What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Gene, Evolutionary biology, Genome and Molecular evolution.
He has researched Genetics in several fields, including Natural selection and Population genetics.
Daniel L. Hartl has included themes like Genetic diversity, Quantitative genetics, Linkage disequilibrium, McDonald–Kreitman test and Population size in his Population genetics study.
His Gene study incorporates themes from Amino acid and Plasmodium falciparum.
His Evolutionary biology research incorporates themes from Population genomics, Human evolutionary genetics, Allele, Allele frequency and Reproductive isolation.
His research on Molecular evolution also deals with topics like
- Drosophila virilis and related Transposable element,
- Pseudogene and related Phylogenetics, Genome size and Drosophilidae.
His most cited work include:
- Principles of population genetics (4711 citations)
- Genetic Applications of an Inverse Polymerase Chain Reaction (1733 citations)
- Darwinian evolution can follow only very few mutational paths to fitter proteins. (1030 citations)
What are the main themes of his work throughout his whole career to date?
Daniel L. Hartl mainly investigates Genetics, Gene, Genome, Evolutionary biology and Drosophila melanogaster.
His Genetics study frequently involves adjacent topics like Plasmodium falciparum.
His Gene study is mostly concerned with Mutation, Escherichia coli, Genetic variation, Gene duplication and Gene expression.
His study on Genome is mostly dedicated to connecting different topics, such as Computational biology.
His Evolutionary biology research includes themes of Linkage disequilibrium, Population genetics, Genetic diversity and Human evolutionary genetics.
He works mostly in the field of Malaria, limiting it down to concerns involving Drug resistance and, occasionally, Dihydrofolate reductase.
He most often published in these fields:
- Genetics (79.21%)
- Gene (29.52%)
- Genome (19.54%)
What were the highlights of his more recent work (between 2011-2021)?
- Genetics (79.21%)
- Evolutionary biology (19.33%)
- Malaria (9.98%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Genetics, Evolutionary biology, Malaria, Plasmodium falciparum and Gene.
His study in Genetics concentrates on Drug resistance, Genome, Epistasis, Genotyping and Allele frequency.
His work deals with themes such as Population genetics, Genetic diversity, Human evolutionary genetics, Allele and Genotype, which intersect with Evolutionary biology.
The Population genetics study combines topics in areas such as Natural selection and Neutral theory of molecular evolution.
Daniel L. Hartl interconnects Genomics, Molecular epidemiology, Genetic variation and Virology in the investigation of issues within Malaria.
His research in Plasmodium falciparum focuses on subjects like Parasitology, which are connected to Entomology.
Between 2011 and 2021, his most popular works were:
- Evolutionary paths to antibiotic resistance under dynamically sustained drug selection (518 citations)
- RADseq underestimates diversity and introduces genealogical biases due to nonrandom haplotype sampling (290 citations)
- Natural selection constrains neutral diversity across a wide range of species. (207 citations)
In his most recent research, the most cited papers focused on:
Daniel L. Hartl mostly deals with Genetics, Evolutionary biology, Gene, Plasmodium falciparum and Drug resistance.
His research brings together the fields of Fitness landscape and Genetics.
His research in Evolutionary biology intersects with topics in Population genomics, Allele, Haplotype, Sexual dimorphism and Drosophila mauritiana.
In his study, Population genetics is strongly linked to Chromosomal inversion, which falls under the umbrella field of Population genomics.
His Drug resistance research integrates issues from Chloroquine, Mutant and Dihydrofolate reductase.
His Molecular evolution, Brachypodium and Gene family study in the realm of Genome interacts with subjects such as Magnaporthe.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
