What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Genetic variation, Exome, Human genome and Genome.
His research integrates issues of Evolutionary biology, Structural variation, Genome-wide association study and Genotype, Allele frequency in his study of Genetic variation.
His research investigates the connection between Exome and topics such as Sequence analysis that intersect with problems in Lineage, Multiple sequence alignment, UniProt and Mutation.
His study in Human genome is interdisciplinary in nature, drawing from both Computational biology and Human genetics.
Shamil R. Sunyaev interconnects Proteome, Chromatography and De novo peptide sequencing in the investigation of issues within Genome.
His research investigates the link between Mutation rate and topics such as Cancer that cross with problems in Kataegis and Genetic heterogeneity.
His most cited work include:
- A method and server for predicting damaging missense mutations. (8761 citations)
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
- Integrative analysis of 111 reference human epigenomes (3776 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Computational biology, Evolutionary biology, Genetic variation and Genome are his primary areas of study.
His work is connected to Gene, Allele, Human genome, Allele frequency and Single-nucleotide polymorphism, as a part of Genetics.
His studies deal with areas such as Exome, Human genetics and Genomics as well as Human genome.
Within one scientific family, Shamil R. Sunyaev focuses on topics pertaining to Regulation of gene expression under Human genetics, and may sometimes address concerns connected to Epigenetics.
His biological study deals with issues like Enhancer, which deal with fields such as Heterochromatin.
His Genome research integrates issues from Peptide sequence and Sequence.
He most often published in these fields:
- Genetics (80.41%)
- Computational biology (43.64%)
- Evolutionary biology (36.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Evolutionary biology (36.08%)
- Computational biology (43.64%)
- Gene (26.12%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Evolutionary biology, Computational biology, Gene, Single-nucleotide polymorphism and Genetic variation.
He combines subjects such as SNP, Biobank, Nonsynonymous substitution, Selection and Locus with his study of Evolutionary biology.
His research in Computational biology intersects with topics in Negative selection, Whole genome sequencing, Genome and Mutation rate.
To a larger extent, he studies Genetics with the aim of understanding Gene.
Shamil R. Sunyaev frequently studies issues relating to MEDLINE and Genetics.
When carried out as part of a general Single-nucleotide polymorphism research project, his work on Genome-wide association study is frequently linked to work in Apnea–hypopnea index and Demography, therefore connecting diverse disciplines of study.
Between 2018 and 2021, his most popular works were:
- Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies (147 citations)
- Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies (147 citations)
- Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies (147 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Biobank, Evolutionary biology, SNP, Genetic variation and Single-nucleotide polymorphism.
His Biobank research includes elements of Whole genome sequencing, Rare variant association, Genetic association, In silico and DNA sequencing.
The Evolutionary biology study combines topics in areas such as Linkage disequilibrium, Allele, Haplotype, Selection and Directional selection.
His research integrates issues of Minor allele frequency and Negative selection in his study of Genetic variation.
Shamil R. Sunyaev has included themes like Obstructive sleep apnea and Genomics in his Single-nucleotide polymorphism study.
Shamil R. Sunyaev focuses mostly in the field of Population stratification, narrowing it down to topics relating to Genome-wide association study and, in certain cases, Drug resistance, Tuberculosis, Mycobacterium tuberculosis and Phenotype.
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