What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Botany, Horticulture, Poaceae, Agronomy and Poa pratensis.
Bingru Huang has included themes like Superoxide dismutase and Catalase in his Botany study.
His research in Poaceae intersects with topics in Dry weight, Cultivar, Nutrient and Drought tolerance.
His study in Agronomy is interdisciplinary in nature, drawing from both Soil water and Soil horizon.
The study incorporates disciplines such as Food science, Cynodon dactylon and Physiological condition in addition to Poa pratensis.
His studies in Photosynthesis integrate themes in fields like Perennial plant and Canopy.
His most cited work include:
- Mechanism of Salinity Tolerance in Plants: Physiological, Biochemical, and Molecular Characterization (744 citations)
- Involvement of antioxidants and lipid peroxidation in the adaptation of two cool-season grasses to localized drought stress (431 citations)
- Heat Stress Injury in Relation to Membrane Lipid Peroxidation in Creeping Bentgrass (341 citations)
What are the main themes of his work throughout his whole career to date?
Bingru Huang focuses on Botany, Agronomy, Horticulture, Agrostis stolonifera and Drought tolerance.
His Botany and Poaceae, Shoot, Agrostis, Photosynthesis and Perennial plant investigations all form part of his Botany research activities.
Bingru Huang combines subjects such as Soil water and Animal science with his study of Agronomy.
His Horticulture research incorporates themes from Superoxide dismutase, Catalase, APX and Festuca arundinacea.
His Agrostis stolonifera study incorporates themes from Water use and Cytokinin.
His Drought tolerance study which covers Abscisic acid that intersects with Cell biology.
He most often published in these fields:
- Botany (48.74%)
- Agronomy (28.88%)
- Horticulture (27.80%)
What were the highlights of his more recent work (between 2015-2021)?
- Botany (48.74%)
- Cell biology (7.94%)
- Perennial plant (15.52%)
In recent papers he was focusing on the following fields of study:
Bingru Huang spends much of his time researching Botany, Cell biology, Perennial plant, Drought tolerance and Horticulture.
Bingru Huang has researched Botany in several fields, including Senescence, Cytokinin and Abscisic acid.
His Cytokinin study combines topics in areas such as Melatonin, Reactive oxygen species, Superoxide dismutase and Catalase.
His studies deal with areas such as Photosynthesis and Gene, Metabolic pathway as well as Perennial plant.
His study on Drought tolerance is covered under Agronomy.
The various areas that Bingru Huang examines in his Horticulture study include Agrostis stolonifera, Antioxidant and APX.
Between 2015 and 2021, his most popular works were:
- Melatonin suppression of heat-induced leaf senescence involves changes in abscisic acid and cytokinin biosynthesis and signaling pathways in perennial ryegrass (Lolium perenne L.) (91 citations)
- Metabolic pathways regulated by abscisic acid, salicylic acid and γ-aminobutyric acid in association with improved drought tolerance in creeping bentgrass (Agrostis stolonifera). (78 citations)
- Metabolic pathways regulated by γ-aminobutyric acid (GABA) contributing to heat tolerance in creeping bentgrass (Agrostis stolonifera). (71 citations)
In his most recent research, the most cited papers focused on:
Botany, Cell biology, Chlorophyll, Cytokinin and Arabidopsis are his primary areas of study.
His biological study spans a wide range of topics, including Senescence and Gene.
His Cell biology research is multidisciplinary, relying on both Abscisic acid, Transcription factor, Transcriptional regulation, Plant physiology and Drought tolerance.
His Drought tolerance study introduces a deeper knowledge of Agronomy.
His Chlorophyll research is multidisciplinary, incorporating elements of Superoxide dismutase, Catalase, Antioxidant and Reactive oxygen species.
He interconnects Expansin, Osmotic shock, Horticulture and Priming in the investigation of issues within Festuca arundinacea.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
