What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Magnetic resonance imaging
Neil Roberts focuses on Neuroscience, Temporal lobe, Cognitive psychology, Recognition memory and Voxel-based morphometry.
His work is connected to Functional magnetic resonance imaging, Frontal lobe, Laterality, Lateralization of brain function and Inferior frontal gyrus, as a part of Neuroscience.
In his research, Hippocampal formation, White matter, Epilepsy, Brain morphometry and Hippocampal sclerosis is intimately related to Hippocampus, which falls under the overarching field of Temporal lobe.
His biological study spans a wide range of topics, including Gyrus, Perception and Auditory cortex.
The study incorporates disciplines such as Recall, Amnesia and Episodic memory in addition to Recognition memory.
His Voxel-based morphometry research is multidisciplinary, relying on both Voxel, Prefrontal cortex and Brain mapping.
His most cited work include:
- Vicarious responses to pain in anterior cingulate cortex: is empathy a multisensory issue? (390 citations)
- The neural system that mediates familiarity memory. (338 citations)
- fMRI of thermal pain: effects of stimulus laterality and attention. (336 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Magnetic resonance imaging, Anatomy, Cognitive psychology and Temporal lobe.
His work in Episodic memory, Functional magnetic resonance imaging, Prefrontal cortex, Human brain and Frontal lobe is related to Neuroscience.
His Episodic memory research is multidisciplinary, incorporating elements of Recall and Semantic memory.
His studies deal with areas such as Recognition memory and Amnesia as well as Recall.
In his work, Nuclear medicine is strongly intertwined with Stereology, which is a subfield of Magnetic resonance imaging.
His Temporal lobe research incorporates themes from Hippocampal formation, Hippocampus and Voxel-based morphometry.
He most often published in these fields:
- Neuroscience (23.62%)
- Magnetic resonance imaging (14.56%)
- Anatomy (13.59%)
What were the highlights of his more recent work (between 2011-2021)?
- Neuroscience (23.62%)
- Magnetic resonance elastography (4.53%)
- Magnetic resonance imaging (14.56%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Neuroscience, Magnetic resonance elastography, Magnetic resonance imaging, White matter and Anatomy.
His Neuroscience study frequently draws connections to adjacent fields such as Schizophrenia.
His Magnetic resonance elastography research integrates issues from Subcortical gray matter, Stiffness, Nuclear magnetic resonance and Biomedical engineering.
The concepts of his Magnetic resonance imaging study are interwoven with issues in Pregnancy, Fetus, Gestational age, Cerebrospinal fluid and Stereology.
His White matter study incorporates themes from Corpus callosum, Diffusion MRI and Audiology.
His work in Anatomy addresses subjects such as Frontal lobe, which are connected to disciplines such as Social anxiety and Anxiety disorder.
Between 2011 and 2021, his most popular works were:
- New human-specific brain landmark: The depth asymmetry of superior temporal sulcus (98 citations)
- Imitation and observational learning of hand actions: Prefrontal involvement and connectivity (68 citations)
- Maternal smoking during pregnancy and fetal organ growth: a magnetic resonance imaging study (52 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Magnetic resonance imaging
Neil Roberts mainly investigates Neuroscience, White matter, Magnetic resonance imaging, Magnetic resonance elastography and Audiology.
His Neuroscience study often links to related topics such as Schizophrenia.
The various areas that Neil Roberts examines in his White matter study include Neuroplasticity, Corpus callosum and Diffusion MRI.
His study focuses on the intersection of Magnetic resonance imaging and fields such as Frontal lobe with connections in the field of Temporal lobe and Human brain.
His studies in Magnetic resonance elastography integrate themes in fields like Algorithm and Putamen.
His work in Lateralization of brain function addresses issues such as Basal ganglia, which are connected to fields such as Functional magnetic resonance imaging.
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