Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 298

The DOI matches its Crossref record; 181 of the 181 references it cites were found in a registry or an index.

Tailoring Nanomaterials for Targeting Tumor‐Associated Macrophages

Ovais, Muhammad, Guo, Mengyu, Chen, Chunying·2019·Advanced Materials

Abstract

Advances in the field of nanotechnology together with an increase understanding of tumor immunology have paved the way for the development of more personalized cancer immuno‐nanomedicines. Nanovehicles, due to their specific physicochemical properties, are emerging as key translational moieties in tackling tumor‐promoting, M2‐like tumor‐associated macrophages (TAMs). Cancer immuno‐nanomedicines target TAMs primarily by blocking M2‐like TAM survival or affecting their signaling cascades, restricting macrophage recruitment to tumors and re‐educating tumor‐promoting M2‐like TAMs to the tumoricidal, M1‐like phenotype. Here, the TAM effector mechanisms and strategies for targeting TAMs are summarized, followed by a focus on the mechanistic considerations in the development of novel immuno‐nanomedicines. Furthermore, imaging TAMs with nanoparticles so as to forecast a patient's clinical outcome, describing treatment options, and observing therapy responses is also discussed. At present, strategies that target TAMs are being investigated not only at the basic research level but also in early clinical trials. The significance of TAM‐targeting biomaterials is highlighted, with the goal of facilitating future clinical translation.

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/adma.201808303

Cites

181 of 181 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 181 references

Cited by

See all 298

Metadata

Authors
Ovais, M., Guo, M., & Chen, C.
Venue
Advanced Materials
Publisher
Wiley
Published
2019-03-18
Volume
31
Issue
19
Pages
e1808303-e1808303
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2923186456
Cited by
298
References
181
FWCI
14.10
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: Tailoring Nanomaterials for Targeting Tumor‐Associated Macrophages. https://app.cochat.ai/papers/10.1002/adma.201808303
The paper
Ovais, M., Guo, M., & Chen, C. (2019). Tailoring Nanomaterials for Targeting Tumor‐Associated Macrophages. Advanced Materials. https://doi.org/10.1002/adma.201808303

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.