Area of research
Molecular Biology · Cancer Research
Research interest
Research interests include Mitochondrial Function and Pathology, Cancer, Hypoxia, and Metabolism, Parathyroid Disorders and Treatments, and Genetic and Kidney Cyst Diseases.
A multicenter external validation of Lung-PNet: Classification of pure ground-glass nodules into invasive adenocarcinoma and non-invasive subtypes on chest CT images
Glycerol-3-phosphate contributes to the increase in FGF23 production in chronic kidney disease
Metabolite profiling of CKD progression in the chronic renal insufficiency cohort study
Glycerol-3-phosphate is an FGF23 regulator derived from the injured kidney
Aneuploidy increases resistance to chemotherapeutics by antagonizing cell division
Enhancing chemotherapy response through augmented synthetic lethality by co-targeting nucleotide excision repair and cell-cycle checkpoints
DNA Intercalation Facilitates Efficient DNA-Targeted Covalent Binding of Phenanthriplatin
Growth Pattern of Kidney Cyst Number and Volume in Autosomal Dominant Polycystic Kidney Disease
Urine Osmolality, Response to Tolvaptan, and Outcome in Autosomal Dominant Polycystic Kidney Disease: Results from the TEMPO 3:4 Trial
Prognostic Enrichment Design in Clinical Trials for Autosomal Dominant Polycystic Kidney Disease: The TEMPO 3:4 Clinical Trial
Oroxylin A Inhibits Allergic Airway Inflammation in Ovalbumin (OVA)-Induced Asthma Murine Model
Tolvaptan suppresses monocyte chemotactic protein-1 excretion in autosomal-dominant polycystic kidney disease
Activation of the epithelial Na+ channel triggers prostaglandin E2 release and production required for embryo implantation
Collaborative Research: Statistical Modeling and Inference on Directed Network Data for Understanding Faculty Hiring Dynamics
2017 Graybill Conference on Statistical Genomics and Genetics
BIGDATA: Collaborative Research: F: IA: Statistical Learning for Big Data with Random Projections
Collaborative Research: EAGER:Studying lignocellulosic fine structure and its dynamics in enzymatic hydrolysis of biomass using molecule-recognizing AFM and computational modeling