What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Psychiatry
- Disease
Pathology, Diffusion MRI, Fractional anisotropy, Neuroscience and Nuclear medicine are his primary areas of study.
His study in Dementia and Fabry disease is carried out as part of his studies in Pathology.
His Dementia research incorporates themes from Alzheimer's disease, Positron emission tomography and Central nervous system disease.
Fractional anisotropy is a primary field of his research addressed under White matter.
In his work, Protocol and Segmentation is strongly intertwined with Magnetic resonance imaging, which is a subfield of Neuroscience.
His Nuclear medicine research focuses on subjects like Neuroimaging, which are linked to Reproducibility.
His most cited work include:
- Ultrastructural hippocampal and white matter alterations in mild cognitive impairment: a diffusion tensor imaging study. (271 citations)
- Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment. (205 citations)
- Functional implications of hippocampal volume and diffusivity in mild cognitive impairment (163 citations)
What are the main themes of his work throughout his whole career to date?
Andreas Fellgiebel focuses on Neuroscience, Dementia, Diffusion MRI, Internal medicine and Pathology.
The Neuroscience study combines topics in areas such as Disease and Atrophy.
His Dementia research includes themes of Alzheimer's disease, Positron emission tomography and Cognition.
He has researched Diffusion MRI in several fields, including Voxel, Nuclear medicine and Cognitive impairment.
His Internal medicine study integrates concerns from other disciplines, such as Gastroenterology, Endocrinology and Cardiology.
His study looks at the relationship between Pathology and fields such as Magnetic resonance imaging, as well as how they intersect with chemical problems.
He most often published in these fields:
- Neuroscience (28.11%)
- Dementia (26.49%)
- Diffusion MRI (22.70%)
What were the highlights of his more recent work (between 2017-2021)?
- Dementia (26.49%)
- Cognition (11.35%)
- Cognitive decline (7.57%)
In recent papers he was focusing on the following fields of study:
Andreas Fellgiebel mainly focuses on Dementia, Cognition, Cognitive decline, Internal medicine and Disease.
Andreas Fellgiebel does research in Dementia, focusing on Caregiver burden specifically.
His Cognition research is multidisciplinary, incorporating elements of White matter and Audiology.
His biological study spans a wide range of topics, including Psychological resilience and Neuropsychology.
Andreas Fellgiebel works mostly in the field of Cognitive decline, limiting it down to concerns involving Gerontology and, occasionally, Amyloid β, Clinical Dementia Rating and Neuroimaging.
His work on Apathy, Risk stratification and Cohort study as part of general Internal medicine study is frequently linked to Bupropion, therefore connecting diverse disciplines of science.
Between 2017 and 2021, his most popular works were:
- NrCAM is a marker for substrate-selective activation of ADAM10 in Alzheimer's disease. (14 citations)
- Preventable hospitalizations among older patients with cognitive impairments and dementia. (10 citations)
- Hausärztliche Demenzdiagnostik – Einstellungen, Vorgehensweisen und Herausforderungen von Hausärzten in Rheinland-Pfalz (10 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Psychiatry
- Disease
His main research concerns Cognition, ADAM10, Acitretin, Dementia diagnosis and Gynecology.
His studies deal with areas such as Clinical endpoint and Activities of daily living as well as Cognition.
His ADAM10 study spans across into fields like Alzheimer's disease, Immune system, Central nervous system, Blood–brain barrier and Neurogenesis.
Combining a variety of fields, including Acitretin, Retinoid, Pharmacology, Cleavage, Chemistry and Neurite, are what the author presents in his essays.
His research on Dementia diagnosis often connects related areas such as Early detection.
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