What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Genetics
His primary areas of investigation include Genetics, Genome-wide association study, Internal medicine, Single-nucleotide polymorphism and Endocrinology.
His Alcohol dependence research extends to Genetics, which is thematically connected.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both Meta-analysis, Lipid metabolism, Cholesterol and Medical genetics.
In the field of Internal medicine, his study on Body mass index and Obesity overlaps with subjects such as Transmembrane transporter activity and Kidney development.
The various areas that John Whitfield examines in his Single-nucleotide polymorphism study include Urate transport, Genetic variation and SLC22A12.
His Endocrinology research includes themes of Serum iron, Heart failure, Cardiology and Polymorphism.
His most cited work include:
- Biological, clinical and population relevance of 95 loci for blood lipids (2804 citations)
- Discovery and refinement of loci associated with lipid levels (1814 citations)
- Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts (755 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Internal medicine, Endocrinology, Genome-wide association study and Alcohol.
His Single-nucleotide polymorphism, Quantitative trait locus, Allele, Genetic association and Locus study are his primary interests in Genetics.
Internal medicine is closely attributed to Carbohydrate deficient transferrin in his study.
He is studying Cholesterol, which is a component of Endocrinology.
He works in the field of Alcohol, namely Alcohol dependence.
His Alcohol dependence study frequently involves adjacent topics like Psychiatry.
He most often published in these fields:
- Genetics (19.26%)
- Internal medicine (15.94%)
- Endocrinology (12.35%)
What were the highlights of his more recent work (between 2011-2021)?
- Genome-wide association study (10.23%)
- Genetics (19.26%)
- Internal medicine (15.94%)
In recent papers he was focusing on the following fields of study:
John Whitfield mainly focuses on Genome-wide association study, Genetics, Internal medicine, Genetic association and Single-nucleotide polymorphism.
His work deals with themes such as Alcohol dependence, Schizophrenia, Psychiatry, Bioinformatics and Disease, which intersect with Genome-wide association study.
As part of one scientific family, he deals mainly with the area of Genetics, narrowing it down to issues related to the Meta-analysis, and often Genome.
His Internal medicine research incorporates elements of Alcohol and Endocrinology.
His study in the field of Cholesterol also crosses realms of Mendelian randomization, Fractional anisotropy and White matter.
His studies in Genetic association integrate themes in fields like Transferrin, Kidney disease, Renal function, Demography and Kidney.
Between 2011 and 2021, his most popular works were:
- Discovery and refinement of loci associated with lipid levels (1814 citations)
- Common variants associated with plasma triglycerides and risk for coronary artery disease (598 citations)
- Genome-wide association analyses identify 18 new loci associated with serum urate concentrations (488 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Genetics
John Whitfield mostly deals with Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Internal medicine.
By researching both Genome-wide association study and Mendelian randomization, John Whitfield produces research that crosses academic boundaries.
In most of his Genetics studies, his work intersects topics such as Body mass index.
His studies deal with areas such as Transferrin, Genetic epidemiology, Kidney disease and Renal function as well as Genetic association.
His studies in Single-nucleotide polymorphism integrate themes in fields like Transferrin receptor, Genetic variation, Hemochromatosis and Locus.
His study connects Endocrinology and Internal medicine.
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.
