Ivo Gut

What is he best known for?

The fields of study he is best known for:

• Gene
• DNA
• Genetics

His main research concerns Genetics, Genome-wide association study, Single-nucleotide polymorphism, Locus and Gene. Ivo Gut regularly ties together related areas like Cancer research in his Genetics studies. His Genome-wide association study research is multidisciplinary, incorporating elements of Case-control study, Allele, Allele frequency, Genetic association and Candidate gene.

His Single-nucleotide polymorphism study incorporates themes from Genetic variability, Genotyping, DNA repair and Chromosome 17. His work investigates the relationship between Locus and topics such as Cancer that intersect with problems in Lung cancer, Respiratory disease, Lung cancer susceptibility and Immunology. His study looks at the relationship between Genome and topics such as Human genetics, which overlap with Human genome.

His most cited work include:

• Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease (2233 citations)
• International network of cancer genome projects (1611 citations)
• SLCO1B1 variants and statin-induced myopathy--a genomewide study (1544 citations)

What are the main themes of his work throughout his whole career to date?

Genetics, Single-nucleotide polymorphism, Gene, DNA methylation and Computational biology are his primary areas of study. His study involves Genome, Genome-wide association study, Genomics, Haplotype and Allele frequency, a branch of Genetics. His work carried out in the field of Genome-wide association study brings together such families of science as Odds ratio, Case-control study, Immunology and Locus.

His research on Single-nucleotide polymorphism often connects related topics like Genotyping. His DNA methylation research includes elements of Molecular biology, Methylation and Epigenetics. Ivo Gut has included themes like Cell, RNA, Transcriptome, DNA and Mass spectrometry in his Computational biology study.

He most often published in these fields:

• Genetics (43.80%)
• Single-nucleotide polymorphism (17.52%)
• Gene (16.42%)

What were the highlights of his more recent work (between 2016-2021)?

• Computational biology (14.23%)
• Genetics (43.80%)
• Gene (16.42%)

In recent papers he was focusing on the following fields of study:

Ivo Gut focuses on Computational biology, Genetics, Gene, Epigenetics and Phenotype. His studies deal with areas such as Cell, Identification, Transcriptome, DNA and Genomics as well as Computational biology. His research on Genetics frequently links to adjacent areas such as Myeloid leukemia.

His studies in Gene integrate themes in fields like Microbiology and Corpus albicans. His work deals with themes such as Genotype determination, Disease progression, Inflammatory bowel disease and Epigenomics, DNA methylation, which intersect with Epigenetics. His Phenotype study incorporates themes from Chromatin and Candida albicans.

Between 2016 and 2021, his most popular works were:

• Single-cell transcriptome conservation in cryopreserved cells and tissues. (89 citations)
• Epigenetic prediction of response to anti-PD-1 treatment in non-small-cell lung cancer: a multicentre, retrospective analysis. (76 citations)
• Selective single molecule sequencing and assembly of a human Y chromosome of African origin. (69 citations)

In his most recent research, the most cited papers focused on:

• Gene
• DNA
• Genetics

His primary areas of investigation include Computational biology, DNA methylation, Gene, Phenotype and Genetics. The study incorporates disciplines such as Convolution, Sequence analysis and Gene expression profiling in addition to Computational biology. His study explores the link between DNA methylation and topics such as Methylation that cross with problems in Biotinylation and genomic DNA.

His Gene research integrates issues from Myeloid leukemia and Cell adhesion. In his work, Human pathogen, Protein translation, Genomics and Gene expression is strongly intertwined with Candida albicans, which is a subfield of Phenotype. He combines subjects such as Bisulfite, Pyrosequencing, Genome, Mutation rate and Primer with his study of CpG site.