D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 110 Citations 70,803 482 World Ranking 3151 National Ranking 1797

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Statistics
  • Disease

His primary areas of study are Internal medicine, Framingham Heart Study, Framingham Risk Score, Cohort study and Risk factor. His Internal medicine study incorporates themes from Diabetes mellitus, Endocrinology, Surgery and Cardiology. Michael J. Pencina has researched Framingham Heart Study in several fields, including Epidemiology, Obesity, Proportional hazards model and Incidence.

The Framingham Risk Score study combines topics in areas such as Odds ratio, Confidence interval, Atrial fibrillation, Heart disease and Cohort. Michael J. Pencina combines subjects such as Prospective cohort study and Physical therapy with his study of Cohort study. Risk factor and Heart failure are commonly linked in his work.

His most cited work include:

  • Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond (4520 citations)
  • General Cardiovascular Risk Profile for Use in Primary Care The Framingham Heart Study (4209 citations)
  • Assessing the performance of prediction models: a framework for traditional and novel measures. (2233 citations)

What are the main themes of his work throughout his whole career to date?

Michael J. Pencina focuses on Internal medicine, Cardiology, Framingham Risk Score, Framingham Heart Study and Risk factor. His studies deal with areas such as Diabetes mellitus, Endocrinology and Surgery as well as Internal medicine. Cardiology is closely attributed to Blood pressure in his work.

The study incorporates disciplines such as Prospective cohort study, Cohort and Intima-media thickness in addition to Framingham Risk Score. His Framingham Heart Study research focuses on Proportional hazards model and how it relates to Stroke. His research integrates issues of Epidemiology and Incidence in his study of Risk factor.

He most often published in these fields:

  • Internal medicine (58.25%)
  • Cardiology (29.60%)
  • Framingham Risk Score (22.58%)

What were the highlights of his more recent work (between 2016-2021)?

  • Internal medicine (58.25%)
  • Randomized controlled trial (10.06%)
  • Intensive care medicine (8.73%)

In recent papers he was focusing on the following fields of study:

Michael J. Pencina spends much of his time researching Internal medicine, Randomized controlled trial, Intensive care medicine, Disease and Observational study. His work carried out in the field of Internal medicine brings together such families of science as Diabetes mellitus and Cardiology. His work in the fields of Cardiology, such as Myocardial infarction, intersects with other areas such as In patient.

His Randomized controlled trial research is multidisciplinary, incorporating perspectives in Clinical trial, Heart failure, Weighting, Physical therapy and Telerehabilitation. He works mostly in the field of Hazard ratio, limiting it down to topics relating to Randomization and, in certain cases, Confidence interval, as a part of the same area of interest. His work deals with themes such as Cohort study, Event, Retrospective cohort study, Prospective cohort study and Risk factor, which intersect with Cohort.

Between 2016 and 2021, his most popular works were:

  • Effect of Linagliptin vs Placebo on Major Cardiovascular Events in Adults With Type 2 Diabetes and High Cardiovascular and Renal Risk: The CARMELINA Randomized Clinical Trial. (423 citations)
  • Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review (298 citations)
  • Prognostic Value of Noninvasive Cardiovascular Testing in Patients With Stable Chest Pain: Insights From the PROMISE Trial (Prospective Multicenter Imaging Study for Evaluation of Chest Pain). (169 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Statistics
  • Disease

Michael J. Pencina mostly deals with Internal medicine, Randomized controlled trial, Diabetes mellitus, Observational study and Physical therapy. Internal medicine is closely attributed to Cardiology in his study. His Cardiology research is multidisciplinary, relying on both Ldl cholesterol and Blood pressure.

The concepts of his Randomized controlled trial study are interwoven with issues in Absolute risk reduction, Clinical trial, Intensive care medicine, Evidence-based medicine and Dosing. His biological study spans a wide range of topics, including Lower risk, Sample, Logistic regression and Disease. His studies in Physical therapy integrate themes in fields like Imaging study, Radiology, Optimal management, Chest pain and Value.

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.

Best Publications

General Cardiovascular Risk Profile for Use in Primary Care The Framingham Heart Study

Ralph B. D’Agostino;Ramachandran S. Vasan;Michael J. Pencina;Philip A. Wolf.
Circulation (2008)

6910 Citations

Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond

Michael J Pencina;Ralph B D'Agostino;Ramachandran S Vasan.
Statistics in Medicine (2008)

5901 Citations

Assessing the performance of prediction models: a framework for traditional and novel measures.

Ewout W. Steyerberg;Andrew J. Vickers;Nancy R. Cook;Thomas Gerds.
Epidemiology (2010)

3494 Citations

Vitamin D Deficiency and Risk of Cardiovascular Disease

Thomas J. Wang;Michael J. Pencina;Sarah L. Booth;Paul F. Jacques.
Circulation (2008)

3242 Citations

Effect of Sitagliptin on Cardiovascular Outcomes in Type 2 Diabetes

Jennifer B Green;M. Angelyn Bethel;Paul W Armstrong;John B Buse.
The New England Journal of Medicine (2015)

2681 Citations

Arterial Stiffness and Cardiovascular Events The Framingham Heart Study

Gary F. Mitchell;Shih-Jen Hwang;Ramachandran S. Vasan;Martin G. Larson.
Circulation (2010)

2257 Citations

Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers

Michael J. Pencina;Ralph B. D'Agostino;Ewout W. Steyerberg.
Statistics in Medicine (2011)

2119 Citations

One-Year Cardiovascular Event Rates in Outpatients With Atherothrombosis

Ph. Gabriel Steg;Deepak L. Bhatt;Peter W. F. Wilson;Ralph D’Agostino.
JAMA (2007)

1721 Citations

Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation

Michael J. Pencina;Ralph B. D'Agostino.
Statistics in Medicine (2004)

1403 Citations

Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study

Renate B Schnabel;Lisa M Sullivan;Daniel Levy;Michael J Pencina.
The Lancet (2009)

1100 Citations

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