ReviewFrontiers in plant science2018
Gene Discovery of Characteristic Metabolic Pathways in the Tea Plant (
Review in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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
18 citing papers in PubMed, 38 citations in OpenAlex.
- Integrated Transcriptomic and Metabolomic Analysis Reveals Metabolic Heterosis in Hybrid Tea Plants (Genes · 2025Article
- Effects of Altitude on Tea Composition: Dual Regulation by Soil Physicochemical Properties and Microbial Communities.Plants (Basel, Switzerland) · 2025Article
- Genome-wide identification of F-box-LRR gene family and the functional analysis of CsFBXL13 transcription factor in tea plants.Functional & integrative genomics · 2025Article
- Integrative omics approaches for biosynthetic pathway discovery in plants.Natural product reports · 2022Review
- Identification of Pueraria spp. through DNA barcoding and comparative transcriptomics.BMC plant biology · 2022Article
- Chemical Variation of Chenpi (Citrus Peels) and Corresponding Correlated Bioactive Compounds by LC-MS Metabolomics and Multibioassay Analysis.Frontiers in nutrition · 2022Article
- United States tea: A synopsis of ongoing tea research and solutions to United States tea production issues.Frontiers in plant science · 2022Review
- Pan-transcriptome assembly combined with multiple association analysis provides new insights into the regulatory network of specialized metabolites in the tea plantHorticulture research · 2022Article
- An Integrated Metabolome and Transcriptome Analysis Reveal the Regulation Mechanisms of Flavonoid Biosynthesis in a Purple Tea Plant Cultivar.Frontiers in plant science · 2022Article
- Correlation among Metabolic Changes in Tea PlantMolecules (Basel, Switzerland) · 2021Article
- Article
- TeaCoN: a database of gene co-expression network for tea plant (Camellia sinensis).BMC genomics · 2020Article
- Transcriptomic and metabolomic analyses reveal several critical metabolic pathways and candidate genes involved in resin biosynthesis in Pinus massoniana.Molecular genetics and genomics : MGG · 2020Article
- From Chloroplast Biogenesis to Chlorophyll Accumulation: The Interplay of Light and Hormones on Gene Expression inFrontiers in plant science · 2020Article
- Time-series transcriptomic analysis reveals novel gene modules that control theanine biosynthesis in tea plant (Camellia sinensis).PloS one · 2020Article
- A predicted protein functional network aids in novel gene mining for characteristic secondary metabolites in tea plantJournal of biosciences · 2020Article
- Article
- Organ-Specific Analysis ofInternational journal of molecular sciences · 2019Article
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 at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Characteristic secondary metabolites, including flavonoids, theanine and caffeine, in the tea plant (
Indexed as
Identifiers
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.