What is he best known for?
The fields of study he is best known for:
- Gene
- Artificial intelligence
- Neuroscience
His primary scientific interests are in Neuroscience, Transcriptome, Human brain, Cell type and Genetics.
The concepts of his Neuroscience study are interwoven with issues in Gene expression and Gene.
His Human brain study integrates concerns from other disciplines, such as Neocortex, Evolutionary biology and Gene regulatory network.
The study incorporates disciplines such as Transgene and Single-cell analysis in addition to Cell type.
Much of his study explores Genetics relationship to Computational biology.
His Computational biology study combines topics in areas such as In vivo and Genome, Functional genomics, Genomics.
His most cited work include:
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
- Genome-wide atlas of gene expression in the adult mouse brain. (3675 citations)
- A robust and high-throughput Cre reporting and characterization system for the whole mouse brain (3634 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Neuroscience, Cell type, Computational biology, Gene and Brain atlas.
Michael Hawrylycz combines topics linked to Transcriptome with his work on Neuroscience.
His work in Cell type addresses issues such as GABAergic, which are connected to fields such as Interneuron.
His Computational biology study combines topics in areas such as Genetics, Genome, Human genetics and Gene expression profiling.
Michael Hawrylycz interconnects Evolutionary biology and Mouse cortex in the investigation of issues within Gene.
His Brain atlas study combines topics from a wide range of disciplines, such as Neuroanatomy, Voxel, Brain mapping and In situ hybridization.
He most often published in these fields:
- Neuroscience (40.36%)
- Cell type (25.30%)
- Computational biology (22.89%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (40.36%)
- Cell type (25.30%)
- Transcriptome (18.07%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Neuroscience, Cell type, Transcriptome, Computational biology and Neocortex.
His Neuroscience research includes elements of Neuropeptide and Function.
His Cell type research is multidisciplinary, incorporating elements of Interneuron, Visual cortex and Single-cell analysis.
His Transcriptome research is multidisciplinary, incorporating perspectives in Cell and Epigenomics.
His biological study spans a wide range of topics, including Brain atlas and Glioblastoma.
He is involved in the study of Gene that focuses on Gene expression in particular.
Between 2017 and 2021, his most popular works were:
- Shared and distinct transcriptomic cell types across neocortical areas (564 citations)
- Conserved cell types with divergent features in human versus mouse cortex (406 citations)
- Integrative functional genomic analysis of human brain development and neuropsychiatric risks (241 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Artificial intelligence
- Neuroscience
Michael Hawrylycz mainly investigates Cell type, Neuroscience, Transcriptome, Visual cortex and Single-cell analysis.
His Cell type research incorporates themes from Neocortex, Cortical neuron, Neuron types, Biological system and Computational model.
Cortex and Axon are among the areas of Neuroscience where Michael Hawrylycz concentrates his study.
Michael Hawrylycz has included themes like Cell shape, Electrophysiology and Gene expression profiling in his Visual cortex study.
His work carried out in the field of Single-cell analysis brings together such families of science as Probabilistic logic and Human brain.
His Epigenome research focuses on Cell and how it connects with Computational biology.
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