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Cited by 253

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Extreme Temperature Responses, Oxidative Stress and Antioxidant Defense in Plants

Open access
Hasanuzzaman, Mirza, Nahar, Kamrun, Fujit, Masayuki·2013·Abiotic Stress - Plant Responses and Applications in Agriculture

Abstract

Temperature stress is becoming the major concern for plant scientists worldwide due to the changing climate. The difficulty of climate change is further added considering its precisely projecting potential agricultural impacts [1, 2]. Temperature stress has devastating effects on plant growth and metabolism, as these processes have optimum temperature limits in every plant species. Global climate change is making high temperature (HT) a critical factor for plant growth and productivity; HT is now considered to be one of the major abiotic stresses for restricting crop production [3]. The US Environmental Protection Agency (EPA) indicates that global temperatures have risen during the last 30 years [4], and it was mentioned that the decade from 2000 to 2009 was the warmest ever recorded.

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Metadata

Authors
Hasanuzzaman, M., Nahar, K., & Fujit, M.
Venue
Abiotic Stress - Plant Responses and Applications in Agriculture
Publisher
InTech
Published
2013-03-13
OpenAlex
W1496230293
Cited by
253
References
123
FWCI
24.83
Type
book chapter
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Extreme Temperature Responses, Oxidative Stress and Antioxidant Defense in Plants. https://app.cochat.ai/papers/10.5772/54833
The paper
Hasanuzzaman, M., Nahar, K., & Fujit, M. (2013). Extreme Temperature Responses, Oxidative Stress and Antioxidant Defense in Plants. Abiotic Stress - Plant Responses and Applications in Agriculture. https://doi.org/10.5772/54833

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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.