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Cited by 175

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Brassinosteroids and plant function: some clues, more puzzles

HAUBRICK, L. L., ASSMANN, S. M.·2006·Plant, Cell & Environment

Abstract

The role of brassinosteroids (BRs) in plant function has been intensively studied in the last few years. Mutant analysis has demonstrated that the ability to synthesize, perceive and respond to BRs is essential to normal plant growth and development. Several key elements of BR response have been identified using both genetic and biochemical approaches, and molecular models that parallel Wingless (Wnt), transforming growth factor β (TGF β) and receptor tyrosine kinase (RTK) signalling in animals have been proposed. Many studies have demonstrated the role of BRs, alone and in interaction with other plant hormones, in processes such as cell elongation and seed germination. In contrast, little is known about how the sensing of BRs is connected to specific physiological responses such as stress resistance. There remain many open questions about how these connections are made.

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Crossref · 10.1111/j.1365-3040.2005.01481.x

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Metadata

Authors
HAUBRICK, L. L., & ASSMANN, S. M.
Venue
Plant, Cell & Environment
Publisher
Wiley
Published
2006-03
Volume
29
Issue
3
Pages
446-457
ISSN
  • 0140-7791 (ISSN-L)
  • 1365-3040
OpenAlex
W2120014815
Cited by
175
References
4
FWCI
15.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Brassinosteroids and plant function: some clues, more puzzles. https://app.cochat.ai/papers/10.1111/j.1365-3040.2005.01481.x
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HAUBRICK, L. L., & ASSMANN, S. M. (2006). Brassinosteroids and plant function: some clues, more puzzles. Plant, Cell & Environment. https://doi.org/10.1111/j.1365-3040.2005.01481.x

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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.