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 72 Citations 35,022 271 World Ranking 16102 National Ranking 8202

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Cancer
  • Disease

The scientist’s investigation covers issues in Internal medicine, Risk factor, Surgery, Multivariate analysis and Cohort study. His Risk factor study combines topics from a wide range of disciplines, such as Young adult, Multifactorial Inheritance, Genetic correlation and Heritability. His Surgery research integrates issues from Treatment decision making, Watchful waiting and Prostate.

His studies deal with areas such as Regression analysis, Linear regression, Econometrics and Confidence interval as well as Multivariate analysis. His work carried out in the field of Regression analysis brings together such families of science as Logistic regression, Proportional hazards model, Variables and Sample size determination. John Concato has included themes like Research design, Emergency medicine, Stroke, Pediatrics and Cohort in his Cohort study study.

His most cited work include:

  • A simulation study of the number of events per variable in logistic regression analysis. (4600 citations)
  • A simulation study of the number of events per variable in logistic regression analysis. (4600 citations)
  • Randomized, controlled trials, observational studies, and the hierarchy of research designs. (2734 citations)

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

His scientific interests lie mostly in Internal medicine, Physical therapy, Stroke, Odds ratio and Cohort study. His Internal medicine study combines topics in areas such as Oncology and Cardiology. His Stroke study integrates concerns from other disciplines, such as Logistic regression, Intensive care medicine, Retrospective cohort study and Emergency medicine.

As part of one scientific family, John Concato deals mainly with the area of Odds ratio, narrowing it down to issues related to the Confidence interval, and often Multivariate analysis and Surgery. The study incorporates disciplines such as Econometrics and Linear regression in addition to Multivariate analysis. In his study, Biobank is strongly linked to Cohort, which falls under the umbrella field of Cohort study.

He most often published in these fields:

  • Internal medicine (53.73%)
  • Physical therapy (18.81%)
  • Stroke (17.31%)

What were the highlights of his more recent work (between 2017-2021)?

  • Genome-wide association study (10.45%)
  • Internal medicine (53.73%)
  • Psychiatry (10.15%)

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

His primary scientific interests are in Genome-wide association study, Internal medicine, Psychiatry, Cohort and Clinical psychology. His study on Genome-wide association study also encompasses disciplines like

  • Genetic correlation that intertwine with fields like Risk factor,
  • Bioinformatics that intertwine with fields like Venous thromboembolism and Thrombosis,
  • Veterans Affairs that connect with fields like Genotyping. His Internal medicine study often links to related topics such as Cardiology.

His Cardiology research is multidisciplinary, relying on both Arousal and Physical therapy. His Cohort research is multidisciplinary, incorporating elements of Biobank and Logistic regression. His studies in Logistic regression integrate themes in fields like Biomarker, Heart disease and Population study.

Between 2017 and 2021, his most popular works were:

  • Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program. (203 citations)
  • Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations (133 citations)
  • Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations (133 citations)

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

  • Internal medicine
  • Cancer
  • Disease

His primary areas of investigation include Genome-wide association study, Internal medicine, Disease, Cardiology and Alcohol use disorder. His work deals with themes such as Apolipoprotein L1 and Risk allele, which intersect with Internal medicine. In his research on the topic of Cardiology, Stroke, Physical therapy, Survival analysis and Breathing is strongly related with Arousal.

As a part of the same scientific study, he usually deals with the Genetic correlation, concentrating on Risk factor and frequently concerns with Heritability. The Obstructive sleep apnea study combines topics in areas such as Depression and Respiratory system. His Odds ratio research incorporates themes from Bipolar disorder and Comorbidity.

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

A simulation study of the number of events per variable in logistic regression analysis.

Peter Peduzzi;John Concato;John Concato;Elizabeth Kemper;Elizabeth Kemper;Theodore R. Holford.
Journal of Clinical Epidemiology (1996)

7300 Citations

Randomized, controlled trials, observational studies, and the hierarchy of research designs.

John Concato;Nirav Shah;Ralph I. Horwitz.
The New England Journal of Medicine (2000)

3908 Citations

Obstructive sleep apnea as a risk factor for stroke and death.

H. Klar Yaggi;John Concato;Walter N. Kernan;Judith H. Lichtman.
The New England Journal of Medicine (2005)

3556 Citations

Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates

Peter Peduzzi;John Concato;John Concato;Alvan R. Feinstein;Theodore R. Holford.
Journal of Clinical Epidemiology (1995)

1786 Citations

The risk of determining risk with multivariable models.

John Concato;Alvan R. Feinstein;Theodore R. Holford.
Annals of Internal Medicine (1993)

1258 Citations

Importance of Functional Measures in Predicting Mortality Among Older Hospitalized Patients

Sharon K. Inouye;Peter N. Peduzzi;Julie T. Robison;John S. Hughes.
JAMA (1998)

968 Citations

Biomarkers for the diagnosis and risk stratification of acute kidney injury: a systematic review

S.G. Coca;S.G. Coca;R. Yalavarthy;J. Concato;J. Concato;C.R. Parikh;C.R. Parikh.
Kidney International (2008)

867 Citations

Importance of events per independent variable in proportional hazards analysis I. Background, goals, and general strategy

John Concato;Peter Peduzzi;Peter Peduzzi;Theodore R. Holford;Alvan R. Feinstein.
Journal of Clinical Epidemiology (1995)

737 Citations

Million Veteran Program: A mega-biobank to study genetic influences on health and disease.

John Michael Gaziano;John Michael Gaziano;John Concato;Mary Brophy;Mary Brophy;Louis Fiore;Louis Fiore.
Journal of Clinical Epidemiology (2016)

547 Citations

Obstructive sleep apnea as a risk factor for type 2 diabetes.

Nader Botros;John Concato;John Concato;Vahid Mohsenin;Bernardo Selim.
The American Journal of Medicine (2009)

486 Citations

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