What is he best known for?
The fields of study he is best known for:
Julian F.B. Mercer spends much of his time researching Menkes disease, Biochemistry, ATP7A, Copper-transporting ATPases and Copper deficiency.
His Menkes disease research incorporates elements of P-type ATPase, ATPase, Phenotype, Neurodegeneration and Efflux.
His ATP7A research is multidisciplinary, relying on both Transport protein and Cell biology.
His Copper-transporting ATPases research integrates issues from ATP7A Gene and Secretory pathway.
His work carried out in the field of Copper deficiency brings together such families of science as Genetics, Occipital horn syndrome, Homeostasis and Menkes Kinky Hair Syndrome.
His Bioinformatics study incorporates themes from Internal medicine, Disease, Endocrinology and Amyloid precursor protein.
His most cited work include:
- Copper in disorders with neurological symptoms: Alzheimer's, Menkes, and Wilson diseases. (369 citations)
- Trafficking of the copper-ATPases, ATP7A and ATP7B: Role in copper homeostasis (258 citations)
- The molecular basis of copper-transport diseases. (253 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Biochemistry, ATP7A, Menkes disease, Cell biology and ATPase.
Biochemistry is represented through his Copper-transporting ATPases, P-type ATPase, Wilson disease protein, Copper homeostasis and P-type ATPases research.
His research on ATP7A also deals with topics like
- Endosome most often made with reference to Transport protein,
- Glutathione which is related to area like Copper metabolism.
His Menkes disease research is multidisciplinary, incorporating perspectives in Molecular biology, Copper deficiency, Internal medicine and Endocrinology.
His research in Cell biology intersects with topics in Cell, Exocytosis and Central nervous system.
The various areas that Julian F.B. Mercer examines in his ATPase study include Cell culture, Chaperone and Yeast.
He most often published in these fields:
- Biochemistry (50.47%)
- ATP7A (45.79%)
- Menkes disease (37.38%)
What were the highlights of his more recent work (between 2008-2016)?
- Biochemistry (50.47%)
- ATP7A (45.79%)
- Cell biology (29.91%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Biochemistry, ATP7A, Cell biology, Menkes disease and Copper deficiency.
His work in ATP7A addresses issues such as P-type ATPase, which are connected to fields such as Oxidoreductase and Cysteine.
His study in Cell biology is interdisciplinary in nature, drawing from both Neurotoxicity, Central nervous system and Dorsal root ganglion.
Particularly relevant to Occipital horn syndrome is his body of work in Menkes disease.
His work deals with themes such as Menkes Kinky Hair Syndrome, Reactive oxygen species, Neurodegeneration and Neuroscience, which intersect with Copper deficiency.
His Copper-transporting ATPases research incorporates themes from Wilson disease protein and Protein degradation.
Between 2008 and 2016, his most popular works were:
- Metabolism and functions of copper in brain. (205 citations)
- Missense mutations in the copper transporter gene ATP7A cause X-linked distal hereditary motor neuropathy. (137 citations)
- Copper pathology in vulnerable brain regions in Parkinson's disease. (135 citations)
In his most recent research, the most cited papers focused on:
Julian F.B. Mercer mainly focuses on Menkes disease, Biochemistry, Copper deficiency, ATP7A and Human brain.
His studies deal with areas such as Genetics and Missense mutation as well as Menkes disease.
The study incorporates disciplines such as Neuroglia and Astrocyte in addition to Biochemistry.
His Copper deficiency study combines topics from a wide range of disciplines, such as Neurodegeneration, Occipital horn syndrome, X chromosome, Genetic heterogeneity and Neuroscience.
His research in ATP7A is mostly concerned with Copper-transporting ATPases.
Julian F.B. Mercer interconnects Parkinson's disease and Alpha-synuclein in the investigation of issues within Human brain.
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.
