What is he best known for?
The fields of study he is best known for:
Andrew Green focuses on Genetics, Autism, Genome-wide association study, Tuberous sclerosis and Single-nucleotide polymorphism.
His study in Mutation, Allele, Missense mutation, Gene and Allele frequency falls within the category of Genetics.
His Autism research is multidisciplinary, incorporating perspectives in Association mapping and Copy-number variation.
His Copy-number variation study combines topics in areas such as Genetic heterogeneity and Intellectual disability.
His research in Intellectual disability intersects with topics in Structural variation, CHD2, Fragile X syndrome and Bioinformatics.
His Tuberous sclerosis research incorporates themes from Cancer research, Hamartoma, Locus and Loss of heterozygosity.
His most cited work include:
- Functional impact of global rare copy number variation in autism spectrum disorders (1592 citations)
- Identification of the tuberous sclerosis gene TSC1 on chromosome 9q34 (1330 citations)
- Heterodimerization is required for the formation of a functional GABAB receptor (1078 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Internal medicine, Gene, Mutation and Pathology.
His Genetics study frequently draws connections to other fields, such as Autism.
His Autism study incorporates themes from Candidate gene, Genome-wide association study and Copy-number variation.
His biological study spans a wide range of topics, including Gastroenterology, Endocrinology, Surgery and Oncology.
In his study, which falls under the umbrella issue of Gene, Disease is strongly linked to Bioinformatics.
In his work, Gene mapping and Gene mutation is strongly intertwined with Cancer research, which is a subfield of Pathology.
He most often published in these fields:
- Genetics (59.30%)
- Internal medicine (16.86%)
- Gene (19.19%)
What were the highlights of his more recent work (between 2013-2021)?
- Genetics (59.30%)
- Gene (19.19%)
- Internal medicine (16.86%)
In recent papers he was focusing on the following fields of study:
Genetics, Gene, Internal medicine, Bioinformatics and Genetic testing are his primary areas of study.
Mutation, Phenotype, Genetic heterogeneity, Intellectual disability and Exome are the subjects of his Genetics studies.
The various areas that Andrew Green examines in his Gene study include Urinary system, Endocrinology and Autism.
His research investigates the link between Autism and topics such as Copy-number variation that cross with problems in CHD2, Fragile X syndrome, Structural variation and Computational biology.
His work carried out in the field of Internal medicine brings together such families of science as Surgery and Oncology.
The study incorporates disciplines such as Genome-wide association study and Disease in addition to Bioinformatics.
Between 2013 and 2021, his most popular works were:
- Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders (605 citations)
- Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders (605 citations)
- Genetic heterogeneity in Cornelia de Lange syndrome (CdLS) and CdLS-like phenotypes with observed and predicted levels of mosaicism (98 citations)
In his most recent research, the most cited papers focused on:
Andrew Green mostly deals with Genetics, Gene, Mutation, Bioinformatics and Autism.
His Breast cancer, CHEK2, Intellectual disability, DNA sequencing and Phenotype study are his primary interests in Genetics.
His work on Gene family and Druggability as part of general Gene study is frequently linked to Metabotropic glutamate receptor 3 and Gene regulatory network, therefore connecting diverse disciplines of science.
His Mutation study incorporates themes from Polymicrogyria, Tubulin, Microtubule and Lissencephaly, Pachygyria.
His Bioinformatics study integrates concerns from other disciplines, such as Genome-wide association study and Disease.
His Autism study combines topics in areas such as Structural variation, Schizophrenia, Fragile X syndrome, Copy-number variation and CHD2.
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.
