What is he best known for?
The fields of study he is best known for:
Claus O. Wilke mostly deals with Genetics, Evolutionary biology, Gene, Robustness and Saccharomyces cerevisiae.
Claus O. Wilke works mostly in the field of Genetics, limiting it down to concerns involving Protein folding and, occasionally, Protein structure.
His Evolutionary biology research is multidisciplinary, relying on both Population genetics, Viral quasispecies, Sequence, Range and Neutral network.
His research in Gene intersects with topics in Viral disease, Lentivirus and T lymphocyte.
His Robustness research is multidisciplinary, incorporating elements of Survival of the fittest, Biological evolution, Avida, Genotype and Lattice protein.
As part of the same scientific family, Claus O. Wilke usually focuses on Protein sequencing, concentrating on Phylogenetics and intersecting with Adaptation.
His most cited work include:
- Welcome to the Tidyverse (1234 citations)
- Mistranslation-Induced Protein Misfolding as a Dominant Constraint on Coding-Sequence Evolution (845 citations)
- Why highly expressed proteins evolve slowly (651 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Evolutionary biology, Computational biology, Gene and Mutation rate.
His Genetics course of study focuses on Protein structure and Biological system.
His work in Evolutionary biology addresses issues such as Fitness landscape, which are connected to fields such as Evolutionary dynamics.
When carried out as part of a general Gene research project, his work on Start codon and Saccharomyces cerevisiae is frequently linked to work in Context, therefore connecting diverse disciplines of study.
His Mutation rate study incorporates themes from Statistical physics, Viral quasispecies, Mutation and Robustness.
His work carried out in the field of Genome brings together such families of science as Bacteriophage, Gene expression and Virulence.
He most often published in these fields:
- Genetics (37.34%)
- Evolutionary biology (19.81%)
- Computational biology (13.96%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (13.96%)
- Genome (9.42%)
- Gene (13.96%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computational biology, Genome, Gene, Evolutionary biology and Epistasis.
Claus O. Wilke interconnects Bacteriophage, Gene expression and Virulence in the investigation of issues within Genome.
His study on Virulence is covered under Genetics.
His research in Gene tackles topics such as Vibrio cholerae which are related to areas like Horizontal gene transfer, Model organism, Transposable element, DNA sequencing and Network analysis.
Claus O. Wilke combines subjects such as Biological system, Protein evolution, Protein structure, Coupling and Small population size with his study of Epistasis.
His study looks at the relationship between Small population size and topics such as Robustness, which overlap with Mutation rate.
Between 2018 and 2021, his most popular works were:
- Welcome to the Tidyverse (1234 citations)
- Create Elegant Data Visualisations Using the Grammar of Graphics [R package ggplot2 version 3.3.2] (163 citations)
- colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes (14 citations)
In his most recent research, the most cited papers focused on:
Claus O. Wilke focuses on Evolutionary biology, Functional divergence, In silico, Gene and Color model.
His work in the fields of Evolutionary biology, such as Function, overlaps with other areas such as Context.
His work deals with themes such as Genome evolution, Selection, Adaptation and Gene duplication, Neofunctionalization, which intersect with Function.
Claus O. Wilke integrates Context and Saccharomyces cerevisiae in his research.
His Bacteriophage, Gene expression, Genome, Codon usage bias and Transcription study are his primary interests in Gene.
His research integrates issues of RGB color model, Coding, Hue and Categorical variable in his study of Statistical graphics.
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