Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 170

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Low Polydispersity Star Polymers via Cross-Linking Macromonomers by ATRP

Gao, Haifeng, Ohno, Shigeki, Matyjaszewski, Krzysztof·2006·Journal of the American Chemical Society

Abstract

A new method for the synthesis of star polymers with high molecular weight and narrow molecular weight distribution (MWD) is presented. The star copolymers were prepared by atom transfer radical (co)polymerization (ATRP) of linear macromonomers with divinyl cross-linkers using low molar mass initiator. In contrast to prior "arm-first" procedures with macroinitiators, by using lower ratio of concentration of initiator to MM, the star polymers contained less initiating sites in the core, which decreased the extent of star-star coupling reactions and resulted in formation of star polymers with narrower MWD. Addition of more cross-linker and initiator during the reaction increased the star molecular weight and star yield while retaining the narrow MWD of the star polymer. For example, we synthesized a star polymer with molecular weight Mn = 466 000 g/mol and Mw/Mn < 1.2 in >98% yield.

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 · 10.1021/ja066964t

Cites

2 of 2 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 2 references

Cited by

See all 170

Metadata

Authors
Gao, H., Ohno, S., & Matyjaszewski, K.
Venue
Journal of the American Chemical Society
Published
2006-11-01
Volume
128
Issue
47
Pages
15111-15113
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2044927881
Cited by
170
References
2
FWCI
7.98
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: Low Polydispersity Star Polymers via Cross-Linking Macromonomers by ATRP. https://app.cochat.ai/papers/10.1021/ja066964t
The paper
Gao, H., Ohno, S., & Matyjaszewski, K. (2006). Low Polydispersity Star Polymers via Cross-Linking Macromonomers by ATRP. Journal of the American Chemical Society. https://doi.org/10.1021/ja066964t

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.