What is he best known for?
The fields of study he is best known for:
- Genetics
- Natural selection
- Ecology
His primary areas of investigation include Genetics, Demographic history, Evolutionary biology, Gene flow and Mutation.
His Genetics research incorporates elements of Population size and Genomics.
His Demographic history research is multidisciplinary, relying on both Genetic drift, Ecological niche and Sympatric speciation, Sympatry.
Vitor C. Sousa combines subjects such as Upper Paleolithic, Inbreeding, Mating and Anatomically modern human with his study of Evolutionary biology.
His research integrates issues of Central chimpanzee and Genetic algorithm in his study of Gene flow.
Vitor C. Sousa interconnects Idealised population, Effective population size and Genetic equilibrium in the investigation of issues within Mutation.
His most cited work include:
- Robust demographic inference from genomic and SNP data. (800 citations)
- A genomic history of Aboriginal Australia (222 citations)
- A genomic history of Aboriginal Australia (222 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Evolutionary biology, Ecology, Gene flow, Population genetics and Demographic history.
His study in Evolutionary biology is interdisciplinary in nature, drawing from both Adaptation, Genetics, Allopatric speciation, Population genomics and Introgression.
His Mating study in the realm of Genetics interacts with subjects such as Social group.
His work deals with themes such as Genetic structure, Genetic diversity and Genetic variation, which intersect with Ecology.
His study explores the link between Population genetics and topics such as Population structure that cross with problems in Denisovan.
As part of one scientific family, he deals mainly with the area of Demographic history, narrowing it down to issues related to the Mutation, and often Genetic equilibrium and Idealised population.
He most often published in these fields:
- Evolutionary biology (70.51%)
- Ecology (44.87%)
- Gene flow (33.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Evolutionary biology (70.51%)
- Gene flow (33.33%)
- Introgression (15.38%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Evolutionary biology, Gene flow, Introgression, Population genetics and Holocene.
Vitor C. Sousa carries out multidisciplinary research, doing studies in Evolutionary biology and Freshwater fish.
His Gene flow study combines topics in areas such as Allopatric speciation, Population genomics and Lineage.
The study incorporates disciplines such as Ecology, Cytochrome c oxidase subunit I and Reproductive isolation in addition to Introgression.
The Population genetics study which covers Genetic drift that intersects with Ghost population.
His Holocene research integrates issues from Human migration, Pleistocene and Mosaic.
Between 2017 and 2021, his most popular works were:
- The population history of northeastern Siberia since the Pleistocene. (83 citations)
- The population history of northeastern Siberia since the Pleistocene. (83 citations)
- The population history of northeastern Siberia since the Pleistocene. (83 citations)
In his most recent research, the most cited papers focused on:
- Genetics
- Population genetics
- Ecology
Vitor C. Sousa mainly focuses on Evolutionary biology, Gene flow, Population genetics, Genetic drift and Biological dispersal.
While working in this field, Vitor C. Sousa studies both Evolutionary biology and Environmental change.
The concepts of his Gene flow study are interwoven with issues in Bonobo, Lineage, Human evolutionary genetics and Introgression.
His Genetic drift study integrates concerns from other disciplines, such as Selection coefficient, Ghost population, Local adaptation and Coalescent theory.
Vitor C. Sousa has researched Biological dispersal in several fields, including Archaeological record, Neanderthal, Holocene and Mosaic.
His research ties Pleistocene and Neanderthal together.
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