The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Mechanisms pertaining to arsenic toxicity
Open accessAbstract
Arsenic is an environmental pollutant and its contamination in the drinking water is considered as a serious worldwide environmental health threat. The chronic arsenic exposure is a cause of immense health distress as it accounts for the increased risk of various disorders such as cardiovascular abnormalities, diabetes mellitus, neurotoxicity, and nephrotoxicity. In addition, the exposure to arsenic has been suggested to affect the liver function and to induce hepatotoxicity. Moreover, few studies demonstrated the induction of carcinogenicity especially cancer of the skin, bladder, and lungs after the chronic exposure to arsenic. The present review addresses diverse mechanisms involved in the pathogenesis of arsenic-induced toxicity and end-organ damage.
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Citations
Cites
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Ratnaike, R. N. (2003) · Postgraduate Medical Journal · doi:10.1136/pmj.79.933.391 · Cited by 1,175
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Cited by
Epigenetic influence of environmentally neurotoxic metals
Ijomone, O. M., Ijomone, O. K., Iroegbu, J. D., Ifenatuoha, C. W., Olung, N. F., & Aschner, M. (2020) · NeuroToxicology · doi:10.1016/j.neuro.2020.08.005 · Cited by 99
Xu, Y., Patel, D. N., Ng, S.-L. P., Tan, S.-H., Toh, D., Poh, J., Lim, A. T., Chan, C.-L., Low, M.-Y., & Koh, H.-L. (2018) · Frontiers in Medicine · doi:10.3389/fmed.2018.00167 · Cited by 22
Metadata
- Authors
- Kaur, T., Singh, A., & Goel, R.
- Venue
- Toxicology International
- Publisher
- Informatics Publishing Limited
- Published
- 2011
- Volume
- 18
- Issue
- 2
- Pages
- 87
- ISSN
- 0971-6580 (ISSN-L)
- OpenAlex
- W2073495046
- Cited by
- 326
- References
- 56
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- green
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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.
