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Cited by 969

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Advances and challenges in uncovering cold tolerance regulatory mechanisms in plants

Ding, Yanglin, Shi, Yiting, Yang, Shuhua·2019·New Phytologist

Abstract

Contents Summary I. Introduction II. Cold stress and physiological responses in plants III. Sensing of cold signals in plants IV. Messenger molecules involved in cold signal transduction V. Cold signal transduction in plants VI. Conclusions and perspectives Acknowledgements References Summary: Cold stress is a major environmental factor that seriously affects plant growth and development, and influences crop productivity. Plants have evolved a series of mechanisms that allow them to adapt to cold stress at both the physiological and molecular levels. Over the past two decades, much progress has been made in identifying crucial components involved in cold‐stress tolerance and dissecting their regulatory mechanisms. In this review, we summarize recent major advances in our understanding of cold signalling and put forward open questions in the field of plant cold‐stress responses. Answering these questions should help elucidate the molecular mechanisms underlying plant tolerance to cold stress.

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Metadata

Authors
Ding, Y., Shi, Y., & Yang, S.
Venue
New Phytologist
Publisher
Wiley
Published
2019-02-25
Volume
222
Issue
4
Pages
1690-1704
ISSN
  • 0028-646X (ISSN-L)
  • 1469-8137
OpenAlex
W2912513382
Cited by
969
References
6
FWCI
57.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances and challenges in uncovering cold tolerance regulatory mechanisms in plants. https://app.cochat.ai/papers/10.1111/nph.15696
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Ding, Y., Shi, Y., & Yang, S. (2019). Advances and challenges in uncovering cold tolerance regulatory mechanisms in plants. New Phytologist. https://doi.org/10.1111/nph.15696

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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.