What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Disease
Paul M. Ridker mostly deals with Internal medicine, Endocrinology, Myocardial infarction, C-reactive protein and Risk factor.
He combines subjects such as Surgery and Cardiology with his study of Internal medicine.
He has researched Endocrinology in several fields, including Odds ratio and Genome-wide association study.
His Myocardial infarction research focuses on subjects like Disease, which are linked to Intensive care medicine and Bioinformatics.
His C-reactive protein research incorporates elements of Gastroenterology, Framingham Risk Score and Metabolic syndrome.
His research integrates issues of Clinical trial, Epidemiology, Relative risk, Blood pressure and Vascular disease in his study of Risk factor.
His most cited work include:
- Inflammation and Atherosclerosis (6124 citations)
- C-Reactive Protein and Other Markers of Inflammation in the Prediction of Cardiovascular Disease in Women (5151 citations)
- Inflammation, Aspirin, and the Risk of Cardiovascular Disease in Apparently Healthy Men (4886 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Internal medicine, Endocrinology, C-reactive protein, Myocardial infarction and Cardiology.
The concepts of his Internal medicine study are interwoven with issues in Diabetes mellitus and Surgery.
His Endocrinology research is multidisciplinary, relying on both Gastroenterology, Rosuvastatin and Odds ratio.
Paul M. Ridker regularly ties together related areas like Vascular disease in his C-reactive protein studies.
His Myocardial infarction study combines topics in areas such as Stroke, Aspirin, Epidemiology and Cohort.
Paul M. Ridker has included themes like Framingham Risk Score and Blood pressure in his Cardiology study.
He most often published in these fields:
- Internal medicine (64.51%)
- Endocrinology (21.60%)
- C-reactive protein (18.57%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (64.51%)
- Genome-wide association study (18.84%)
- Genetics (21.05%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Internal medicine, Genome-wide association study, Genetics, Disease and Hazard ratio.
His Internal medicine research is multidisciplinary, incorporating elements of Placebo and Oncology.
As part of the same scientific family, Paul M. Ridker usually focuses on Genetics, concentrating on Meta-analysis and intersecting with Risk factor.
His study in Disease is interdisciplinary in nature, drawing from both Inflammation, Epidemiology and Cohort.
His Hazard ratio study combines topics from a wide range of disciplines, such as Gastroenterology, Cancer, Prospective cohort study and Odds ratio.
His studies in Myocardial infarction integrate themes in fields like Stroke, Diabetes mellitus and Coronary artery disease.
Between 2017 and 2021, his most popular works were:
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
- Low-Dose Methotrexate for the Prevention of Atherosclerotic Events (402 citations)
- Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. (284 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Disease
His primary areas of study are Internal medicine, Genome-wide association study, Genetics, Hazard ratio and Genetic association.
His Internal medicine study combines topics from a wide range of disciplines, such as Placebo and Oncology.
Paul M. Ridker combines subjects such as Genetic architecture, Mendelian Randomization Analysis, Polymorphism and Medical genetics with his study of Genome-wide association study.
Paul M. Ridker has researched Genetics in several fields, including Blood lipids, Cholesterol and Lipid metabolism.
His Genetic association study combines topics in areas such as Pulse pressure, Blood pressure, Bioinformatics, Case-control study and Expression quantitative trait loci.
The concepts of his Myocardial infarction study are interwoven with issues in Stroke, Diabetes mellitus and C-reactive protein.
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