What is he best known for?
The fields of study he is best known for:
Thomas Bourgeron focuses on Autism, Genetics, Neuroscience, Copy-number variation and Autism spectrum disorder.
His studies deal with areas such as SHANK2, Genetic heterogeneity and Intellectual disability as well as Autism.
His work is connected to Gene, Mutation, Single-nucleotide polymorphism, Allele and CNTNAP2, as a part of Genetics.
His Neuroscience research includes elements of Disease and Fragile X syndrome.
His Copy-number variation study incorporates themes from Genome-wide association study, Genetic variation and Genetic architecture.
In his research, Male gender, Medical genetics, Clinical significance and Hypotonia is intimately related to Penetrance, which falls under the overarching field of Autism spectrum disorder.
His most cited work include:
- Functional impact of global rare copy number variation in autism spectrum disorders (1592 citations)
- Mutations of the X-linked genes encoding neuroligins NLGN3 and NLGN4 are associated with autism. (1441 citations)
- Mapping autism risk loci using genetic linkage and chromosomal rearrangements (1161 citations)
What are the main themes of his work throughout his whole career to date?
Thomas Bourgeron mainly investigates Autism, Genetics, Gene, Autism spectrum disorder and Neuroscience.
His Autism study combines topics from a wide range of disciplines, such as Schizophrenia, Genome-wide association study, Intellectual disability and Bioinformatics.
His study in Copy-number variation, Mutation, Allele, Haploinsufficiency and Candidate gene are all subfields of Genetics.
His work carried out in the field of Gene brings together such families of science as Evolutionary biology and Human brain.
His Autism spectrum disorder research includes themes of Penetrance, Spectrum disorder, Pediatrics and Cohort.
The study incorporates disciplines such as Genetic heterogeneity, Epigenetics of autism, SHANK2 and Induced pluripotent stem cell in addition to Neuroscience.
He most often published in these fields:
- Autism (75.86%)
- Genetics (54.83%)
- Gene (25.52%)
What were the highlights of his more recent work (between 2018-2021)?
- Autism (75.86%)
- Genetics (54.83%)
- Gene (25.52%)
In recent papers he was focusing on the following fields of study:
Thomas Bourgeron spends much of his time researching Autism, Genetics, Gene, Genome and Copy-number variation.
Thomas Bourgeron has included themes like Phenotype and Neuroscience in his Autism study.
His study in Phenotype is interdisciplinary in nature, drawing from both Mutation and Intellectual disability.
His Gene research is multidisciplinary, incorporating elements of Evolutionary biology and Human brain.
His research investigates the connection with Genome and areas like Gene dosage which intersect with concerns in Haploinsufficiency and Intelligence quotient.
His Autism spectrum disorder study integrates concerns from other disciplines, such as Schizophrenia, Neuroimaging and Proband.
Between 2018 and 2021, his most popular works were:
- Unstable TTTTA/TTTCA expansions in MARCH6 are associated with Familial Adult Myoclonic Epilepsy type 3 (39 citations)
- Altered spinogenesis in iPSC-derived cortical neurons from patients with autism carrying de novo SHANK3 mutations (29 citations)
- Altered spinogenesis in iPSC-derived cortical neurons from patients with autism carrying de novo SHANK3 mutations (29 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Autism, Genome-wide association study, Genetics, Autism spectrum disorder and Autistic traits.
While working on this project, Thomas Bourgeron studies both Autism and Control participant.
Thomas Bourgeron studied Genome-wide association study and Dyslexia that intersect with Comorbidity, Anxiety and Candidate gene.
His Genetics study frequently links to adjacent areas such as Neuron.
His Autism spectrum disorder study combines topics in areas such as Phenotype and Proband.
The concepts of his Intellectual disability study are interwoven with issues in Exome sequencing, CNTNAP2, SNP array, GRIK2 and Genetic architecture.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
