What is he best known for?
The fields of study he is best known for:
Shin-Han Shiu spends much of his time researching Genetics, Arabidopsis, Gene, Gene family and Genome.
Shin-Han Shiu interconnects Poaceae and Computational biology in the investigation of issues within Genetics.
His Arabidopsis study integrates concerns from other disciplines, such as Arabidopsis thaliana, Nicotiana benthamiana, Molecular biology, Peptide sequence and Elicitor.
Shin-Han Shiu has included themes like Protein biosynthesis, Lipid droplet and Metabolism in his Gene study.
His Gene family research includes themes of Wall-Associated Kinase, Protein kinase domain and Receptor tyrosine kinase.
His study focuses on the intersection of Genome and fields such as Phylogenetics with connections in the field of Adaptation, Domestication, Physcomitrella patens, Multicellular organism and Plant disease resistance.
His most cited work include:
- The Physcomitrella Genome Reveals Evolutionary Insights into the Conquest of Land by Plants (1419 citations)
- Receptor-like kinases from Arabidopsis form a monophyletic gene family related to animal receptor kinases. (1056 citations)
- Comparative Analysis of the Receptor-Like Kinase Family in Arabidopsis and Rice (769 citations)
What are the main themes of his work throughout his whole career to date?
Shin-Han Shiu mainly focuses on Gene, Genetics, Arabidopsis, Computational biology and Arabidopsis thaliana.
His study in Genome, Gene expression, Gene duplication, Transcription factor and Pseudogene is carried out as part of his Gene studies.
His Gene duplication research integrates issues from Evolutionary biology and Nonsynonymous substitution.
His work is connected to Gene family, Regulation of gene expression, Plant evolution, Phylogenetics and Gene expression profiling, as a part of Genetics.
The various areas that Shin-Han Shiu examines in his Arabidopsis study include Peptide sequence, Conserved sequence and Cell biology.
The Arabidopsis thaliana study combines topics in areas such as Promoter and Functional divergence.
He most often published in these fields:
- Gene (73.08%)
- Genetics (46.92%)
- Arabidopsis (27.69%)
What were the highlights of his more recent work (between 2017-2021)?
- Gene (73.08%)
- Computational biology (30.77%)
- Arabidopsis thaliana (29.23%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Gene, Computational biology, Arabidopsis thaliana, Transcription factor and Gene expression.
The study incorporates disciplines such as DNA microarray and Unsupervised learning in addition to Computational biology.
In Arabidopsis thaliana, Shin-Han Shiu works on issues like Promoter, which are connected to Multicellular organism and Plant cell.
His studies in Transcription factor integrate themes in fields like Regulation of gene expression and Arabidopsis.
His Gene expression research is multidisciplinary, incorporating perspectives in Chromatin and Colonization.
His Transcriptome study is concerned with the field of Genetics as a whole.
Between 2017 and 2021, his most popular works were:
- Robust predictions of specialized metabolism genes through machine learning. (34 citations)
- Factors Influencing Gene Family Size Variation Among Related Species in a Plant Family, Solanaceae. (23 citations)
- Transcriptome-Based Prediction of Complex Traits in Maize. (21 citations)
In his most recent research, the most cited papers focused on:
Shin-Han Shiu mainly investigates Gene, Computational biology, Transcriptome, Arabidopsis thaliana and Artificial intelligence.
His Gene study frequently draws connections between related disciplines such as Evolutionary biology.
His Arabidopsis thaliana research incorporates elements of Promoter, Arabidopsis, Multicellular organism and Plant cell.
His work carried out in the field of Arabidopsis brings together such families of science as Cell biology, Signal transduction, Proteasome and Drought tolerance.
His Gene expression research is included under the broader classification of Genetics.
The concepts of his Genomics study are interwoven with issues in Phenotype and Gene family.
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