D-Index & Metrics Best Publications

D-Index & Metrics

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 92 Citations 40,779 418 World Ranking 5313 National Ranking 240

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Statistics
  • Surgery

The scientist’s investigation covers issues in Internal medicine, Proportional hazards model, Statistics, Surgery and Survival analysis. The Internal medicine study combines topics in areas such as Oncology and Cardiology. His Oncology research includes elements of Breast cancer, Mammary gland and Cyclophosphamide.

As part of one scientific family, he deals mainly with the area of Proportional hazards model, narrowing it down to issues related to the Covariate, and often Censoring. Martin Schumacher has included themes like Econometrics and Rank in his Statistics study. His study explores the link between Econometrics and topics such as Regression analysis that cross with problems in Artificial intelligence and Brier score.

His most cited work include:

  • Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. (919 citations)
  • Poly‐Lactic‐Acid for coating of endovascular stents: preliminary results in canine experimental av‐fistulae (565 citations)
  • A bootstrap resampling procedure for model building: Application to the cox regression model (499 citations)

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

Martin Schumacher mainly investigates Internal medicine, Surgery, Statistics, Oncology and Econometrics. His Internal medicine study frequently involves adjacent topics like Cardiology. Martin Schumacher regularly ties together related areas like Radiology in his Surgery studies.

His study in Covariate, Proportional hazards model, Estimator, Survival analysis and Regression analysis falls within the category of Statistics. His biological study spans a wide range of topics, including Event and Competing risks. His study in Breast cancer is interdisciplinary in nature, drawing from both Cyclophosphamide, Chemotherapy and Radiation therapy.

He most often published in these fields:

  • Internal medicine (24.35%)
  • Surgery (18.34%)
  • Statistics (16.56%)

What were the highlights of his more recent work (between 2014-2021)?

  • Statistics (16.56%)
  • Internal medicine (24.35%)
  • Proportional hazards model (9.58%)

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

Statistics, Internal medicine, Proportional hazards model, Hazard ratio and Covariate are his primary areas of study. Statistics is closely attributed to Econometrics in his study. His Internal medicine research is multidisciplinary, relying on both Geriatric assessment, Oncology and Cardiology.

His research on Proportional hazards model concerns the broader Surgery. His Hazard ratio study incorporates themes from Disease and Intensive care, Intensive care medicine. His studies in Covariate integrate themes in fields like Regression, Regression analysis, Estimation, Intensive care unit and Data set.

Between 2014 and 2021, his most popular works were:

  • How Does Empagliflozin Reduce Cardiovascular Mortality? Insights From a Mediation Analysis of the EMPA-REG OUTCOME Trial (285 citations)
  • Systemic Immunomodulating Therapies for Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis: A Systematic Review and Meta-analysis. (121 citations)
  • A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients (107 citations)

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

  • Internal medicine
  • Surgery
  • Statistics

His primary areas of study are Internal medicine, Statistics, Hazard ratio, Proportional hazards model and Surgery. As part of his studies on Internal medicine, he often connects relevant areas like Cardiology. In the field of Statistics, his study on Statistical hypothesis testing, Kaplan-Meier Estimate and Covariate overlaps with subjects such as Context.

His work is dedicated to discovering how Covariate, Nested case-control study are connected with Econometrics and other disciplines. The Hazard ratio study combines topics in areas such as Event, Observational study, Survival analysis and Intensive care medicine. His Proportional hazards model research includes themes of Multivariate analysis, Hematocrit, Randomized controlled trial, Cause of death and Regression analysis.

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

Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.

Douglas G. Altman;Berthold Lausen;Willi Sauerbrei;Martin Schumacher.
Journal of the National Cancer Institute (1994)

1115 Citations

Poly‐Lactic‐Acid for coating of endovascular stents: preliminary results in canine experimental av‐fistulae

F. Schellhammer;M. Schumacher;A. Berlis;H. G. Bloss.
Materialwissenschaft Und Werkstofftechnik (2001)

888 Citations

Assessment and comparison of prognostic classification schemes for survival data

Erika Graf;Claudia Schmoor;Willi Sauerbrei;Martin Schumacher.
Statistics in Medicine (1999)

657 Citations

Recombinant human erythropoiesis-stimulating agents and mortality in patients with cancer: a meta-analysis of randomised trials.

Julia Bohlius;Kurt Schmidlin;Corinne Brillant;Guido Schwarzer.
The Lancet (2009)

652 Citations

A European study of HLA-B in Stevens-Johnson syndrome and toxic epidermal necrolysis related to five high-risk drugs.

Christine Lonjou;Nicolas Borot;Peggy Sekula;Neil Ledger.
Pharmacogenetics and Genomics (2008)

637 Citations

Undue reliance on I(2) in assessing heterogeneity may mislead.

Gerta Rücker;Guido Schwarzer;James R Carpenter;James R Carpenter;Martin Schumacher.
BMC Medical Research Methodology (2008)

634 Citations

A bootstrap resampling procedure for model building: Application to the cox regression model

Willi Sauerbrei;Martin Schumacher.
Statistics in Medicine (1992)

620 Citations

A marker for Stevens-Johnson syndrome …: ethnicity matters

C Lonjou;L Thomas;N Borot;N Ledger.
Pharmacogenomics Journal (2006)

466 Citations

Maximally selected rank statistics

Berthold Lausen;Martin Schumacher.
Biometrics (1992)

437 Citations

Goserelin Versus Cyclophosphamide, Methotrexate, and Fluorouracil as Adjuvant Therapy in Premenopausal Patients With Node-Positive Breast Cancer: The Zoladex Early Breast Cancer Research Association Study

W Jonat;M Kaufmann;W Sauerbrei;R Blamey.
Journal of Clinical Oncology (2002)

426 Citations

Best Scientists Citing Martin Schumacher

Frederick E. Shelton

Frederick E. Shelton

Johnson & Johnson (United States)

Publications: 325

Jerome R. Morgan

Jerome R. Morgan

Johnson & Johnson (United States)

Publications: 112

Jeffrey S. Swayze

Jeffrey S. Swayze

Johnson & Johnson (United States)

Publications: 75

Chester O. Baxter

Chester O. Baxter

Johnson & Johnson (United States)

Publications: 73

Douglas G. Altman

Douglas G. Altman

University of Oxford

Publications: 71

Petra Gastmeier

Petra Gastmeier

Charité - University Medicine Berlin

Publications: 70

Gabriel N. Hortobagyi

Gabriel N. Hortobagyi

The University of Texas MD Anderson Cancer Center

Publications: 64

Kathleen I. Pritchard

Kathleen I. Pritchard

Sunnybrook Health Science Centre

Publications: 62

Richard D. Gelber

Richard D. Gelber

Harvard University

Publications: 60

Taylor W. Aronhalt

Taylor W. Aronhalt

Johnson & Johnson (United States)

Publications: 56

Alan S. Coates

Alan S. Coates

University of Sydney

Publications: 54

Daniel F. Hayes

Daniel F. Hayes

University of Michigan–Ann Arbor

Publications: 53

Mitch Dowsett

Mitch Dowsett

Breast Cancer Research Foundation

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Axel Benner

Axel Benner

German Cancer Research Center

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Eric P. Winer

Eric P. Winer

Harvard University

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Michael Markl

Michael Markl

Northwestern University

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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