll.201600635
The paper
Ma, Y., Huang, J., Song, S., Chen, H., & Zhang, Z. (2016). Cancer‐Targeted Nanotheranostics: Recent Advances and Perspectives. Small. https://doi.org/10.1002/smll.201600635

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.