Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 543

The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.

Use of Fish as Bio-indicator of the Effects of Heavy Metals Pollution

Open access
Authman, Mohammad MN·2015·Journal of Aquaculture Research & Development

Abstract

The present review gives a brief account of the toxic effects of heavy metals on fish.In aquatic ecosystem, heavy metals are considered as the most important pollutants, since they are present throughout the ecosystem and are detectable in critical amounts.Heavy metals, such as mercury, cadmium, copper, lead and zinc are of the most important pollutants which effect aquatic environment and fish.They are extremely dangerous for the health of fish.Most of these metals are characterized by being accumulated in tissues, and lead to the poisoning of fish.These metals can effectively influence the vital operations and reproduction of fish; weaken the immune system, and induce pathological changes.As such, fish are used as bio-indictors, playing an important role in monitoring heavy metals pollution.Finally, some recommendations are given to treatment of different kinds of wastewaters, sewage and agricultural wastes before discharge into the aquatic systems.Also, enforcement of laws and legislations regarding the protection of aquatic environments must be taken into consideration.

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 · 10.4172/2155-9546.1000328

Cites

96 of 96 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 96 references

Cited by

See all 543

Metadata

Authors
Authman, M. M.
Venue
Journal of Aquaculture Research & Development
Published
2015
Volume
06
Issue
04
ISSN
2155-9546 (ISSN-L)
OpenAlex
W2241929391
Cited by
543
References
96
FWCI
14.95
Type
journal article
Language
en
Open access
hybrid

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: Use of Fish as Bio-indicator of the Effects of Heavy Metals Pollution. https://app.cochat.ai/papers/10.4172/2155-9546.1000328
The paper
Authman, M. M. (2015). Use of Fish as Bio-indicator of the Effects of Heavy Metals Pollution. Journal of Aquaculture Research & Development. https://doi.org/10.4172/2155-9546.1000328

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.