What is he best known for?
The fields of study he is best known for:
Yuko Fukata spends much of his time researching Cell biology, Rho-associated protein kinase, Myosin, Phosphorylation and Myosin light-chain kinase.
Cell biology is closely attributed to Synaptic plasticity in his work.
Yuko Fukata has researched Rho-associated protein kinase in several fields, including Lysophosphatidic acid, RHOA, Cytoskeleton and Actin.
His work in Phosphorylation tackles topics such as Membrane ruffling which are related to areas like Phosphatase, Cell membrane, Hepatocyte growth factor and Spectrin.
His research investigates the connection between Myosin light-chain kinase and topics such as Molecular biology that intersect with issues in Myosin-light-chain phosphatase.
His research integrates issues of Lipid modification and Neuroscience in his study of Function.
His most cited work include:
- Regulation of myosin phosphatase by Rho and Rho-associated kinase (Rho-kinase) (2500 citations)
- Phosphorylation and activation of myosin by Rho-associated kinase (Rho-kinase). (1726 citations)
- Formation of actin stress fibers and focal adhesions enhanced by Rho-kinase. (1005 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cell biology, Neuroscience, Biochemistry, Rho-associated protein kinase and Lipid modification.
His biological study spans a wide range of topics, including Receptor and Neurite.
His work on Epilepsy as part of general Neuroscience research is frequently linked to ADAM22, bridging the gap between disciplines.
His study in Rho-associated protein kinase is interdisciplinary in nature, drawing from both MDia1, GTPase and Myosin.
His work in the fields of Myosin light-chain kinase overlaps with other areas such as Vascular smooth muscle.
His research in Molecular biology focuses on subjects like Myosin-light-chain phosphatase, which are connected to ROCK2.
He most often published in these fields:
- Cell biology (90.00%)
- Neuroscience (26.67%)
- Biochemistry (23.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Cell biology (90.00%)
- Neuroscience (26.67%)
- Biophysics (10.83%)
In recent papers he was focusing on the following fields of study:
Yuko Fukata mostly deals with Cell biology, Neuroscience, Biophysics, Autoantibody and Receptor.
His research combines HEK 293 cells and Cell biology.
The concepts of his Biophysics study are interwoven with issues in Live cell imaging, G protein-coupled receptor, Norepinephrine and Biosensor.
His work deals with themes such as Glutamate receptor and Intravenous Immunoglobulin Therapy, which intersect with Autoantibody.
His work carried out in the field of Receptor brings together such families of science as Cell, Green fluorescent protein, Hippocampal formation, Dopamine and Secretory pathway.
Yuko Fukata interconnects Hippocampus and Epilepsy in the investigation of issues within Hippocampal formation.
Between 2017 and 2021, his most popular works were:
- Human Cerebrospinal Fluid Monoclonal LGI1 Autoantibodies Increase Neuronal Excitability (18 citations)
- Human Cerebrospinal Fluid Monoclonal LGI1 Autoantibodies Increase Neuronal Excitability (18 citations)
- ABHD10 is an S-depalmitoylase affecting redox homeostasis through peroxiredoxin-5. (17 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Cell biology, Immunology, Autoantibody, HEK 293 cells and Lipid raft.
The study incorporates disciplines such as Endogeny and Ligand in addition to Cell biology.
His study in Limbic encephalitis, Isotype, Antibody, Monoclonal and Affinity maturation falls within the category of Immunology.
His Autoantibody research is multidisciplinary, incorporating elements of Epitope and Neurotransmitter receptor.
His HEK 293 cells study incorporates themes from Protein structure, Protein domain, Mutation and Receptor complex.
His Lipid raft study combines topics in areas such as Extracellular, Membrane protein, Cell junction and Lipid microdomain.
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.
