What is he best known for?
The fields of study he is best known for:
- Gene
- Enzyme
- Alzheimer's disease
Hyperphosphorylation, Tau protein, Alzheimer's disease, Phosphorylation and Biochemistry are his primary areas of study.
His Hyperphosphorylation research is multidisciplinary, incorporating perspectives in Protein phosphatase 2, DYRK1A, Human brain and Microtubule-associated protein.
Fei Liu combines subjects such as Neuroscience and Gene isoform with his study of Tau protein.
His Alzheimer's disease study combines topics in areas such as Endocrinology, Glucose uptake, Neurodegeneration and Cell biology.
Fei Liu has included themes like Calpain and Alternative splicing in his Neurodegeneration study.
His Phosphorylation research integrates issues from Molecular biology, Glycosylation and Kinase.
His most cited work include:
- Tau pathology in Alzheimer disease and other tauopathies (677 citations)
- Contributions of protein phosphatases PP1, PP2A, PP2B and PP5 to the regulation of tau phosphorylation (537 citations)
- O-GlcNAcylation regulates phosphorylation of tau: A mechanism involved in Alzheimer's disease (516 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cell biology, Phosphorylation, Hyperphosphorylation, Exon and Alternative splicing.
His research investigates the connection with Cell biology and areas like O glcnacylation which intersect with concerns in Ischemia.
To a larger extent, he studies Biochemistry with the aim of understanding Phosphorylation.
The Hyperphosphorylation study combines topics in areas such as Alzheimer's disease, Tau protein, Neurodegeneration and Neuroscience, Human brain.
His work in Alzheimer's disease addresses subjects such as Endocrinology, which are connected to disciplines such as Downregulation and upregulation.
His research investigates the link between Exon and topics such as DYRK1A that cross with problems in Kinase activity.
He most often published in these fields:
- Cell biology (43.63%)
- Phosphorylation (37.75%)
- Hyperphosphorylation (32.84%)
What were the highlights of his more recent work (between 2016-2021)?
- Cell biology (43.63%)
- Phosphorylation (37.75%)
- Internal medicine (22.06%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cell biology, Phosphorylation, Internal medicine, Hyperphosphorylation and Endocrinology.
His work deals with themes such as Sirtuin, CREB and Alternative splicing, Exon, which intersect with Cell biology.
A large part of his Phosphorylation studies is devoted to Protein kinase A.
His research integrates issues of Pathological, Disease, Pathology, Tau protein and Genetically modified mouse in his study of Hyperphosphorylation.
His Endocrinology study incorporates themes from Endopeptidase, Neuroinflammation and Downregulation and upregulation.
His work carried out in the field of Protein phosphatase 2 brings together such families of science as Dephosphorylation and Kinase.
Between 2016 and 2021, his most popular works were:
- Tau passive immunization inhibits not only tau but also Aβ pathology. (72 citations)
- Multifactorial Hypothesis and Multi-Targets for Alzheimer’s Disease (46 citations)
- Relevance of Phosphorylation and Truncation of Tau to the Etiopathogenesis of Alzheimer's Disease. (42 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Enzyme
- Internal medicine
His scientific interests lie mostly in Hyperphosphorylation, Internal medicine, Endocrinology, Tauopathy and Neuroscience.
His Hyperphosphorylation study is concerned with the larger field of Phosphorylation.
In his work, In vivo is strongly intertwined with Pathological, which is a subfield of Phosphorylation.
In his research, Glucose uptake is intimately related to Human brain, which falls under the overarching field of Endocrinology.
Fei Liu combines subjects such as Frontotemporal lobar degeneration, Protein aggregation, Immunoglobulin G, Molecular biology and Intron with his study of Tauopathy.
His Neuroscience research is multidisciplinary, incorporating elements of Disease and Drug discovery.
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.
