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Cited by 1,012

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

Effect of Endocrine Disruptor Pesticides: A Review

Open access
Mnif, Wissem, Hassine, Aziza Ibn Hadj, Bouaziz, Aicha, Bartegi, Aghleb, Thomas, Olivier, Roig, Benoit·2011·International Journal of Environmental Research and Public Health

Abstract

Endocrine disrupting chemicals (EDC) are compounds that alter the normal functioning of the endocrine system of both wildlife and humans. A huge number of chemicals have been identified as endocrine disruptors, among them several pesticides. Pesticides are used to kill unwanted organisms in crops, public areas, homes and gardens, and parasites in medicine. Human are exposed to pesticides due to their occupations or through dietary and environmental exposure (water, soil, air). For several years, there have been enquiries about the impact of environmental factors on the occurrence of human pathologies. This paper reviews the current knowledge of the potential impacts of endocrine disruptor pesticides on human health.

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Crossref · 10.3390/ijerph8062265

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Metadata

Authors
Mnif, W., Hassine, A. I. H., Bouaziz, A., Bartegi, A., Thomas, O., & Roig, B.
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2011-06-17
Volume
8
Issue
6
Pages
2265-2303
ISSN
1660-4601 (ISSN-L)
OpenAlex
W2146416965
Cited by
1,012
References
2
FWCI
16.29
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Effect of Endocrine Disruptor Pesticides: A Review. https://app.cochat.ai/papers/10.3390/ijerph8062265
The paper
Mnif, W., Hassine, A. I. H., Bouaziz, A., Bartegi, A., Thomas, O., & Roig, B. (2011). Effect of Endocrine Disruptor Pesticides: A Review. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph8062265

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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.