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Cited by 316

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Toxins produced in cyanobacterial water blooms - toxicity and risks

Open access
Bláha, Luděk, Babica, Pavel, Maršálek, Blahoslav·2009·Interdisciplinary Toxicology

Abstract

Cyanobacterial blooms in freshwaters represent a major ecological and human health problem worldwide. This paper briefly summarizes information on major cyanobacterial toxins (hepatotoxins, neurotoxins etc.) with special attention to microcystins-cyclic heptapeptides with high acute and chronic toxicities. Besides discussion of human health risks, microcystin ecotoxicology and consequent ecological risks are also highlighted. Although significant research attention has been paid to microcystins, cyanobacteria produce a wide range of currently unknown toxins, which will require research attention. Further research should also address possible additive, synergistic or antagonistic effects among different classes of cyanobacterial metabolites, as well as interactions with other toxic stressors such as metals or persistent organic pollutants.

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Registry

Crossref · 10.2478/v10102-009-0006-2

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Metadata

Authors
Bláha, L., Babica, P., & Maršálek, B.
Venue
Interdisciplinary Toxicology
Published
2009-01-01
Volume
2
Issue
2
Pages
36-41
ISSN
  • 1337-6853 (ISSN-L)
  • 1337-9569
OpenAlex
W2160551663
Cited by
316
References
33
FWCI
2.48
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Toxins produced in cyanobacterial water blooms - toxicity and risks. https://app.cochat.ai/papers/10.2478/v10102-009-0006-2
The paper
Bláha, L., Babica, P., & Maršálek, B. (2009). Toxins produced in cyanobacterial water blooms - toxicity and risks. Interdisciplinary Toxicology. https://doi.org/10.2478/v10102-009-0006-2

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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.