H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Medicine D-index 161 Citations 278,491 840 World Ranking 260 National Ranking 2

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Cancer
  • Statistics

The scientist’s investigation covers issues in Internal medicine, Meta-analysis, Observational study, Acquired immunodeficiency syndrome and MEDLINE. His Internal medicine research includes themes of Surgery and Immunology. His Meta-analysis research integrates issues from Statistics, Confidence interval and Clinical trial.

His work carried out in the field of Observational study brings together such families of science as Checklist, Systematic review, Epidemiology and Case-control study. His Acquired immunodeficiency syndrome study incorporates themes from Mortality rate, Demography, Viral load and Cohort study. His MEDLINE research is multidisciplinary, relying on both Odds ratio, Pediatrics and Intensive care medicine.

His most cited work include:

  • Bias in meta-analysis detected by a simple, graphical test (29082 citations)
  • The Strengthening the Reporting of Observational Studies in Epidemiology [STROBE] statement: guidelines for reporting observational studies (10090 citations)
  • The Strengthening the Reporting of Observational Studies in Epidemiology [STROBE] statement: guidelines for reporting observational studies (10090 citations)

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

His primary scientific interests are in Internal medicine, Cohort study, Acquired immunodeficiency syndrome, Demography and Confidence interval. Matthias Egger has included themes like Surgery and Immunology in his Internal medicine study. He works mostly in the field of Cohort study, limiting it down to topics relating to Hazard ratio and, in certain cases, Proportional hazards model, as a part of the same area of interest.

In his work, Public health, Observational study and MEDLINE is strongly intertwined with Epidemiology, which is a subfield of Acquired immunodeficiency syndrome. His Observational study course of study focuses on Clinical study design and Checklist and Strengthening the reporting of observational studies in epidemiology. His research integrates issues of Systematic review and Randomized controlled trial in his study of Meta-analysis.

He most often published in these fields:

  • Internal medicine (33.63%)
  • Cohort study (25.16%)
  • Acquired immunodeficiency syndrome (22.39%)

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

  • Internal medicine (33.63%)
  • Demography (19.98%)
  • Meta-analysis (14.90%)

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

Matthias Egger focuses on Internal medicine, Demography, Meta-analysis, Tuberculosis and Confidence interval. Matthias Egger focuses mostly in the field of Internal medicine, narrowing it down to topics relating to Oncology and, in certain cases, Prostate cancer. His Demography research is multidisciplinary, incorporating perspectives in Logistic regression, Epidemiology, Cohort study and Acquired immunodeficiency syndrome, Antiretroviral therapy.

The concepts of his Epidemiology study are interwoven with issues in Public health, Observational study, Cohort and Database. His Meta-analysis research incorporates elements of Statistics, Pairwise comparison and Systematic review. His Confidence interval research includes elements of Pediatrics and Viral load.

Between 2017 and 2021, his most popular works were:

  • Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis (945 citations)
  • Perioperative chemotherapy with fluorouracil plus leucovorin, oxaliplatin, and docetaxel versus fluorouracil or capecitabine plus cisplatin and epirubicin for locally advanced, resectable gastric or gastro-oesophageal junction adenocarcinoma (FLOT4): a randomised, phase 2/3 trial. (398 citations)
  • COVID-19 epidemic in Switzerland: on the importance of testing, contact tracing and isolation. (218 citations)

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

  • Internal medicine
  • Cancer
  • Statistics

Matthias Egger mainly focuses on Internal medicine, Meta-analysis, Confidence interval, Epidemiology and Acquired immunodeficiency syndrome. His Internal medicine research is multidisciplinary, incorporating elements of Record linkage and Drug resistance. His Meta-analysis study integrates concerns from other disciplines, such as Systematic review, Pairwise comparison and Data science.

Matthias Egger combines subjects such as Cancer, Cervix, Cohort study, Demography and Antiretroviral therapy with his study of Epidemiology. The study incorporates disciplines such as Clinical study design, Data extraction, Applied psychology and Subgroup analysis in addition to Publication bias. The Immune status study combines topics in areas such as Observational study and MEDLINE.

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

Bias in meta-analysis detected by a simple, graphical test

Matthias Egger;George Davey Smith;Martin Schneider;Christoph Minder.
BMJ (1997)

34542 Citations

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies

E von Elm;D G Altman;M Egger;M Egger;S J Pocock.
Annals of Internal Medicine (2007)

19249 Citations

The Strengthening the Reporting of Observational Studies in Epidemiology [STROBE] statement: guidelines for reporting observational studies

Erik von Elm;Douglas G. Altman;Matthias Egger;Matthias Egger;Stuart J. Pocock.
PLOS Medicine (2007)

10090 Citations

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

D Moher;A Liberati;J Tetzlaff;D G Altman.
Revista Española de Nutrición Humana y Dietética (2014)

9753 Citations

CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials

David Moher;Sally Hopewell;Kenneth F Schulz;Victor M. Montori.
BMJ (2010)

7643 Citations

Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies

Andrew G Renehan;Margaret Tyson;Matthias Egger;Matthias Egger;Richard F Heller.
The Lancet (2008)

5084 Citations

The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration

Douglas G. Altman;Kenneth F. Schulz;David Moher;Matthias Egger.
Annals of Internal Medicine (2001)

4400 Citations

Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies

Erik von Elm;Douglas G Altman;Matthias Egger;Stuart J Pocock.
BMJ (2007)

4189 Citations

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration

J P Vandenbroucke;E von Elm;E von Elm;D G Altman;P C Gøtzsche.
Annals of Internal Medicine (2007)

3366 Citations

SYSTEMATIC REVIEWS IN HEALTH CARE: ASSESSING THE QUALITY OF CONTROLLED CLINICAL TRIALS

Peter Jüni;Douglas G Altman;Matthias Egger.
BMJ (2001)

2738 Citations

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