Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 242

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Advanced Functional Nanomaterials for Theranostics

Open access
Huang, Haoyuan, Lovell, Jonathan F.·2017·Advanced Functional Materials

Abstract

Nanoscale materials have been explored extensively as agents for therapeutic and diagnostic (i.e., theranostic) applications. Research efforts have shifted from exploring new materials in vitro to designing materials that function in more relevant animal disease models, thereby increasing potential for clinical translation. Current interests include non‐invasive imaging of diseases, biomarkers, and targeted delivery of therapeutic drugs. Here, some general design considerations of advanced theranostic materials and challenges of their use, from both diagnostic and therapeutic perspectives, are discussed. Common classes of nanoscale biomaterials, including magnetic nanoparticles, quantum dots, upconversion nanoparticles, mesoporous silica nanoparticles, carbon‐based nanoparticles, and organic dye‐based nanoparticles, have demonstrated potential for both diagnosis and therapy. Variations such as size control and surface modifications can modulate biocompatibility and interactions with target tissues. The need for improved disease detection and enhanced chemotherapeutic treatments, together with realistic considerations for clinically translatable nanomaterials, will be key driving factors for theranostic agent research in the near future.

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/adfm.201603524

Cites

12 of 12 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 12 references

Cited by

See all 242

Metadata

Authors
Huang, H., & Lovell, J. F.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2016-11-07
Volume
27
Issue
2
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2553807524
Cited by
242
References
12
FWCI
14.59
Type
journal article
Language
en
Open access
green

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: Advanced Functional Nanomaterials for Theranostics. https://app.cochat.ai/papers/10.1002/adfm.201603524
The paper
Huang, H., & Lovell, J. F. (2017). Advanced Functional Nanomaterials for Theranostics. Advanced Functional Materials. https://doi.org/10.1002/adfm.201603524

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.