The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Plants’ Response to Abiotic Stress: Mechanisms and Strategies
Open accessAbstract
Abiotic stress is the adverse effect of any abiotic factor on a plant in a given environment, impacting plants’ growth and development. These stress factors, such as drought, salinity, and extreme temperatures, are often interrelated or in conjunction with each other. Plants have evolved mechanisms to sense these environmental challenges and make adjustments to their growth in order to survive and reproduce. In this review, we summarized recent studies on plant stress sensing and its regulatory mechanism, emphasizing signal transduction and regulation at multiple levels. Then we presented several strategies to improve plant growth under stress based on current progress. Finally, we discussed the implications of research on plant response to abiotic stresses for high-yielding crops and agricultural sustainability. Studying stress signaling and regulation is critical to understand abiotic stress responses in plants to generate stress-resistant crops and improve agricultural sustainability.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A gate–latch–lock mechanism for hormone signalling by abscisic acid receptors
Melcher, K., Ng, L.-M., Zhou, X. E., Soon, F.-F., Xu, Y., Suino-Powell, K. M., Park, S.-Y., Weiner, J. J., Fujii, H., Chinnusamy, V., et al. (2009) · Nature · doi:10.1038/nature08613 · Cited by 731
Constraints of tolerance: why are desiccation-tolerant organisms so small or rare?
Alpert, P. (2006) · Journal of Experimental Biology · doi:10.1242/jeb.02179 · Cited by 344
Metadata
- Authors
- Zhang, Y., Xu, J., Li, R., Ge, Y., Li, Y., & Li, R.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2023-06-30
- Volume
- 24
- Issue
- 13
- Pages
- 10915
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W4382751437
- Cited by
- 385
- References
- 2
- FWCI
- 54.19
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Plants’ Response to Abiotic Stress: Mechanisms and Strategies. https://app.cochat.ai/papers/10.3390/ijms241310915
- The paper
- Zhang, Y., Xu, J., Li, R., Ge, Y., Li, Y., & Li, R. (2023). Plants’ Response to Abiotic Stress: Mechanisms and Strategies. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms241310915
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.
