What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Surgery
- Disease
Internal medicine, Cardiology, Surgery, Cohort study and Risk assessment are her primary areas of study.
Her work is connected to Proportional hazards model, Epidemiology, Heart disease, Risk factor and Prospective cohort study, as a part of Internal medicine.
Her Epidemiology research includes elements of Subclinical infection and Incidence.
Cardiology connects with themes related to Hazard ratio in her study.
Her Surgery study integrates concerns from other disciplines, such as Diabetes mellitus, Anesthesia and Disease.
Her study in Cohort study is interdisciplinary in nature, drawing from both Stroke and Cohort.
Her most cited work include:
- Coronary artery calcium score and risk classification for coronary heart disease prediction. (801 citations)
- Comparison of Novel Risk Markers for Improvement in Cardiovascular Risk Assessment in Intermediate-Risk Individuals (714 citations)
- Distribution of Coronary Artery Calcium by Race, Gender, and Age Results from the Multi-Ethnic Study of Atherosclerosis (MESA) (560 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Internal medicine, Cardiology, Ethnic group, Disease and Cohort.
Her research ties Surgery and Internal medicine together.
The Cardiology study combines topics in areas such as Asymptomatic and Subclinical infection.
Her Ethnic group research is multidisciplinary, incorporating perspectives in Coronary artery calcification, Cardiovascular health and Epidemiology.
Her Disease research incorporates themes from Diabetes mellitus and Risk factor.
Robyn L. McClelland has researched Cohort in several fields, including Incidence, Blood pressure, Myocardial infarction, Physical therapy and Family history.
She most often published in these fields:
- Internal medicine (69.17%)
- Cardiology (48.06%)
- Ethnic group (23.89%)
What were the highlights of her more recent work (between 2016-2021)?
- Internal medicine (69.17%)
- Cardiology (48.06%)
- Disease (20.28%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Internal medicine, Cardiology, Disease, Ethnic group and Cohort.
She performs integrative study on Internal medicine and Mesa in her works.
Her Cardiology research is multidisciplinary, incorporating elements of Odds ratio and Confidence interval, Hazard ratio.
Robyn L. McClelland interconnects Health insurance, Cardiovascular health, Epidemiology and Environmental health in the investigation of issues within Ethnic group.
Her research investigates the connection with Cohort and areas like Cohort study which intersect with concerns in Atrial fibrillation and Coronary artery disease.
In her study, Thoracic aorta is inextricably linked to Proportional hazards model, which falls within the broad field of Prospective cohort study.
Between 2016 and 2021, her most popular works were:
- Ten-year association of coronary artery calcium with atherosclerotic cardiovascular disease (ASCVD) events: the multi-ethnic study of atherosclerosis (MESA). (144 citations)
- Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis. (137 citations)
- Clinical Implications of Revised Pooled Cohort Equations for Estimating Atherosclerotic Cardiovascular Disease Risk (66 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Disease
- Surgery
Her primary scientific interests are in Internal medicine, Cardiology, Proportional hazards model, Prospective cohort study and Disease.
Robyn L. McClelland regularly links together related areas like Diabetes mellitus in her Internal medicine studies.
Her Cardiology study combines topics in areas such as Magnetic resonance imaging, Left ventricular hypertrophy and Cohort.
Her Proportional hazards model research includes themes of Incidence, Pathology, Lung function and Hazard ratio.
Her Prospective cohort study study combines topics from a wide range of disciplines, such as Thoracic aorta and Cohort study.
Her Disease research integrates issues from Multivariable linear regression and Carotid ultrasound, Ultrasound.
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