What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Enzyme
Balázs Gulyás mainly focuses on Human brain, Neuroscience, Radioligand, Central nervous system and Endocrinology.
His Human brain study combines topics in areas such as Brain atlas, Color vision, Vinpocetine, Ligand and Norepinephrine transporter.
Balázs Gulyás combines subjects such as Positron emission tomography, Multiple sclerosis, Pharmacology and Pathology with his study of Radioligand.
His Positron emission tomography study which covers Molecular imaging that intersects with Biomedical engineering, Nanomaterials, Magnetic resonance imaging, Nanoparticle and Medical imaging.
His study in Central nervous system is interdisciplinary in nature, drawing from both Barrier function, Occludin, Immunology and Gut–brain axis.
His work on Hippocampus and Dopamine receptor D2 is typically connected to Atomoxetine hydrochloride and MELAS syndrome as part of general Endocrinology study, connecting several disciplines of science.
His most cited work include:
- The gut microbiota influences blood-brain barrier permeability in mice (781 citations)
- The gut microbiota influences blood-brain barrier permeability in mice (781 citations)
- Activation by Attention of the Human Reticular Formation and Thalamic Intralaminar Nuclei (529 citations)
What are the main themes of his work throughout his whole career to date?
Balázs Gulyás focuses on Neuroscience, Radioligand, Positron emission tomography, Human brain and In vivo.
His work on Prefrontal cortex, Visual cortex, Central nervous system and Cortex as part of general Neuroscience study is frequently connected to Association, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His biological study spans a wide range of topics, including Striatum, Norepinephrine transporter, Endocrinology and Ligand.
His studies in Positron emission tomography integrate themes in fields like Pathology, Radiochemistry, Translocator protein, Neuroinflammation and Cerebral blood flow.
His research integrates issues of Nuclear medicine and Pharmacology in his study of In vivo.
His Vinpocetine research incorporates elements of Basal ganglia, Anesthesia and Distribution.
He most often published in these fields:
- Neuroscience (22.43%)
- Radioligand (22.43%)
- Positron emission tomography (23.53%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (6.62%)
- Segmentation (4.41%)
- Positron emission tomography (23.53%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Segmentation, Positron emission tomography, Pattern recognition and Neuroscience.
His Positron emission tomography study frequently draws parallels with other fields, such as Biomedical engineering.
His Neuroscience study integrates concerns from other disciplines, such as Radioligand, Targeted drug delivery, Drug, Response to treatment and Biomarker.
His studies deal with areas such as Translocator protein, Neuroinflammation, Flumazenil and Striatum as well as Radioligand.
Balázs Gulyás focuses mostly in the field of Striatum, narrowing it down to topics relating to Putamen and, in certain cases, Nucleus accumbens, Human brain, Basal ganglia and PDE10A.
His biological study spans a wide range of topics, including Radiochemistry and Nanoparticle.
Between 2017 and 2021, his most popular works were:
- The gut microbiota influences skeletal muscle mass and function in mice (59 citations)
- The gut microbiota influences skeletal muscle mass and function in mice (59 citations)
- Theranostic applications of nanoparticles in neurodegenerative disorders. (36 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Enzyme
- Internal medicine
His primary areas of investigation include Nanotechnology, Biomedical engineering, Positron emission tomography, Medical imaging and Convolutional neural network.
Balázs Gulyás has included themes like Cell labeling and Tissue engineered in his Nanotechnology study.
Balázs Gulyás has researched Biomedical engineering in several fields, including Single-photon emission computed tomography, Mr imaging, Multimodal imaging and Image Quantification.
Specifically, his work in Positron emission tomography is concerned with the study of Correction for attenuation.
His studies in Medical imaging integrate themes in fields like Segmentation and Machine learning, Deep learning.
His Convolutional neural network research incorporates elements of Binary classification, Radiology and Subarachnoid hemorrhage.
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