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Cited by 355

The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.

The molecular basis of heat stress responses in plants

Open access
Kan, Yi, Mu, Xiao-Rui, Gao, Jin, Lin, Hong-Xuan, Lin, Youshun·2023·Molecular Plant

Abstract

Global warming impacts crop production and threatens food security. Elevated temperatures are sensed by different cell components. Temperature increases are classified as either mild warm temperatures or excessively hot temperatures, and these are perceived by distinct signaling pathways in plants. Warm temperatures induce thermomorphogenesis, while high temperature stress triggers heat acclimation and causes destructive effects on plant growth and development. In this review, we systematically summarize the heat-responsive genetic networks in Arabidopsis and crop plants based on recent studies. In addition, this review highlights the strategies used to improve grain yield under heat stress from a source-sink perspective. We also discuss the remaining issues about the characteristics of thermosensors and the urgency required to explore the basis of acclimation under a multifactorial stress combination.

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Crossref · 10.1016/j.molp.2023.09.013

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Metadata

Authors
Kan, Y., Mu, X.-R., Gao, J., Lin, H.-X., & Lin, Y.
Venue
Molecular Plant
Publisher
Elsevier BV
Published
2023-10
Volume
16
Issue
10
Pages
1612-1634
ISSN
1674-2052 (ISSN-L)
OpenAlex
W4386964379
Cited by
355
References
144
FWCI
49.97
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The molecular basis of heat stress responses in plants. https://app.cochat.ai/papers/10.1016/j.molp.2023.09.013
The paper
Kan, Y., Mu, X.-R., Gao, J., Lin, H.-X., & Lin, Y. (2023). The molecular basis of heat stress responses in plants. Molecular Plant. https://doi.org/10.1016/j.molp.2023.09.013

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.