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

The impact of PM2.5 on the human respiratory system.

Open access
Yu Fei Xing, Yue Xu, Min-Hua Shi, Yi Xin Lian·2016·PubMed

Abstract

Recently, many researchers paid more attentions to the association between air pollution and respiratory system disease. In the past few years, levels of smog have increased throughout China resulting in the deterioration of air quality, raising worldwide concerns. PM2.5 (particles less than 2.5 micrometers in diameter) can penetrate deeply into the lung, irritate and corrode the alveolar wall, and consequently impair lung function. Hence it is important to investigate the impact of PM2.5 on the respiratory system and then to help China combat the current air pollution problems. In this review, we will discuss PM2.5 damage on human respiratory system from epidemiological, experimental and mechanism studies. At last, we recommend to the population to limit exposure to air pollution and call to the authorities to create an index of pollution related to health.

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OpenAlex · 10.3978/j.issn.2072-1439.2016.01.19

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Metadata

Authors
Xing, Y. F., Xu, Y., Shi, M.-H., & Lian, Y. X.
Venue
PubMed
Publisher
National Institutes of Health
Published
2016-01-01
Volume
8
Issue
1
Pages
E69-74
OpenAlex
W2289128632
Cited by
1,739
References
2
FWCI
49.78
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The impact of PM2.5 on the human respiratory system. https://app.cochat.ai/papers/10.3978/j.issn.2072-1439.2016.01.19
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Xing, Y. F., Xu, Y., Shi, M.-H., & Lian, Y. X. (2016). The impact of PM2.5 on the human respiratory system. PubMed. https://doi.org/10.3978/j.issn.2072-1439.2016.01.19

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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.