Evidence map›Paper›PMID 31658600›Full record

ReviewPlants (Basel, Switzerland)2019

Signal Transduction in Leaf Senescence: Progress and Perspective.

Salman Ahmad, Yongfeng Guo

Open access · goldAbstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
12.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Plant direct · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Expression and function identification of senescence-associated genes under continuous drought treatment in grapevine (Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  11. Article
  12. Article
  13. OsACA9, an Autoinhibited CaInternational journal of molecular sciences · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Salman AhmadTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao 266101, China. safitfa@yahoo.com.
Yongfeng GuoTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao 266101, China. guoyongfeng@caas.cn.ORCID 0000-0002-2033-7386
Nuclear Institute for Agriculture and Biology · PKTobacco Research Institute · CN

Funding

Agricultural Science and Technology Innovation Program ASTIP-TRIC02Fundamental Research Funds for Chinese Academy of Agricultural Sciences 2013ZL024
6 · The paper itself

Abstract

Leaf senescence is a degenerative process that is genetically controlled and involves nutrient remobilization prior to the death of leaf tissues. Age is a key developmental determinant of the process along with other senescence inducing factors. At the cellular level, different hormones, signaling molecules, and transcription factors contribute to the regulation of senescence. This review summarizes the recent progress in understanding the complexity of the senescence process with primary focuses on perception and transduction of senescence signals as well as downstream regulatory events. Future directions in this field and potential applications of related techniques in crop improvement will be discussed.

Indexed as

ageleaf senescenceLRR-RLKsMAP kinase cascadereceptor-like kinasesignal transductiontranscription factor

Identifiers

PMID31658600
PMCPMC6843215
OpenAlexW2979824563

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.