What is he best known for?
The fields of study he is best known for:
- Magnetic resonance imaging
- Internal medicine
- Neuroscience
His scientific interests lie mostly in White matter, Diffusion MRI, Fractional anisotropy, Magnetic resonance imaging and Brain mapping.
His White matter research includes elements of Developmental psychology, Cognition and Audiology.
The study incorporates disciplines such as Wechsler Adult Intelligence Scale, Intelligence quotient and Pathology in addition to Audiology.
His Magnetic resonance imaging research includes themes of Cartilage and Nuclear magnetic resonance.
His Brain mapping research is under the purview of Neuroscience.
His Neuroscience research incorporates elements of Brain magnetic resonance imaging and Artificial intelligence.
His most cited work include:
- Sirolimus for Angiomyolipoma in Tuberous Sclerosis Complex or Lymphangioleiomyomatosis (932 citations)
- Correlation of White Matter Diffusivity and Anisotropy with Age during Childhood and Adolescence: A Cross-sectional Diffusion-Tensor MR Imaging Study (375 citations)
- Cognitive functions correlate with white matter architecture in a normal pediatric population: A diffusion tensor MRI study (320 citations)
What are the main themes of his work throughout his whole career to date?
Vincent J. Schmithorst spends much of his time researching Magnetic resonance imaging, Neuroscience, Functional magnetic resonance imaging, Audiology and Cognition.
His research in Magnetic resonance imaging intersects with topics in Cardiology, Pathology, Nuclear magnetic resonance, Brain mapping and Pattern recognition.
In his research on the topic of Neuroscience, Corpus callosum is strongly related with White matter.
His Audiology research is multidisciplinary, incorporating elements of Frontal lobe and Language development.
His studies deal with areas such as Fractional anisotropy and Diffusion MRI as well as Cognition.
Vincent J. Schmithorst works mostly in the field of Fractional anisotropy, limiting it down to concerns involving Internal capsule and, occasionally, Corticospinal tract.
He most often published in these fields:
- Magnetic resonance imaging (28.74%)
- Neuroscience (24.14%)
- Functional magnetic resonance imaging (22.99%)
What were the highlights of his more recent work (between 2013-2021)?
- Resting state fMRI (8.05%)
- Internal medicine (10.34%)
- Neuroscience (24.14%)
In recent papers he was focusing on the following fields of study:
Vincent J. Schmithorst mainly investigates Resting state fMRI, Internal medicine, Neuroscience, Heart disease and Cardiology.
The concepts of his Neuroscience study are interwoven with issues in Longitudinal study and Autism.
The Heart disease study combines topics in areas such as Hemodynamics, Diffusion MRI and Mediation.
Vincent J. Schmithorst interconnects Magnetic resonance imaging and Vascularity, Surgery in the investigation of issues within Cardiology.
His Magnetic resonance imaging research includes elements of Functional imaging, Narrative comprehension, Nuclear medicine and Brain mapping.
His studies in Cognition integrate themes in fields like White matter, Dysplasia, Human brain and Premovement neuronal activity.
Between 2013 and 2021, his most popular works were:
- Relationship of white matter network topology and cognitive outcome in adolescents with d-transposition of the great arteries (41 citations)
- Unilateral deafness in children affects development of multi-modal modulation and default mode networks (40 citations)
- Evidence that neurovascular coupling underlying the BOLD effect increases with age during childhood (28 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Neuroscience
The scientist’s investigation covers issues in Neuroscience, Magnetic resonance imaging, Cerebral blood flow, Cognition and Cardiology.
The various areas that he examines in his Neuroscience study include Unilateral hearing loss and Monaural.
His Magnetic resonance imaging research is multidisciplinary, incorporating elements of Functional imaging, Artificial intelligence, Brain mapping and Pattern recognition.
His Cognition study incorporates themes from White matter, Fractional anisotropy and Heart disease.
He has included themes like Internal medicine and Surgery in his Cardiology study.
His Internal medicine research incorporates themes from Region of interest, Effective diffusion coefficient and Diffusion MRI.
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