Evidence map›Paper›PMID 36614226›Full record

ArticleInternational journal of molecular sciences2023

Comprehensive Analysis of Major Latex-Like Protein Family Genes in Cucumber (

Yunyan Kang, Jiale Tong, Wei Liu, Zhongli Jiang, Gengzheng Pan, Xianpeng Ning, Xian Yang, Min Zhong

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Comprehensive analysis of theForestry research · 2026
    Article
  4. Article
  5. Article
  6. Insights into cucumber (Saudi journal of biological sciences · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. 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

8 authors at 1 institution in 1 country.

Yunyan KangDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0001-5699-919X
Jiale TongDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Wei LiuDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Zhongli JiangDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Gengzheng PanDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Xianpeng NingDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.
Xian YangDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0003-4620-6170
Min ZhongDepartment of Vegetable Science, College of Horticulture, South China Agricultural University, Guangzhou 510642, China.
South China Agricultural University · CN

Funding

National Natural Science Foundation of China 31872090
6 · The paper itself

Abstract

Major latex-like proteins (MLPs) play crucial roles in abiotic and biotic stresses. However, little was known about this gene family in cucumbers. In this study, a total of 37 putative cucumber

Indexed as

ArabidopsisCucumis sativusPhytophthoraGene Expression Regulation, PlantGenome, PlantLatexPhylogenyPlant ProteinsLatexPlant ProteinsCucumis sativusexpression analysisgenome-widemajor latex-like proteinPhytophthora melonis

Identifiers

PMID36614226
PMCPMC9821209
OpenAlexW4313473279

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.