Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 269

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Effect of Heavy Metals in Plants of the Genus Brassica

Open access
Mourato, Miguel, Moreira, Inês, Leitão, Inês, Pinto, Filipa, Sales, Joana, Martins, Luisa·2015·International Journal of Molecular Sciences

Abstract

Several species from the Brassica genus are very important agricultural crops in different parts of the world and are also known to be heavy metal accumulators. There have been a large number of studies regarding the tolerance, uptake and defense mechanism in several of these species, notably Brassica juncea and B. napus, against the stress induced by heavy metals. Numerous studies have also been published about the capacity of these species to be used for phytoremediation purposes but with mixed results. This review will focus on the latest developments in the study of the uptake capacity, oxidative damage and biochemical and physiological tolerance and defense mechanisms to heavy metal toxicity on six economically important species: B. juncea, B. napus, B. oleracea, B. carinata, B. rapa and B. nigra.

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 · 10.3390/ijms160817975

Cites

99 of 99 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 99 references

Metadata

Authors
Mourato, M., Moreira, I., Leitão, I., Pinto, F., Sales, J., & Martins, L.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2015-08-04
Volume
16
Issue
8
Pages
17975-17998
ISSN
1422-0067 (ISSN-L)
OpenAlex
W1628400154
Cited by
269
References
99
FWCI
16.67
Type
journal article
Language
en
Open access
gold

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: Effect of Heavy Metals in Plants of the Genus Brassica. https://app.cochat.ai/papers/10.3390/ijms160817975
The paper
Mourato, M., Moreira, I., Leitão, I., Pinto, F., Sales, J., & Martins, L. (2015). Effect of Heavy Metals in Plants of the Genus Brassica. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms160817975

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.