What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neurotransmitter
- Biochemistry
Samuel S.-H. Wang mainly investigates Neuroscience, Electrophysiology, Dendritic spine, Synaptic plasticity and Neocortex.
Samuel S.-H. Wang has included themes like Nonsynaptic plasticity, Metaplasticity and Homosynaptic plasticity in his Neuroscience study.
His Electrophysiology research incorporates elements of Preclinical imaging, Axon and Allometry.
His work is dedicated to discovering how Dendritic spine, Chromatic scale are connected with Glutamate receptor and Biophysics and other disciplines.
His Synaptic plasticity research is multidisciplinary, incorporating perspectives in Climbing fiber, Bursting, Long-term depression and Excitatory postsynaptic potential.
His biological study spans a wide range of topics, including Zoology, Old World and Evolutionary biology.
His most cited work include:
- Optimization of a GCaMP calcium indicator for neural activity imaging. (880 citations)
- Brominated 7-hydroxycoumarin-4-ylmethyls: Photolabile protecting groups with biologically useful cross-sections for two photon photolysis (488 citations)
- Coincidence detection in single dendritic spines mediated by calcium release (405 citations)
What are the main themes of his work throughout his whole career to date?
Samuel S.-H. Wang mainly focuses on Neuroscience, Cerebellum, Calcium, Biophysics and Cell biology.
The various areas that he examines in his Neuroscience study include Synaptic plasticity and Autism.
His research on Cerebellum also deals with topics like
- Forebrain which intersects with area such as Perception,
- Brain mapping which is related to area like Cognition.
His Calcium research integrates issues from Preclinical imaging, Biochemistry, Cell type and Cerebellar cortex.
His Cerebellar cortex research includes elements of Biological neural network and Astrocyte.
His studies deal with areas such as Glutamate receptor, Calcium metabolism, Parallel fiber, Microscopy and Second messenger system as well as Biophysics.
He most often published in these fields:
- Neuroscience (45.95%)
- Cerebellum (28.83%)
- Calcium (29.73%)
What were the highlights of his more recent work (between 2013-2021)?
- Neuroscience (45.95%)
- Cerebellum (28.83%)
- Autism (8.11%)
In recent papers he was focusing on the following fields of study:
Samuel S.-H. Wang mostly deals with Neuroscience, Cerebellum, Autism, Sensory system and Artificial intelligence.
Samuel S.-H. Wang has researched Neuroscience in several fields, including CNTNAP2 and Calcium.
The study incorporates disciplines such as Deep cerebellar nuclei and Anatomy in addition to Calcium.
His research in Cerebellum intersects with topics in Stimulus, Forebrain, Optogenetics and Biological neural network.
His Autism study integrates concerns from other disciplines, such as Cognition, Brain mapping and Motor learning.
He focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Computer vision and, in certain cases, Deep neural networks and Word error rate.
Between 2013 and 2021, his most popular works were:
- The Cerebellum, Sensitive Periods, and Autism (372 citations)
- Fast animal pose estimation using deep neural networks. (178 citations)
- Stability, affinity, and chromatic variants of the glutamate sensor iGluSnFR. (130 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Biochemistry
- Neurotransmitter
His primary scientific interests are in Neuroscience, Cerebellum, Autism, Eyeblink conditioning and Calcium.
His study of Sensory system is a part of Neuroscience.
In his study, Binding domain, Calmodulin and GCaMP is inextricably linked to Biological neural network, which falls within the broad field of Cerebellum.
The concepts of his Autism study are interwoven with issues in Cognition and Brain mapping.
His studies in Calcium integrate themes in fields like Purkinje cell and Anatomy.
His research integrates issues of Synaptic plasticity, Electrophysiology, Motor control, Motor learning and Neuroplasticity in his study of Autism spectrum disorder.
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