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Cited by 389

The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.

The Effects of Calcium, Magnesium, Phosphorus, Fluoride, and Lead on Bone Tissue

Open access
Ciosek, Żaneta, Kot, Karolina, Kosik-Bogacka, Danuta, Łanocha-Arendarczyk, Natalia, Rotter, Iwona·2021·Biomolecules

Abstract

Bones are metabolically active organs. Their reconstruction is crucial for the proper functioning of the skeletal system during bone growth and remodeling, fracture healing, and maintaining calcium–phosphorus homeostasis. The bone metabolism and tissue properties are influenced by trace elements that may act either indirectly through the regulation of macromineral metabolism, or directly by affecting osteoblast and osteoclast proliferation or activity, or through becoming part of the bone mineral matrix. This study analyzes the skeletal impact of macroelements (calcium, magnesium, phosphorus), microelements (fluorine), and heavy metals (lead), and discusses the concentration of each of these elements in the various bone tissues.

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Crossref · 10.3390/biom11040506

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Metadata

Authors
Ciosek, Ż., Kot, K., Kosik-Bogacka, D., Łanocha-Arendarczyk, N., & Rotter, I.
Venue
Biomolecules
Publisher
MDPI AG
Published
2021-03-28
Volume
11
Issue
4
Pages
506
ISSN
2218-273X (ISSN-L)
OpenAlex
W3151055308
Cited by
389
References
138
FWCI
13.48
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Effects of Calcium, Magnesium, Phosphorus, Fluoride, and Lead on Bone Tissue. https://app.cochat.ai/papers/10.3390/biom11040506
The paper
Ciosek, Ż., Kot, K., Kosik-Bogacka, D., Łanocha-Arendarczyk, N., & Rotter, I. (2021). The Effects of Calcium, Magnesium, Phosphorus, Fluoride, and Lead on Bone Tissue. Biomolecules. https://doi.org/10.3390/biom11040506

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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.