What is he best known for?
The fields of study he is best known for:
His primary areas of study are Cell biology, RALB, Cancer research, Ral GTP-Binding Proteins and Particle physics.
The concepts of his Cell biology study are interwoven with issues in Autophagy and Biochemistry.
His RALB research focuses on subjects like Exocyst, which are linked to RALA, ULK1, Biogenesis, Autophagosome and Autophagosome assembly.
His work carried out in the field of Cancer research brings together such families of science as DNA methylation, Cyclin-dependent kinase, Cyclin A2, Gene duplication and Epigenetics.
In his research on the topic of Ral GTP-Binding Proteins, Rap GTP-binding protein is strongly related with Ral Guanine Nucleotide Exchange Factor.
His work in the fields of Particle physics, such as Minimal Supersymmetric Standard Model, Standard Model, Electroweak interaction and Physics beyond the Standard Model, intersects with other areas such as Technicolor.
His most cited work include:
- Review of Particle Physics (6209 citations)
- Review of Particle Physics (6209 citations)
- APS : Review of Particle Physics, 2018-2019 (5094 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Cell biology, Cancer research, Signal transduction, Genetics and Cancer.
His study ties his expertise on Exocyst together with the subject of Cell biology.
His Cancer research study integrates concerns from other disciplines, such as Cell culture, Carcinogenesis, TANK-binding kinase 1, KRAS and Programmed cell death.
His research in Signal transduction intersects with topics in Cell growth and Protein kinase A, Phosphorylation.
His Cancer research includes elements of Lung cancer and Bioinformatics.
His studies deal with areas such as Autophagy, Ral Guanine Nucleotide Exchange Factor and Ral GTP-Binding Proteins as well as RALB.
He most often published in these fields:
- Cell biology (31.05%)
- Cancer research (23.29%)
- Signal transduction (16.89%)
What were the highlights of his more recent work (between 2016-2020)?
- Computational biology (15.53%)
- Cancer research (23.29%)
- Cancer (15.07%)
In recent papers he was focusing on the following fields of study:
Michael A. White mainly investigates Computational biology, Cancer research, Cancer, Small molecule and Lung cancer.
Michael A. White has included themes like Gene expression, Gene, Functional annotation, Signal transduction and Drug discovery in his Computational biology study.
His Cancer research research integrates issues from Carcinogenesis, Non small cell, KRAS and Gene knockdown.
Michael A. White focuses mostly in the field of Cancer, narrowing it down to matters related to Genomics and, in some cases, Regulation of gene expression and Chromatin.
In his study, Cell biology is inextricably linked to Ageing, which falls within the broad field of TFEB.
His work deals with themes such as Biogenesis and Drug delivery, Nanocarriers, which intersect with Cell biology.
Between 2016 and 2020, his most popular works were:
- APS : Review of Particle Physics, 2018-2019 (5094 citations)
- Oxford University Press : Review of Particle Physics, 2020-2021 (421 citations)
- Correction: Corrigendum: The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies (286 citations)
In his most recent research, the most cited papers focused on:
Michael A. White mainly focuses on Cancer, Computational biology, Cell biology, Cell culture and Cancer research.
In his work, Upstream and downstream is strongly intertwined with Signal transduction, which is a subfield of Cancer.
The various areas that Michael A. White examines in his Computational biology study include Druggability, Chemical biology and Lung cancer.
His Cell biology research is multidisciplinary, incorporating perspectives in Drug delivery and Nanocarriers.
His Cell culture research includes themes of Cancer cell, Aurora Kinase A, Mutation and VX-680.
The Cancer research study combines topics in areas such as Epithelial–mesenchymal transition, Aurora inhibitor, Interactome, Nuclear protein and Programmed cell death.
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