Evidence map›Paper›PMID 40806399›Full record

ArticleInternational journal of molecular sciences2025

Physiological and Transcriptomic Analyses Reveal Regulatory Mechanisms of Adventitious Root Formation in In Vitro Culture of

Yuntong Zhang, Ting Zhang, Yongjie Zheng, Jun Wang, Chenglin Luo, Yuhua Li, Xinliang Liu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Plants (Basel, Switzerland) · 2026
    Review
  3. 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

7 authors.

Yuntong ZhangState Key Laboratory of Tree Genetics and Breeding, Beijing Forestry University, Beijing 100083, China.
Ting ZhangCamphor Engineering and Technology Research Centre of National Forestry and Grassland Administration, Jiangxi Academy of Forestry, Nanchang 330032, China.ORCID 0000-0001-8403-7457
Yongjie ZhengCamphor Engineering and Technology Research Centre of National Forestry and Grassland Administration, Jiangxi Academy of Forestry, Nanchang 330032, China.ORCID 0000-0002-8863-6534
Jun WangState Key Laboratory of Tree Genetics and Breeding, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0003-0679-1125
Chenglin LuoCamphor Engineering and Technology Research Centre of National Forestry and Grassland Administration, Jiangxi Academy of Forestry, Nanchang 330032, China.
Yuhua LiCamphor Engineering and Technology Research Centre of National Forestry and Grassland Administration, Jiangxi Academy of Forestry, Nanchang 330032, China.
Xinliang LiuCamphor Engineering and Technology Research Centre of National Forestry and Grassland Administration, Jiangxi Academy of Forestry, Nanchang 330032, China.ORCID 0000-0001-9108-1587

Funding

National Key Research and Development Program of China 2024YFD2200105Natural Science Foundation of Jiangxi Province 20224BAB205030The Basic Research Project of Jiangxi Academy of Forestry 2025522704The Natural Science Foundation of Jiangxi Province 0232ACB205018
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cinnamomum camphoraPlant RootsTranscriptomeAbscisic AcidGene Expression ProfilingGene Expression Regulation, PlantGibberellinsIndoleacetic AcidsPlant Growth RegulatorsPlant ProteinsProtein Interaction MapsAbscisic Acidgibberellic acidGibberellinsindoleacetic acidIndoleacetic AcidsPlant Growth RegulatorsPlant Proteinsendogenous hormonesmorphogenesisoxidoreductasesRNA-seqtemporal dynamics

Identifiers

PMID40806399
PMCPMC12347477

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.