What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in LRRK2, Kinase activity, Genetics, Parkinson's disease and Biochemistry.
The various areas that Patrick A. Lewis examines in his LRRK2 study include Kinase, Cell biology and Cyclin-dependent kinase 2.
His studies deal with areas such as Parkin, Disease and Alpha-synuclein as well as Genetics.
His Parkinson's disease research is multidisciplinary, incorporating perspectives in Putamen and Cellular pathology.
As a part of the same scientific study, Patrick A. Lewis usually deals with the PI3K/AKT/mTOR pathway, concentrating on Autophagy and frequently concerns with Physiology.
His Genome-wide association study study incorporates themes from Programmed cell death and Bioinformatics.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (4170 citations)
- Kinase activity is required for the toxic effects of mutant LRRK2/dardarin. (600 citations)
What are the main themes of his work throughout his whole career to date?
LRRK2, Parkinson's disease, Disease, Genetics and Cell biology are his primary areas of study.
His studies in LRRK2 integrate themes in fields like Autophagy, GTPase and Leucine-rich repeat, Kinase, Kinase activity.
His research on Autophagy frequently connects to adjacent areas such as Programmed cell death.
His study in Parkinson's disease is interdisciplinary in nature, drawing from both Neurodegeneration, Neuroscience, Parkinsonism and Bioinformatics.
His study on Disease also encompasses disciplines like
- Genome-wide association study that intertwine with fields like Genetic association, Computational biology and Meta-analysis,
- Gene which is related to area like Frontotemporal lobar degeneration,
- Human genetics and related LRRK2 Gene.
He interconnects Golgi apparatus, Cell and Loss function in the investigation of issues within Cell biology.
He most often published in these fields:
- LRRK2 (72.51%)
- Parkinson's disease (53.22%)
- Disease (35.09%)
What were the highlights of his more recent work (between 2018-2021)?
- Disease (35.09%)
- LRRK2 (72.51%)
- Parkinson's disease (53.22%)
In recent papers he was focusing on the following fields of study:
Patrick A. Lewis focuses on Disease, LRRK2, Parkinson's disease, Cell biology and Gene.
His biological study spans a wide range of topics, including Leucine-rich repeat, Kinase and Rab.
His Parkinson's disease research incorporates elements of Pediatrics and MEDLINE.
His Cell biology research incorporates themes from Golgi apparatus, Loss function and Autophagy.
His Autolysosome study in the realm of Autophagy interacts with subjects such as Interpretation and Set.
His Gene research is multidisciplinary, incorporating elements of Computational biology and Bioinformatics.
Between 2018 and 2021, his most popular works were:
- Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies (353 citations)
- Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) (38 citations)
- DNAJC proteins and pathways to parkinsonism. (14 citations)
In his most recent research, the most cited papers focused on:
Patrick A. Lewis mainly investigates Disease, Pathogenesis, Intracellular vesicle, Genetics and Context.
His study of Parkinson's disease is a part of Disease.
His Parkinson's disease study integrates concerns from other disciplines, such as Meta-analysis and Single-nucleotide polymorphism, Genetic association.
His Intracellular vesicle research covers fields of interest such as Kinase, Alzheimer's disease, Cell biology, LRRK2 and Amyotrophic lateral sclerosis.
Patrick A. Lewis frequently studies issues relating to Parkinsonism and Genetics.
His Genome-wide association study study combines topics in areas such as Genetic analysis, Mendelian inheritance, Alpha-synuclein and Bioinformatics.
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