What is he best known for?
The fields of study he is best known for:
His main research concerns Neuroscience, Optogenetics, Visual cortex, Interneuron and Anatomy.
His study in Neuroplasticity, Inhibitory postsynaptic potential, Neuron, GABAergic and Cerebral cortex is carried out as part of his Neuroscience studies.
His Optogenetics research is multidisciplinary, relying on both Sensory cortex, Somatosensory system, Barrel cortex, Neocortex and Sensory processing.
His studies deal with areas such as Stimulus and Receptive field as well as Visual cortex.
As a part of the same scientific study, Z. Josh Huang usually deals with the Interneuron, concentrating on Cell type and frequently concerns with Cell fate determination, Transgene, Neuron maturation, Stem cell and Neurogenesis.
His Anatomy research is multidisciplinary, incorporating perspectives in Synapse and Cell biology.
His most cited work include:
- A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex (1171 citations)
- BDNF Regulates the Maturation of Inhibition and the Critical Period of Plasticity in Mouse Visual Cortex (986 citations)
- Inhibition of Inhibition in Visual Cortex: The Logic of Connections Between Molecularly Distinct Interneurons (800 citations)
What are the main themes of his work throughout his whole career to date?
Z. Josh Huang focuses on Neuroscience, GABAergic, Inhibitory postsynaptic potential, Visual cortex and Cell type.
Neuroplasticity, Neocortex, Neuron, Cerebral cortex and Interneuron are subfields of Neuroscience in which his conducts study.
His study looks at the relationship between GABAergic and topics such as gamma-Aminobutyric acid, which overlap with Excitatory synapse.
Z. Josh Huang has researched Inhibitory postsynaptic potential in several fields, including Synapse and Parvalbumin.
The Visual cortex study combines topics in areas such as Binocular vision, Receptive field and Anatomy.
His Cell type study combines topics in areas such as Transcription factor, Computational biology and Laminar organization.
He most often published in these fields:
- Neuroscience (84.26%)
- GABAergic (33.33%)
- Inhibitory postsynaptic potential (24.07%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (84.26%)
- Cell type (21.30%)
- GABAergic (33.33%)
In recent papers he was focusing on the following fields of study:
Z. Josh Huang mostly deals with Neuroscience, Cell type, GABAergic, Neuron and Chandelier.
His Neuroscience research includes elements of MECP2 and Rett syndrome.
His Cell type study combines topics from a wide range of disciplines, such as Computational biology, Laminar organization and Neuroinformatics.
His GABAergic research integrates issues from Soma and Interneuron.
His Neuron research incorporates themes from Claustrum, Cerebral cortex, Glutamatergic, Transcription factor and Cortex.
His work is dedicated to discovering how Chandelier, Visual cortex are connected with Retina and other disciplines.
Between 2018 and 2021, his most popular works were:
- The diversity of GABAergic neurons and neural communication elements (70 citations)
- High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing. (41 citations)
- An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types (38 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Neuroscience, Projection, Cell type, Computational biology and Cortex.
His work in the fields of Neuroscience, such as Neuron types, GABAergic and Interneuron, overlaps with other areas such as Diversity and Identity.
His Projection research is multidisciplinary, relying on both Neuroanatomy, Projection mapping, Laminar organization and Auditory cortex.
The Cell type study which covers Epigenomics that intersects with Nucleus, Transcriptome and Cell.
Z. Josh Huang combines subjects such as Claustrum, Feature, Thalamus, Neuron and Axon with his study of Cortex.
Z. Josh Huang has researched Neuron in several fields, including Visualization and Cluster analysis.
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