Beatriz E. Moreno-García
Researcher
Unknown Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Beatriz E. Moreno-García's research focuses on plant physiology and biochemistry, specifically investigating metabolic processes within plant cells. Her work examines the dynamics of energy metabolites like ATP and NADPH in chloroplasts and mitochondria, particularly under conditions of darkness. She has investigated how suppressing metabolite shuttles affects the cytosolic NADH:NAD+ ratio in tobacco leaves and has explored the biochemical underpinnings of C3 photosynthesis in crop plants. Moreno-García has also contributed to studies on improving CO2 assimilation and biomass in plants through the overexpression of specific enzymes. Her research network includes collaborators such as Rongyun Tang and Benjamin R. K. Runkle from the University of Arkansas at Fayetteville. With a career h-index of 3 and 150 total citations across 7 publications, her recent work extends to hydrological and methane modeling in rice systems, indicating a breadth of inquiry into agricultural science.
Metrics
- h-index: 3
- Publications: 7
- Citations: 150
Selected Publications
-
Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems (2026)
Collaboration Network
Top Collaborators
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
- Depth-dependent hydrological and substrate dynamics enhance methane modeling and inform water management in rice systems
Similar Researchers
Based on overlapping research topics