What is he best known for?
The fields of study he is best known for:
- Enzyme
- Internal medicine
- Gene
Daniel Raftery mainly investigates Metabolomics, Nuclear magnetic resonance spectroscopy, Metabolite, Nuclear magnetic resonance and Metabolome.
His Metabolomics study combines topics from a wide range of disciplines, such as Internal medicine, Biochemistry, Computational biology and Mass spectrometry.
His Internal medicine research incorporates themes from Serum samples, Endocrinology, Oncology and Pathology.
His Nuclear magnetic resonance spectroscopy research is multidisciplinary, relying on both Resolution, Analytical chemistry, Carbon-13 NMR and Nanotechnology.
His Metabolite study integrates concerns from other disciplines, such as Alzheimer's disease, Proanthocyanidin, Innate lymphoid cell and Lactobacillus jensenii.
Daniel Raftery interconnects Embryonic stem cell, Wnt signaling pathway, Cell type and Cellular differentiation in the investigation of issues within Metabolome.
His most cited work include:
- Visible Light Driven V-Doped TiO2 Photocatalyst and Its Photooxidation of Ethanol (472 citations)
- Vibrational Relaxation Dynamics in Solutions (410 citations)
- Metabolomics-based methods for early disease diagnostics. (394 citations)
What are the main themes of his work throughout his whole career to date?
Daniel Raftery focuses on Metabolomics, Metabolite, Internal medicine, Nuclear magnetic resonance spectroscopy and Analytical chemistry.
His Metabolomics study incorporates themes from Colorectal cancer, Computational biology and Mass spectrometry.
He does research in Metabolite, focusing on Metabolome specifically.
His Internal medicine research includes themes of Gastroenterology, Endocrinology and Oncology.
Daniel Raftery combines subjects such as Proton NMR and Resolution with his study of Nuclear magnetic resonance spectroscopy.
Daniel Raftery has researched Analytical chemistry in several fields, including Photocatalysis and Xenon.
He most often published in these fields:
- Metabolomics (58.84%)
- Metabolite (34.09%)
- Internal medicine (30.30%)
What were the highlights of his more recent work (between 2018-2021)?
- Metabolomics (58.84%)
- Metabolite (34.09%)
- Internal medicine (30.30%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Metabolomics, Metabolite, Internal medicine, Computational biology and Endocrinology.
His work deals with themes such as Nuclear magnetic resonance spectroscopy, Metabolic pathway and Mass spectrometry, which intersect with Metabolomics.
His Nuclear magnetic resonance spectroscopy research is multidisciplinary, incorporating perspectives in Whole blood, Sample preparation and Protein precipitation.
His biological study spans a wide range of topics, including Immunosuppression and Kynurenine.
His Internal medicine study combines topics in areas such as Gastroenterology and Oncology.
His Computational biology research includes elements of Partial least squares regression and Biomarker discovery.
Between 2018 and 2021, his most popular works were:
- NMR Spectroscopy for Metabolomics Research. (145 citations)
- Towards quality assurance and quality control in untargeted metabolomics studies. (41 citations)
- Breast cancer detection using targeted plasma metabolomics. (31 citations)
In his most recent research, the most cited papers focused on:
- Enzyme
- Internal medicine
- Gene
His scientific interests lie mostly in Metabolomics, Mass spectrometry, Metabolite, Internal medicine and Tandem mass spectrometry.
Particularly relevant to Metabolome is his body of work in Metabolomics.
His research investigates the connection between Metabolome and topics such as Regulation of gene expression that intersect with issues in Metabolic pathway.
The various areas that Daniel Raftery examines in his Metabolite study include Refined grains, Creatine, Tryptophan, Kynurenine and Glutamine.
His research integrates issues of Endocrinology and Mannose in his study of Internal medicine.
His Tandem mass spectrometry research integrates issues from Computational chemistry, Fragmentation, Electrospray ionization and Chemical composition.
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