The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.
Multidisciplinary haematology as prognostic device in environmental and xenobiotic stress-induced response in fish
Abstract
The variations of haematological parameters hematocrit, hemoglobin concentration, leukocyte and erythrocyte count have been used as pollution and physiological indicators of organic dysfunction in both environmental and aquaculture studies. These parameters are commonly applied as prognostic and diagnostic tools in fish health status. However, there are both extrinsic and intrinsic factors to consider when performing a blood test, because a major limitation for field researchers is that the "rules" for animal or human haematology do not always apply to wildlife. The main objective of this review is to show how some environmental and xenobiotic factors are capable to modulating the haematic cells. Visualizing the strengths and limitations of a haematological analysis in the health assessment of wild and culture fish. Finally, we point out the importance of the use of mitochondrial activities as part of haematological evaluations associated to environment or aquaculture stress.
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.
Integrity signals
Registry
Cites
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.
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
Free Radicals in the Physiological Control of Cell Function
Dröge, W. (2002) · Physiological Reviews · doi:10.1152/physrev.00018.2001 · Cited by 9,855
Heavy Metal Toxicity and the Environment
Tchounwou, P. B., Yedjou, C. G., Patlolla, A. K., & Sutton, D. J. (2012) · Experientia Supplementum · doi:10.1007/978-3-7643-8340-4_6 · Cited by 7,192
Nanoparticles: Properties, applications and toxicities
Khan, I., Saeed, K., & Khan, I. (2019) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2017.05.011 · Cited by 6,244
Fish bioaccumulation and biomarkers in environmental risk assessment: a review
van der Oost, R., Beyer, J., & Vermeulen, N. P. E. (2003) · Environmental Toxicology and Pharmacology · doi:10.1016/s1382-6689(02)00126-6 · Cited by 4,895
Wendelaar Bonga, S. E. (1997) · Physiological Reviews · doi:10.1152/physrev.1997.77.3.591 · Cited by 4,188
Clinical Methods: The History, Physical, and Laboratory Examinations
Kruse, J. A. (1990) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1990.03450210108045 · Cited by 2,029
Routine haematological methods for use with fish blood
Blaxhall, P. C., & Daisley, K. W. (1973) · Journal of Fish Biology · doi:10.1111/j.1095-8649.1973.tb04510.x · Cited by 1,652
Wijnhoven, S. W. P., Peijnenburg, W. J. G. M., Herberts, C. A., Hagens, W. I., Oomen, A. G., Heugens, E. H. W., Roszek, B., Bisschops, J., Gosens, I., Van De Meent, D., et al. (2009) · Nanotoxicology · doi:10.1080/17435390902725914 · Cited by 1,321
Toxicological profile for arsenic
United States, A. F. T. S. A. D. R. S. R. C. (2007) · doi:10.15620/cdc:11481 · Cited by 1,175
Zamzami, N., Marchetti, P., Castedo, M., Zanin, C., Vayssière, J. L., Petit, P. X., & Kroemer, G. (1995) · The Journal of experimental medicine · doi:10.1084/jem.181.5.1661 · Cited by 1,166
Cited by
Sangkham, S., Faikhaw, O., Munkong, N., Sakunkoo, P., Arunlertaree, C., Chavali, M., Mousazadeh, M., & Tiwari, A. (2022) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2022.113832 · Cited by 465
Hematological methods in fish – Not only for beginners
Witeska, M., Kondera, E., Ługowska, K., & Bojarski, B. (2022) · Aquaculture · doi:10.1016/j.aquaculture.2021.737498 · Cited by 348
Potential health impact of environmental micro‐ and nanoplastics pollution
Chang, X., Xue, Y., Li, J., Zou, L., & Tang, M. (2020) · Journal of Applied Toxicology · doi:10.1002/jat.3915 · Cited by 328
Metadata
- Authors
- Burgos-Aceves, M. A., Lionetti, L., & Faggio, C.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 670
- Pages
- 1170-1183
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2923075811
- Cited by
- 317
- References
- 124
- FWCI
- 18.53
- Type
- journal article
- Language
- en
- Open access
- closed
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: Multidisciplinary haematology as prognostic device in environmental and xenobiotic stress-induced response in fish. https://app.cochat.ai/papers/10.1016/j.scitotenv.2019.03.275
- The paper
- Burgos-Aceves, M. A., Lionetti, L., & Faggio, C. (2019). Multidisciplinary haematology as prognostic device in environmental and xenobiotic stress-induced response in fish. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2019.03.275
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.
