What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Cell biology, Biochemistry, Disease, Ubiquitin and Proteome.
His Cell biology research also works with subjects such as
- Amyloid precursor protein and related Molecular biology,
- Alzheimer's disease that intertwine with fields like Transgene and HEK 293 cells.
His study in the field of Glutaminolysis and Reactive oxygen species also crosses realms of GPX3, Glutamate dehydrogenase 1 and GPX1.
His work in Disease addresses issues such as Transcriptome, which are connected to fields such as Exome sequencing.
His work on Ubiquitin-conjugating enzyme and Ubiquitin ligase as part of general Ubiquitin research is frequently linked to Structural diversity, thereby connecting diverse disciplines of science.
In his research, Computational biology is intimately related to Proteomics, which falls under the overarching field of Proteome.
His most cited work include:
- Quantitative proteomics reveals the function of unconventional ubiquitin chains in proteasomal degradation. (856 citations)
- Continuous release of endostatin from microencapsulated engineered cells for tumor therapy. (326 citations)
- Continuous release of endostatin from microencapsulated engineered cells for tumor therapy. (326 citations)
What are the main themes of his work throughout his whole career to date?
Cell biology, Proteome, Disease, Proteomics and Neuroscience are his primary areas of study.
His research in Cell biology intersects with topics in RNA splicing, Neuroinflammation, Neurodegeneration and Microglia.
Within the field of Biochemistry and Genetics Nicholas T. Seyfried studies Proteome.
His Disease study incorporates themes from Cancer research, Cerebrospinal fluid, Immunology, Pathogenesis and Asymptomatic.
His study in Proteomics is interdisciplinary in nature, drawing from both Pathological, Pathology, Ubiquitin and RNA-binding protein.
His biological study spans a wide range of topics, including Amyloid and Cognitive decline.
He most often published in these fields:
- Cell biology (28.97%)
- Proteome (22.43%)
- Disease (19.16%)
What were the highlights of his more recent work (between 2019-2021)?
- Proteome (22.43%)
- Disease (19.16%)
- Computational biology (13.08%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Proteome, Disease, Computational biology, Cell biology and Neuroscience.
Nicholas T. Seyfried interconnects Proteomics and Multiplex in the investigation of issues within Proteome.
The various areas that Nicholas T. Seyfried examines in his Disease study include Humanized mouse and Cancer research.
His studies in Computational biology integrate themes in fields like Neuropathology, Transcriptome, Gene and Human brain.
His Cell biology study integrates concerns from other disciplines, such as Neuroinflammation, Acetylation and Neurodegeneration.
His Neuroscience research includes themes of Quantitative proteomics and Cognitive decline.
Between 2019 and 2021, his most popular works were:
- Large-scale proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation (113 citations)
- Posttranslational Modifications Mediate the Structural Diversity of Tauopathy Strains. (85 citations)
- Molecular Signatures of Neuroinflammation Induced by αSynuclein Aggregates in Microglial Cells. (21 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Proteome, Proteomics, Cell biology, Disease and Quantitative proteomics.
His Proteome research is multidisciplinary, incorporating perspectives in Multiplex, Computational biology and Human brain.
His work deals with themes such as Arginine, Phosphorylation, Mass spectrometry, Biomarker and RNA-binding protein, which intersect with Proteomics.
In Cell biology, Nicholas T. Seyfried works on issues like Neuroinflammation, which are connected to Cell sorting and GPNMB.
His Disease research incorporates themes from Cerebrospinal fluid and Pathophysiology.
In his research on the topic of Quantitative proteomics, Synucleinopathies, Synuclein, Downregulation and upregulation and Alpha-synuclein is strongly related with Microglia.
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