What is he best known for?
The fields of study he is best known for:
- Enzyme
- Gene
- Organic chemistry
His primary scientific interests are in Bioavailability, Chromatography, Food science, Nutraceutical and Pharmacology.
His Bioavailability study combines topics in areas such as Chemical decomposition, Micelle, Carotene, Curcumin and Carrier oil.
His Chromatography research incorporates elements of Lipid digestion, Carotenoid, Chemical engineering, Chemical stability and Lipid droplet.
In his study, Food composition data is inextricably linked to Excipient, which falls within the broad field of Food science.
His study in Pharmacology is interdisciplinary in nature, drawing from both Cancer cell, Internal medicine, Biochemistry and In vivo.
His biological study deals with issues like Apoptosis, which deal with fields such as Molecular biology.
His most cited work include:
- Nanoemulsion- and emulsion-based delivery systems for curcumin: Encapsulation and release properties (321 citations)
- Nanoemulsion delivery systems: influence of carrier oil on β-carotene bioaccessibility. (305 citations)
- Physical and chemical stability of β-carotene-enriched nanoemulsions: Influence of pH, ionic strength, temperature, and emulsifier type. (303 citations)
What are the main themes of his work throughout his whole career to date?
Hang Xiao mostly deals with Food science, Pharmacology, Biochemistry, Internal medicine and Chromatography.
In most of his Food science studies, his work intersects topics such as Bioavailability.
His Bioavailability study incorporates themes from Micelle, Excipient, Lipid digestion, Carotenoid and Curcumin.
His research in Pharmacology intersects with topics in Metabolite, Apoptosis and Inflammation.
As part of one scientific family, Hang Xiao deals mainly with the area of Apoptosis, narrowing it down to issues related to the Carcinogenesis, and often Cancer research.
His work deals with themes such as Emulsion and Chemical engineering, which intersect with Chromatography.
He most often published in these fields:
- Food science (13.18%)
- Pharmacology (13.33%)
- Biochemistry (11.82%)
What were the highlights of his more recent work (between 2019-2021)?
- Food science (13.18%)
- Gut flora (4.39%)
- Environmental chemistry (5.45%)
In recent papers he was focusing on the following fields of study:
Hang Xiao spends much of his time researching Food science, Gut flora, Environmental chemistry, Pharmacology and Chemical engineering.
The various areas that Hang Xiao examines in his Food science study include Lipid digestion, Small intestine and Bioavailability.
His Pharmacology study which covers Metabolite that intersects with Apoptosis.
His Apoptosis research includes themes of Colorectal cancer, Cell growth and Cancer research.
His biological study spans a wide range of topics, including Catalysis and Metal-organic framework.
His studies in Monolayer integrate themes in fields like Chromatography and Lipid droplet.
Between 2019 and 2021, his most popular works were:
- Sorbents for the Direct Capture of CO2 from Ambient Air. (47 citations)
- Progress in microencapsulation of probiotics: A review. (27 citations)
- Impact of quarantine measures on chemical compositions of PM2.5 during the COVID-19 epidemic in Shanghai, China. (21 citations)
In his most recent research, the most cited papers focused on:
- Enzyme
- Gene
- Organic chemistry
His primary areas of investigation include Food science, Gut flora, Dysbiosis, Pharmacology and Colorectal cancer.
Hang Xiao has included themes like Lipid digestion, Small intestine and Bioavailability in his Food science study.
His Pharmacology study incorporates themes from Food allergy, Allergy, Glycation and Immunotherapy.
The various areas that Hang Xiao examines in his Colorectal cancer study include Colitis, Apoptosis, Fruit extracts, Traditional medicine and Polyphenol.
His research in Apoptosis intersects with topics in Curcumin, Cell culture, 5-demethylnobiletin and Flavonoid.
His biological study deals with issues like Chemical decomposition, which deal with fields such as Chromatography.
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.
