What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Alzheimer's disease
- Neuroscience
His main research concerns Neuroscience, Internal medicine, Alzheimer's disease, Working memory and Positron emission tomography.
His Internal medicine study incorporates themes from Endocrinology and Pathology.
His studies deal with areas such as Endogenous opioid and Opioid as well as Endocrinology.
The Alzheimer's disease study combines topics in areas such as Cognition, Dementia and Neuroimaging.
His Working memory research includes elements of Brain activation, Cognitive psychology, Prefrontal cortex and Behavioral study.
Robert A. Koeppe has included themes like Flumazenil and Amyloid in his Positron emission tomography study.
His most cited work include:
- Consensus nomenclature for in vivo imaging of reversibly binding radioligands (1571 citations)
- Spatial working memory in humans as revealed by PET (1038 citations)
- COMT val158met Genotype Affects µ-Opioid Neurotransmitter Responses to a Pain Stressor (977 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Internal medicine, Neuroscience, Positron emission tomography, Endocrinology and Pathology.
His study ties his expertise on Cardiology together with the subject of Internal medicine.
His work on Neuroscience deals in particular with Dopaminergic and Amygdala.
Robert A. Koeppe works mostly in the field of Positron emission tomography, limiting it down to concerns involving Human brain and, occasionally, In vivo.
Endocrinology connects with themes related to Thalamus in his study.
His study looks at the relationship between Alzheimer's disease and fields such as Neuroimaging, as well as how they intersect with chemical problems.
He most often published in these fields:
- Internal medicine (30.04%)
- Neuroscience (21.43%)
- Positron emission tomography (20.59%)
What were the highlights of his more recent work (between 2013-2021)?
- Internal medicine (30.04%)
- Disease (12.61%)
- Neuroscience (21.43%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Internal medicine, Disease, Neuroscience, Positron emission tomography and Neuroimaging.
Robert A. Koeppe has researched Internal medicine in several fields, including Endocrinology, Cognition, Oncology and Cardiology.
His Neuroscience research is multidisciplinary, incorporating perspectives in Migraine and Monoaminergic.
His Positron emission tomography research is multidisciplinary, relying on both Molecular imaging, Pittsburgh compound B and Florbetaben.
His Neuroimaging study combines topics from a wide range of disciplines, such as Alzheimer's disease, White matter and Artificial intelligence.
His Alzheimer's disease study which covers Nuclear medicine that intersects with Biodistribution and In vivo.
Between 2013 and 2021, his most popular works were:
- Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis (450 citations)
- The Centiloid Project: Standardizing quantitative amyloid plaque estimation by PET (273 citations)
- Measurement of Longitudinal β-Amyloid Change with 18F-Florbetapir PET and Standardized Uptake Value Ratios (165 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Alzheimer's disease
- Disease
Robert A. Koeppe spends much of his time researching Internal medicine, Alzheimer's disease, Neuroimaging, Pathology and Neuroscience.
His Internal medicine study integrates concerns from other disciplines, such as Endocrinology and Cardiology.
His studies deal with areas such as Pittsburgh compound B, Schizophrenia and Mood as well as Endocrinology.
His Alzheimer's disease research is multidisciplinary, incorporating perspectives in Biomarker, Positron emission tomography, Standardized uptake value and Dementia.
His Positron emission tomography research is included under the broader classification of Nuclear medicine.
Robert A. Koeppe combines subjects such as Cognition, Disease, Machine learning, Voxel and Brain mapping with his study of Neuroimaging.
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