ReviewFrontiers in plant science2016
Modeling Rice Metabolism: From Elucidating Environmental Effects on Cellular Phenotype to Guiding Crop Improvement.
Review in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Hyperspectral imaging-based early stress and disease detection for sustainable crop management.Planta · 2026Review
- Innovative metabolic reprogramming in rice: unlocking drought resilience through microbial consortia interaction and sustainable agriculture.3 Biotech · 2025Review
- Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.Scientific reports · 2024Article
- Article
- Over-Expression of Dehydroascorbate Reductase Improves Salt Tolerance, Environmental Adaptability and Productivity inAntioxidants (Basel, Switzerland) · 2022Article
- Exploring synergies between plant metabolic modelling and machine learning.Computational and structural biotechnology journal · 2022Review
- Omics and CRISPR-Cas9 Approaches for Molecular Insight, Functional Gene Analysis, and Stress Tolerance Development in Crops.International journal of molecular sciences · 2021Review
- Crops for Carbon Farming.Frontiers in plant science · 2021Article
- Deciphering rice metabolic flux reprograming under salinity stress viaComputational and structural biotechnology journal · 2020Article
- Global analysis of threonine metabolism genes unravel key players in rice to improve the abiotic stress tolerance.Scientific reports · 2018Article
- A Versatile Vector Toolkit for Functional Analysis of Rice Genes.Rice (New York, N.Y.) · 2018Article
- Metabolomics and Integrative Omics for the Development of Thai Traditional Medicine.Frontiers in pharmacology · 2017Review
- Reconstruction ofFrontiers in plant science · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Crop productivity is severely limited by various biotic and abiotic stresses. Thus, it is highly needed to understand the underlying mechanisms of environmental stress response and tolerance in plants, which could be addressed by systems biology approach. To this end, high-throughput omics profiling and
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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.