What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Disease
His primary areas of investigation include Internal medicine, Demography, Gerontology, Body mass index and Endocrinology.
His research brings together the fields of Oncology and Internal medicine.
His Demography research is multidisciplinary, relying on both Epidemiology, Linear regression, Personality Assessment Inventory, Regression analysis and Physical exercise.
His Gerontology research includes elements of Cross-sectional study, Psychosocial, Public health, Health promotion and Socioeconomic status.
His research integrates issues of Weight gain and Obesity in his study of Body mass index.
His work is dedicated to discovering how Endocrinology, C-reactive protein are connected with Observational study, Construct validity, Proinflammatory cytokine and Women's Health Initiative and other disciplines.
His most cited work include:
- The Effect of Social Desirability and Social Approval on Self-Reports of Physical Activity (734 citations)
- Designing and developing a literature-derived, population-based dietary inflammatory index (668 citations)
- Social Desirability Bias in Dietary Self-Report May Compromise the Validity of Dietary Intake Measures (637 citations)
What are the main themes of his work throughout his whole career to date?
James R. Hébert mostly deals with Internal medicine, Body mass index, Gerontology, Cancer and Demography.
His Internal medicine study combines topics from a wide range of disciplines, such as Endocrinology and Oncology.
His studies deal with areas such as Cross-sectional study, Prospective cohort study and Obesity as well as Body mass index.
His studies in Gerontology integrate themes in fields like Health equity and Public health.
James R. Hébert combines subjects such as Epidemiology and Incidence with his study of Demography.
His Odds ratio research is multidisciplinary, incorporating perspectives in Logistic regression and Risk factor.
He most often published in these fields:
- Internal medicine (48.95%)
- Body mass index (17.45%)
- Gerontology (16.39%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (48.95%)
- Confidence interval (12.88%)
- Odds ratio (13.93%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Internal medicine, Confidence interval, Odds ratio, Logistic regression and Body mass index.
His research in Case-control study, Quartile, Prospective cohort study, Inflammation and Cohort are components of Internal medicine.
The Case-control study study which covers Oncology that intersects with Breast cancer.
His research investigates the connection between Prospective cohort study and topics such as Hazard ratio that intersect with issues in Epidemiology.
His study explores the link between Confidence interval and topics such as Confounding that cross with problems in Systemic inflammation.
James R. Hébert usually deals with Body mass index and limits it to topics linked to Obesity and Anthropometry and Demography.
Between 2017 and 2021, his most popular works were:
- Dietary Inflammatory Index and Cardiovascular Risk and Mortality—A Meta-Analysis (76 citations)
- Design, Development and Construct Validation of the Children’s (68 citations)
- Perspective: The Dietary Inflammatory Index (DII)—Lessons Learned, Improvements Made, and Future Directions (51 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Disease
James R. Hébert spends much of his time researching Internal medicine, Odds ratio, Cohort, Logistic regression and Confidence interval.
His Internal medicine study focuses mostly on Cancer, Prospective cohort study, Quartile, Body mass index and Case-control study.
His Body mass index research focuses on Obesity and how it connects with Type 2 diabetes and Gerontology.
His Cohort study combines topics in areas such as Pregnancy, Incidence, Inflammation, Proinflammatory cytokine and Risk factor.
His research investigates the link between Proinflammatory cytokine and topics such as Anthropometry that cross with problems in Demography.
The concepts of his Logistic regression study are interwoven with issues in Gastroenterology, Increased risk and C-reactive protein.
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