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OverviewAI-generated summary
Sakda Khoomrung's research centers on the application of advanced analytical techniques, including gas chromatography-mass spectrometry (GC-MS) and ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MRM/MS), for metabolomics studies. His work investigates metabolic profiles in various contexts, such as identifying urinary biomarkers for conditions like lupus membranous nephritis and analyzing plasma sugars and sugar alcohols in diabetic mellitus patients with kidney failure. Khoomrung also explores the potential of natural compounds, such as procyanidin condensed tannins from Mitragyna speciosa, as virucidal agents against SARS-CoV-2.
Further contributions include the development and application of computational methods, specifically deep learning, to analyze multi-data type information for predictive biomarker discovery in cancer precision medicine. He has also published on chloroplast genomic annotation and has experience with data processing solutions for metabolomics, demonstrated by his work with Metabox 2.0. Khoomrung collaborates with researchers at the University of Arkansas for Medical Sciences, including Alongkorn Kurilung, Intawat Nookaew, Thidathip Wongsurawat, and Piroon Jenjaroenpun.
His scholarly output includes 75 publications and 2,171 citations, with an h-index of 23, designating him as a highly cited researcher. Khoomrung maintains an active lab website to showcase his research activities.
Metrics
- h-index: 23
- Publications: 75
- Citations: 2,171
Selected Publications
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LC-QTOF-MS <sup>E</sup> with MS <sup>1</sup> -based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis (2025)
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- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
- LC-QTOF-MSE with MS1-based precursor ion quantification and SiMD-assisted identification enhances human urine metabolite analysis
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