ArticleMetabolites2020
Network Analysis Provides Insight into Tomato Lipid Metabolism.
Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- Genetic architecture of the tomato fruit lipidome.PNAS nexus · 2026Article
- Integrated Transcriptomic and Metabolomic Insights into Flavor-Related Metabolism in Grape Berries Across Cultivars and Developmental Stages.Metabolites · 2025Article
- Sea Fennel (Molecules (Basel, Switzerland) · 2023Review
- Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites.BMC biology · 2022Article
- Identification, Classification, and Expression Analysis of theInternational journal of molecular sciences · 2021Article
- Special Issue on "Fruit Metabolism and Metabolomics".Metabolites · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic correlation networks have been used in several instances to obtain a deeper insight into the complexity of plant metabolism as a whole. In tomato (
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What OpenQuestion holds
Registered trials
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.