What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Magnetic resonance imaging
- Neuroscience
His primary areas of investigation include Epilepsy, Magnetic resonance imaging, Neuroscience, Pathology and Central nervous system disease.
The Epilepsy study combines topics in areas such as Anesthesia, Pediatrics and Electroencephalography.
His Magnetic resonance imaging research integrates issues from Internal medicine, Nuclear medicine and Cardiology.
The various areas that David C. Reutens examines in his Neuroscience study include Psychosis and Schizophrenia.
His Pathology research is multidisciplinary, incorporating perspectives in Stroke, Brain ischemia, Human brain and Ligand.
His Temporal lobe study incorporates themes from Hypersexuality, Lateralization of brain function and Amygdala.
His most cited work include:
- Apoptotic Mechanisms After Cerebral Ischemia (837 citations)
- Research Review: Williams syndrome: a critical review of the cognitive, behavioral, and neuroanatomical phenotype. (311 citations)
- Regional Cerebral Blood Flow Changes as a Function of Delta and Spindle Activity during Slow Wave Sleep in Humans (306 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Epilepsy, Magnetic resonance imaging, Internal medicine and Temporal lobe.
His Epilepsy research integrates issues from Anesthesia, Central nervous system disease, Pediatrics and Electroencephalography.
His work deals with themes such as Nuclear medicine, Nuclear magnetic resonance, Anatomy and Pathology, which intersect with Magnetic resonance imaging.
His studies in Internal medicine integrate themes in fields like Endocrinology and Cardiology.
The concepts of his Temporal lobe study are interwoven with issues in Lateralization of brain function and Hippocampus.
His Corpus callosum research includes themes of Psychiatry, Schizophrenia, Audiology and Splenium.
He most often published in these fields:
- Neuroscience (21.99%)
- Epilepsy (19.68%)
- Magnetic resonance imaging (17.13%)
What were the highlights of his more recent work (between 2016-2021)?
- Nuclear magnetic resonance (9.03%)
- Magnetic resonance imaging (17.13%)
- Epilepsy (19.68%)
In recent papers he was focusing on the following fields of study:
David C. Reutens focuses on Nuclear magnetic resonance, Magnetic resonance imaging, Epilepsy, Cognitive psychology and Artificial intelligence.
He works mostly in the field of Nuclear magnetic resonance, limiting it down to concerns involving Voxel and, occasionally, Compartment, Fornix, Corpus callosum and Human brain.
His White matter study in the realm of Magnetic resonance imaging interacts with subjects such as Monopole antenna.
His Epilepsy study introduces a deeper knowledge of Neuroscience.
His work focuses on many connections between Artificial intelligence and other disciplines, such as Pattern recognition, that overlap with his field of interest in Range, Random forest, Temporal resolution and Multivariate statistics.
David C. Reutens works mostly in the field of Electroencephalography, limiting it down to topics relating to Sudden death and, in certain cases, Anesthesia.
Between 2016 and 2021, his most popular works were:
- The 2018 correlative microscopy techniques roadmap. (46 citations)
- Cross-ethnic meta-analysis identifies association of the GPX3-TNIP1 locus with amyotrophic lateral sclerosis (43 citations)
- Echo time‐dependent quantitative susceptibility mapping contains information on tissue properties (32 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Neuroscience
David C. Reutens mostly deals with Epilepsy, Neuroscience, Magnetic resonance imaging, Nuclear magnetic resonance and Default mode network.
He works in the field of Epilepsy, namely Epileptogenesis.
His research in Magnetic resonance imaging intersects with topics in Orientation, Encoding and Sample.
The Nuclear magnetic resonance study combines topics in areas such as Tractography, Voxel, Radiology, Axon and Quantitative susceptibility mapping.
His work focuses on many connections between Voxel and other disciplines, such as Human brain, that overlap with his field of interest in Corpus callosum and Fornix.
His work carried out in the field of Default mode network brings together such families of science as Context and Fear conditioning.
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