Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.6field-weighted citation impact, top 8% 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
2 citing papers in PubMed, 9 citations in OpenAlex.
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 at 4 institutions in 1 country.
Ke-Ke FuZhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-8959-628X
Junhao LiangKey Laboratory of Northwest Loess Plateau Crop Pest Management of Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China.ORCID 0000-0001-5134-0214
Wei WanShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
Xiangfeng JingKey Laboratory of Northwest Loess Plateau Crop Pest Management of Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China.
Hongjie FengZhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China.
Yanling CaiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0003-4970-1740
Shaoqun ZhouShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0002-3643-7875
Agricultural Genomics Institute at Shenzhen · CNMinistry of Agriculture and Rural Affairs · CNZhengzhou University · CNSouthwest University · CN
Funding
Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences CAAS-ASTIPIncubation Project of Excellent Science & Technology Talents of Shenzhen RCBS20200714114918029Key Research Area Plan of Guangdong 2021B0707010005National Natural Science Foundation of China 32070506
6 · The paper itself
Abstract
Plant triterpenoids play a critical role in plant resistance against
Indexed as
phytosterolspotato late blighttomato late blight quantitative disease resistancetriterpenoids
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.