What is he best known for?
The fields of study he is best known for:
Wen-Hsiung Li mainly investigates Genetics, Gene, Molecular evolution, Nonsynonymous substitution and Mutation rate.
Genome, Synonymous substitution, Codon usage bias, Regulation of gene expression and Mutation are subfields of Genetics in which his conducts study.
His biological study spans a wide range of topics, including Evolutionary biology, Nucleic acid sequence, Neutral mutation and Molecular clock.
His study in Evolutionary biology is interdisciplinary in nature, drawing from both Recombination and Allele frequency.
His research in Nonsynonymous substitution focuses on subjects like Divergence, which are connected to myr.
His Mutation rate research also works with subjects such as
- Intron that connect with fields like Y chromosome,
- Effective population size that intertwine with fields like Most recent common ancestor and Nucleotide diversity.
His most cited work include:
- Mathematical model for studying genetic variation in terms of restriction endonucleases (8616 citations)
- Statistical tests of neutrality of mutations (3156 citations)
- The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications. (2748 citations)
What are the main themes of his work throughout his whole career to date?
Wen-Hsiung Li spends much of his time researching Genetics, Gene, Genome, Evolutionary biology and Molecular evolution.
His Genetics study which covers Computational biology that intersects with DNA microarray.
Gene and Yeast are frequently intertwined in his study.
His Genome course of study focuses on Phylogenetics and Zoology.
As part of his studies on Evolutionary biology, Wen-Hsiung Li frequently links adjacent subjects like Feather.
His Mutation rate study combines topics from a wide range of disciplines, such as Mutation and Intron.
He most often published in these fields:
- Genetics (81.25%)
- Gene (66.67%)
- Genome (26.56%)
What were the highlights of his more recent work (between 2012-2021)?
- Gene (66.67%)
- Genetics (81.25%)
- Genome (26.56%)
In recent papers he was focusing on the following fields of study:
Gene, Genetics, Genome, Gene expression and Transcriptome are his primary areas of study.
Gene is closely attributed to Evolutionary biology in his research.
His Evolutionary biology research integrates issues from Altricial and Precocial.
His work focuses on many connections between Genome and other disciplines, such as Phylogenetics, that overlap with his field of interest in Phylogenetic tree.
His study explores the link between Gene expression and topics such as microRNA that cross with problems in Hazard ratio, CA15-3, Metastasis, Cancer cell and Gene silencing.
His work in Transcriptome addresses subjects such as Conserved sequence, which are connected to disciplines such as Taeniopygia.
Between 2012 and 2021, his most popular works were:
- Extremely high genetic diversity in a single tumor points to prevalence of non-Darwinian cell evolution (247 citations)
- Down-Regulation of Cytokinin Oxidase 2 Expression Increases Tiller Number and Improves Rice Yield (68 citations)
- Down-Regulation of Cytokinin Oxidase 2 Expression Increases Tiller Number and Improves Rice Yield (68 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Gene, Genetics, Genome, Gene expression profiling and Regulation of gene expression.
His Gene study integrates concerns from other disciplines, such as Evolutionary biology and Yeast.
His Genetics study typically links adjacent topics like Natural selection.
His Genome research is multidisciplinary, incorporating elements of Phylogenetics, Chlamydomonas reinhardtii, Haematococcus pluvialis and Phylogenetic tree.
His Gene expression profiling study combines topics in areas such as Transcriptome and Feather.
His work deals with themes such as Drosophila sechellia, Drosophila melanogaster, Drosophila Protein, Odorant-binding protein and Olfactory receptor, which intersect with Regulation of gene expression.
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