Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 187

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Direct conversion of CO2 with diols, aminoalcohols and diamines to cyclic carbonates, cyclic carbamates and cyclic ureas using heterogeneous catalysts

Tamura, Masazumi, Honda, Masayoshi, Nakagawa, Yoshinao, Tomishige, Keiichi·2014·Journal of Chemical Technology & Biotechnology

Abstract

CO 2 has a large effect on global warming by greenhouse gases, and development of an effective technique for the reduction of CO 2 is a crucial and urgent issue. From the chemical viewpoint, CO 2 is regarded as a stable, safe and abundant C1 resource, and the transformation of CO 2 to valuable chemicals is promising not only for reduction of CO 2 but also for production of useful chemicals. This mini‐review focuses on the direct conversion of CO 2 with diols, aminoalcohols and diamines to cyclic compounds such as cyclic carbonates, cyclic carbamates and cyclic ureas, and in particular discusses the mechanisms for these reactions over heterogeneous catalysts. © 2013 Society of Chemical Industry

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/jctb.4209

Cites

3 of 3 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 3 references

Metadata

Authors
Tamura, M., Honda, M., Nakagawa, Y., & Tomishige, K.
Venue
Journal of Chemical Technology & Biotechnology
Publisher
Wiley
Published
2013-10-08
Volume
89
Issue
1
Pages
19-33
ISSN
  • 0142-0356 (ISSN-L)
  • 0268-2575
  • 1097-4660
OpenAlex
W1503456338
Cited by
187
References
3
FWCI
4.61
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: Direct conversion of CO2 with diols, aminoalcohols and diamines to cyclic carbonates, cyclic carbamates and cyclic ureas using heterogeneous catalysts. https://app.cochat.ai/papers/10.1002/jctb.4209
The paper
Tamura, M., Honda, M., Nakagawa, Y., & Tomishige, K. (2014). Direct conversion of CO2 with diols, aminoalcohols and diamines to cyclic carbonates, cyclic carbamates and cyclic ureas using heterogeneous catalysts. Journal of Chemical Technology & Biotechnology. https://doi.org/10.1002/jctb.4209

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.