Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 336

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

Incorporation of biomolecules in Metal-Organic Frameworks for advanced applications

An, Hongde, Li, Mingmin, Gao, Jia, Zhang, Zhenjie, Ma, Shengqian, Chen, Yao·2019·Coordination Chemistry Reviews

Abstract

Abstract Incorporation of biomolecules in metal-organic frameworks (MOFs) to form Biomolecules-MOFs composites has attracted great attention as an emerging class of hybrid materials. A wide range of Biomolecules-MOFs composites have been designed and synthesized, which combine the excellent physical and chemical properties of MOFs (e.g. high porosity, tunable pore size) with the versatile functionalities of biomolecules, and applied in various fields including biocatalysis, sensing, separation, imaging and drug delivery. This review thoroughly summarized the state of the art of strategies used to incorporate biomolecules with metal-organic frameworks (MOFs), and emphasized on the remarkable advances of the applications of Biomolecules-MOFs composites, including the current challenges and potential directions in the 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 · 10.1016/j.ccr.2019.01.001

Cites

108 of 108 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 108 references

Cited by

See all 336

Metadata

Authors
An, H., Li, M., Gao, J., Zhang, Z., Ma, S., & Chen, Y.
Venue
Coordination Chemistry Reviews
Publisher
Elsevier BV
Published
2019-04
Volume
384
Pages
90-106
ISSN
0010-8545 (ISSN-L)
OpenAlex
W2913738512
Cited by
336
References
108
FWCI
15.13
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: Incorporation of biomolecules in Metal-Organic Frameworks for advanced applications. https://app.cochat.ai/papers/10.1016/j.ccr.2019.01.001
The paper
An, H., Li, M., Gao, J., Zhang, Z., Ma, S., & Chen, Y. (2019). Incorporation of biomolecules in Metal-Organic Frameworks for advanced applications. Coordination Chemistry Reviews. https://doi.org/10.1016/j.ccr.2019.01.001

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.