What is he best known for?
The fields of study he is best known for:
His primary areas of study are Arabidopsis, Biochemistry, Arabidopsis thaliana, Gene and Genetics.
His Arabidopsis study combines topics from a wide range of disciplines, such as ATPase, Botany and Cell biology.
His work on Phosphorylation and Protein kinase A as part of general Biochemistry research is frequently linked to Apoplast, bridging the gap between disciplines.
Michael R. Sussman works mostly in the field of Arabidopsis thaliana, limiting it down to topics relating to Kinase and, in certain cases, Sequence alignment and Intron.
In the field of Genetics, his study on Genome, DNA, Reverse genetics and Telomere overlaps with subjects such as Centromere.
His Gene family study, which is part of a larger body of work in Genome, is frequently linked to Thalassiosira pseudonana, bridging the gap between disciplines.
His most cited work include:
- The Phaeodactylum genome reveals the evolutionary history of diatom genomes (1151 citations)
- The Arabidopsis CDPK-SnRK Superfamily of Protein Kinases (752 citations)
- Maskless fabrication of light-directed oligonucleotide microarrays using a digital micromirror array. (734 citations)
What are the main themes of his work throughout his whole career to date?
Michael R. Sussman mainly investigates Biochemistry, Arabidopsis, Arabidopsis thaliana, Cell biology and Gene.
His Arabidopsis study integrates concerns from other disciplines, such as Molecular biology, Biophysics and Botany.
His biological study spans a wide range of topics, including Auxin, Fusion protein and Gene family.
His research in Cell biology intersects with topics in Plant hormone and Histidine kinase.
His Gene study is focused on Genetics in general.
His research in the fields of Wild type overlaps with other disciplines such as Potassium.
He most often published in these fields:
- Biochemistry (36.72%)
- Arabidopsis (26.55%)
- Arabidopsis thaliana (20.90%)
What were the highlights of his more recent work (between 2016-2021)?
- Biophysics (7.91%)
- Biochemistry (36.72%)
- Biomolecule (3.39%)
In recent papers he was focusing on the following fields of study:
Michael R. Sussman mainly focuses on Biophysics, Biochemistry, Biomolecule, Amino acid and Cell biology.
The study incorporates disciplines such as Radical, Intramolecular force and Phosphorylation in addition to Biophysics.
His study in the field of RNA polymerase, Transferase and RNA-dependent RNA polymerase also crosses realms of Protein nucleotidylation and Viral replication.
Michael R. Sussman has researched Cell biology in several fields, including Mutation, Arabidopsis and Cell growth.
His study in Arabidopsis is interdisciplinary in nature, drawing from both Ovule, Hormone and Kinase activity.
His work in ATPase covers topics such as Meristem which are related to areas like Arabidopsis thaliana.
Between 2016 and 2021, his most popular works were:
- The effect of developmental and environmental factors on secondary metabolites in medicinal plants. (42 citations)
- Comparison of the effects of a kinase-dead mutation of FERONIA on ovule fertilization and root growth of Arabidopsis (17 citations)
- Environmental and Genetic Factors Regulating Localization of the Plant Plasma Membrane H+-ATPase. (16 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Arabidopsis, Biochemistry, Protein structure, Protein turnover and Mutant.
Michael R. Sussman interconnects Proteome, Computational biology and Intracellular, Cell biology in the investigation of issues within Arabidopsis.
His Cell biology study incorporates themes from Mutation and Cell growth.
Biochemistry is a component of his Protein footprinting, Amino acid, Protein domain, Scaffold protein and Receptor protein serine/threonine kinase studies.
His Protein structure research is multidisciplinary, incorporating elements of Tandem mass spectrometry, Thermostability, Model organism and Proteasome.
Michael R. Sussman studies Arabidopsis thaliana, a branch of Mutant.
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.
