What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Gene, Regulation of gene expression, Gene expression profiling and Quantitative trait locus.
His work in the fields of Genetics, such as Copy-number variation and Microarray gene expression, intersects with other areas such as Information retrieval and Table.
His research in Gene tackles topics such as Disease which are related to areas like Exome, Intellectual disability, Cognition and Genetic variation.
His Regulation of gene expression research is multidisciplinary, relying on both Transcriptome, Transcription factor and Computational biology.
His Gene expression profiling study frequently links to related topics such as Data Annotation.
The various areas that Enrico Petretto examines in his Quantitative trait locus study include Expression quantitative trait loci and Single-nucleotide polymorphism.
His most cited work include:
- Copy number polymorphism in Fcgr3 predisposes to glomerulonephritis in rats and humans (652 citations)
- Integrated transcriptional profiling and linkage analysis for identification of genes underlying disease (476 citations)
- Repeatability of published microarray gene expression analyses. (429 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Gene, Cell biology, Quantitative trait locus and Regulation of gene expression.
His Expression quantitative trait loci, Genome, Candidate gene, Locus and Gene expression profiling investigations are all subjects of Genetics research.
His Disease research extends to Gene, which is thematically connected.
His research integrates issues of Transcriptome and Transcription factor in his study of Cell biology.
His studies in Quantitative trait locus integrate themes in fields like Genetic marker, Spontaneously hypertensive rat and Genetic linkage.
His study explores the link between Regulation of gene expression and topics such as Computational biology that cross with problems in Bioinformatics.
He most often published in these fields:
- Genetics (41.97%)
- Gene (33.68%)
- Cell biology (27.46%)
What were the highlights of his more recent work (between 2017-2021)?
- Cell biology (27.46%)
- Gene (33.68%)
- Transcriptome (16.58%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cell biology, Gene, Transcriptome, Wnt signaling pathway and Cell type.
His Cell biology research integrates issues from Phenotype, Transcription factor and Laminin.
His Gene study necessitates a more in-depth grasp of Genetics.
His work carried out in the field of Transcriptome brings together such families of science as Microglia, RNA extraction, Biopsy, Blood plasma and Small RNA.
His Wnt signaling pathway research is multidisciplinary, incorporating perspectives in Cancer cell, Cancer and Pancreatic cancer.
As a member of one scientific family, Enrico Petretto mostly works in the field of Cell type, focusing on Disease and, on occasion, Regulation of gene expression.
Between 2017 and 2021, his most popular works were:
- A single-cell atlas of entorhinal cortex from individuals with Alzheimer's disease reveals cell-type-specific gene expression regulation. (128 citations)
- Control of inducible gene expression links cohesin to hematopoietic progenitor self-renewal and differentiation. (76 citations)
- Control of inducible gene expression links cohesin to hematopoietic progenitor self-renewal and differentiation. (76 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Cell biology, Regulation of gene expression, Transcription factor, Disease and Transcriptome.
The Cell biology study combines topics in areas such as Laminin, Embryonic stem cell, Proteomics and Heart failure.
His studies deal with areas such as Fibrosis, Myocardial fibrosis, Cardiac fibrosis and Cardiac function curve as well as Regulation of gene expression.
His Disease research includes themes of Neuroscience, Epilepsy and Gene expression profiling.
His work deals with themes such as Epileptogenesis, Computational biology, Systems biology, Causal reasoning and Drug discovery, which intersect with Gene expression profiling.
His Transcriptome research is included under the broader classification of Gene.
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