What is he best known for?
The fields of study he is best known for:
Shawn M. Kaeppler spends much of his time researching Genetics, Gene, Genome, Transcriptome and Agronomy.
Genetics is represented through his Sequence analysis, DNA methylation, Genetic variation, Transposable element and Protein domain research.
Shawn M. Kaeppler interconnects Domestication and Plant breeding in the investigation of issues within Gene.
His research integrates issues of Genetic marker, Metagenomics, Single-nucleotide polymorphism and Sequence assembly in his study of Genome.
His Transcriptome research is multidisciplinary, relying on both Gene family, Candidate gene, Reference genome and Gene expression profiling.
Shawn M. Kaeppler combines subjects such as Quantitative trait locus, Lateral root branching and Inbred strain with his study of Agronomy.
His most cited work include:
- Epigenetic aspects of somaclonal variation in plants. (613 citations)
- Comparative population genomics of maize domestication and improvement (589 citations)
- Genetic instability of plant tissue cultures: breakdown of normal controls (487 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Gene, Genome, Agronomy and Quantitative trait locus.
His study in DNA methylation, Genetic variation, Epigenetics, Inbred strain and Allele is done as part of Genetics.
His work investigates the relationship between Genetic variation and topics such as Plant breeding that intersect with problems in Heterosis.
As part of his studies on Gene, Shawn M. Kaeppler often connects relevant areas like Botany.
As a member of one scientific family, Shawn M. Kaeppler mostly works in the field of Genome, focusing on Single-nucleotide polymorphism and, on occasion, Copy-number variation.
The study incorporates disciplines such as Nested association mapping, Gene mapping, Genetic linkage and Genotype in addition to Quantitative trait locus.
He most often published in these fields:
- Genetics (61.57%)
- Gene (37.50%)
- Genome (27.31%)
What were the highlights of his more recent work (between 2017-2021)?
- Genetics (61.57%)
- Gene (37.50%)
- Genotype (8.33%)
In recent papers he was focusing on the following fields of study:
Genetics, Gene, Genotype, Agronomy and Genome are his primary areas of study.
His work is dedicated to discovering how Genetics, Plant breeding are connected with Genetic variation and other disciplines.
His Genotype research focuses on Heterosis and how it connects with Biotechnology.
His Agronomy study combines topics from a wide range of disciplines, such as Targeted Modification and Abiotic stress.
His Genome study frequently draws connections between related disciplines such as Field.
In his study, which falls under the umbrella issue of Transcriptome, Transposable element is strongly linked to Complementation.
Between 2017 and 2021, his most popular works were:
- Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize. (31 citations)
- Heritable epigenomic changes to the maize methylome resulting from tissue culture (29 citations)
- Genome-wide association analysis of stalk biomass and anatomical traits in maize (26 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Genetics, Candidate gene, Gene, Fixation index and Plant breeding.
His Genetics study focuses on Nested association mapping in particular.
Shawn M. Kaeppler has included themes like Phenotype, Evolutionary biology and Phenotypic plasticity in his Candidate gene study.
His work carried out in the field of Gene brings together such families of science as Endosperm, Carbohydrate metabolism and Starch.
His Fixation index study incorporates themes from Ecology, Ecotype and Germplasm.
His biological study spans a wide range of topics, including Stalk, Genetic variation and Heritability.
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.
