What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Genetics
John Danesh spends much of his time researching Internal medicine, Genetics, Prospective cohort study, Genome-wide association study and Myocardial infarction.
His Internal medicine research is multidisciplinary, incorporating elements of Endocrinology and Surgery.
John Danesh interconnects Type 2 diabetes and Lipoprotein in the investigation of issues within Genetics.
His research integrates issues of Cohort study, Relative risk, Confidence interval, Meta-analysis and C-reactive protein in his study of Prospective cohort study.
The study incorporates disciplines such as Mendelian randomization, Coronary artery disease, Medical genetics, Genetic association and Genetic architecture in addition to Genome-wide association study.
His research in Myocardial infarction intersects with topics in Nested case-control study and Bioinformatics.
His most cited work include:
- Analysis of protein-coding genetic variation in 60,706 humans (6694 citations)
- UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age (2705 citations)
- C-Reactive Protein and Other Circulating Markers of Inflammation in the Prediction of Coronary Heart Disease (2560 citations)
What are the main themes of his work throughout his whole career to date?
John Danesh mostly deals with Internal medicine, Genetics, Genome-wide association study, Disease and Prospective cohort study.
His biological study spans a wide range of topics, including Endocrinology and Cardiology.
His work on Genetics deals in particular with Gene, Genetic architecture, Exome, Minor allele frequency and Allele.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both Mendelian randomization, Genetic association, Bioinformatics and Medical genetics.
Disease and Blood pressure are frequently intertwined in his study.
He usually deals with Prospective cohort study and limits it to topics linked to Risk factor and Epidemiology.
He most often published in these fields:
- Internal medicine (45.27%)
- Genetics (34.81%)
- Genome-wide association study (35.41%)
What were the highlights of his more recent work (between 2019-2021)?
- Genetics (34.81%)
- Mendelian randomization (11.87%)
- Genome-wide association study (35.41%)
In recent papers he was focusing on the following fields of study:
John Danesh mainly focuses on Genetics, Mendelian randomization, Genome-wide association study, Disease and Internal medicine.
His study looks at the intersection of Genetics and topics like Meta-analysis with Lung cancer and Risk factor.
His Genome-wide association study research includes elements of Mendelian Randomization Analysis, Genetic association and Bioinformatics.
John Danesh studied Disease and Biomarker that intersect with Economic evaluation, Population health and Diabetes mellitus.
John Danesh has included themes like Gastroenterology and Endocrinology in his Internal medicine study.
His biological study spans a wide range of topics, including Prospective cohort study, Demography and Hazard ratio.
Between 2019 and 2021, his most popular works were:
- The Polygenic and Monogenic Basis of Blood Traits and Diseases (37 citations)
- Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases. (33 citations)
- Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. (33 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Mendelian randomization, Cancer and Medical genetics.
All of his Genetics and Blood cell and Genetic architecture investigations are sub-components of the entire Genetics study.
The various areas that John Danesh examines in his Mendelian randomization study include Proteome, Mendelian Randomization Analysis, Genetic association, Computational biology and Type 2 Diabetes Mellitus.
His Cancer research is multidisciplinary, relying on both Meta-analysis, Disease, Biomarker, Lung cancer and Risk factor.
The study incorporates disciplines such as Body mass index, Obesity, Environmental health, Proportional hazards model and Prospective cohort study in addition to Disease.
His Body mass index study is related to the wider topic of Internal medicine.
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