Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 415

The DOI matches its Crossref record.

Surfactant‐Assisted Synthesis of Nanoscale Gadolinium Metal–Organic Frameworks for Potential Multimodal Imaging

Taylor, Kathryn M. L., Jin, Athena, Lin, Wenbin·2008·Angewandte Chemie International Edition

Abstract

Less basic: By controlling the pH value of the reaction medium, two different gadolinium-containing nanoscale metal–organic frameworks (NMOFs) based on the same building blocks can be synthesized (see picture). The NMOFs carry a large payload of Gd3+ centers and are efficient contrast agents for T2-weighted magnetic resonance imaging. The NMOFs are highly luminescent when doped with other lanthanide ions such as Eu and Tb.

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/anie.200802911

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.

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

Cited by

See all 415

Metadata

Authors
Taylor, K. M. L., Jin, A., & Lin, W.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2008-09-22
Volume
47
Issue
40
Pages
7722-7725
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2140313942
Cited by
415
References
0
FWCI
20.21
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: Surfactant‐Assisted Synthesis of Nanoscale Gadolinium Metal–Organic Frameworks for Potential Multimodal Imaging. https://app.cochat.ai/papers/10.1002/anie.200802911
The paper
Taylor, K. M. L., Jin, A., & Lin, W. (2008). Surfactant‐Assisted Synthesis of Nanoscale Gadolinium Metal–Organic Frameworks for Potential Multimodal Imaging. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200802911

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.