What is he best known for?
The fields of study he is best known for:
Simon Y. W. Ho mainly focuses on Evolutionary biology, Phylogenetic tree, Molecular clock, Ecology and Ancient DNA.
In his research, Mutation is intimately related to Mutation rate, which falls under the overarching field of Evolutionary biology.
He has researched Phylogenetic tree in several fields, including Zoology and Phylogenetics.
His Phylogenetics study incorporates themes from Algorithm, Genome and Saturation.
His studies deal with areas such as Molecular evolution, Statistics, Divergence, Markov chain and Bayes' theorem as well as Molecular clock.
His Ecology research integrates issues from Megafauna, Phylogeography, Adaptive radiation and Monte Carlo method.
His most cited work include:
- Relaxed Phylogenetics and Dating with Confidence (4729 citations)
- PartitionFinder: Combined Selection of Partitioning Schemes and Substitution Models for Phylogenetic Analyses (3740 citations)
- Whole-genome analyses resolve early branches in the tree of life of modern birds (1174 citations)
What are the main themes of his work throughout his whole career to date?
Simon Y. W. Ho mainly investigates Evolutionary biology, Phylogenetic tree, Ecology, Molecular clock and Phylogenetics.
His research on Evolutionary biology also deals with topics like
- Molecular evolution which connect with Mutation rate,
- Coalescent theory, which have a strong connection to Range.
His Phylogenetic tree research is multidisciplinary, incorporating elements of Zoology and Statistics, Bayesian probability, Bayes' theorem.
The study incorporates disciplines such as Phylogeography, Ancient DNA, Demographic history and Biological dispersal in addition to Ecology.
Simon Y. W. Ho works mostly in the field of Molecular clock, limiting it down to topics relating to Bioinformatics and, in certain cases, Data mining.
His research in Phylogenetics is mostly concerned with Monophyly.
He most often published in these fields:
- Evolutionary biology (40.46%)
- Phylogenetic tree (38.93%)
- Ecology (28.24%)
What were the highlights of his more recent work (between 2017-2021)?
- Evolutionary biology (40.46%)
- Phylogenetic tree (38.93%)
- Molecular clock (25.57%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Evolutionary biology, Phylogenetic tree, Molecular clock, Ecology and Genome.
His Evolutionary biology research is multidisciplinary, incorporating perspectives in Phylogenetics, Lineage, Coalescent theory, Taxon and Crown group.
Simon Y. W. Ho studies Phylogenetic tree, focusing on Viral phylodynamics in particular.
His Molecular clock research incorporates elements of Paleontology, Phylogeography, Molecular dating and Molecular evolution.
His study in Ecology is interdisciplinary in nature, drawing from both DNA sequencing, Ancient DNA, Biological dispersal and Extinction.
The concepts of his Bayesian probability study are interwoven with issues in Tree and Model selection.
Between 2017 and 2021, his most popular works were:
- Comparison of Methods for Molecular Species Delimitation Across a Range of Speciation Scenarios (112 citations)
- Adaptation and conservation insights from the koala genome (79 citations)
- Bayesian molecular dating: opening up the black box. (68 citations)
In his most recent research, the most cited papers focused on:
Simon Y. W. Ho focuses on Molecular clock, Evolutionary biology, Bayesian probability, Phylogenetic tree and Artificial intelligence.
His biological study spans a wide range of topics, including Phylogeography and Molecular evolution.
His Evolutionary biology study integrates concerns from other disciplines, such as Genome, Phylogenetics, Coalescent theory, Phylogenomics and Marsupial.
His work on Most recent common ancestor as part of general Phylogenetics research is frequently linked to Pangaea, bridging the gap between disciplines.
In his study, Prior probability and Clade is strongly linked to Model selection, which falls under the umbrella field of Bayesian probability.
Simon Y. W. Ho studied Phylogenetic tree and Sampling that intersect with Pattern recognition, Ancient DNA, Bayes estimator and Bioinformatics.
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