H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Medicine H-index 214 Citations 224,024 1,577 World Ranking 39 National Ranking 5

Research.com Recognitions

Awards & Achievements

2019 - Fellow of the Royal Society, United Kingdom

2019 - Royal Netherlands Academy of Arts and Sciences

2014 - Fellow of the Royal Society of Edinburgh

2008 - Member of the National Academy of Medicine (NAM)

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Disease
  • World War II

His scientific interests lie mostly in Internal medicine, Body mass index, Demography, Genome-wide association study and Endocrinology. His Internal medicine research is multidisciplinary, incorporating elements of Diabetes mellitus and Type 2 diabetes. His biological study spans a wide range of topics, including Pregnancy, Obesity and FTO gene.

His research integrates issues of Epidemiology, Cohort study, Gerontology, Socioeconomic status and Pediatrics in his study of Demography. His research in Genome-wide association study focuses on subjects like Bioinformatics, which are connected to Mendelian randomization. His research investigates the link between Endocrinology and topics such as Offspring that cross with problems in Birth weight.

His most cited work include:

  • Bias in meta-analysis detected by a simple, graphical test (29082 citations)
  • A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity (3415 citations)
  • Systematic Reviews in Health Care : Meta-Analysis in Context (2520 citations)

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

George Davey Smith mainly investigates Internal medicine, Demography, Mendelian randomization, Body mass index and Particle physics. George Davey Smith interconnects Endocrinology, Oncology and Cardiology in the investigation of issues within Internal medicine. His Demography research is multidisciplinary, incorporating perspectives in Epidemiology, Cohort study, Gerontology, Socioeconomic status and Risk factor.

His research in Mendelian randomization tackles topics such as Genome-wide association study which are related to areas like Genetic association. His Body mass index research includes elements of Offspring and Obesity. His studies deal with areas such as Nuclear physics and Lepton as well as Particle physics.

He most often published in these fields:

  • Internal medicine (18.19%)
  • Demography (13.60%)
  • Mendelian randomization (13.09%)

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

  • Mendelian randomization (13.09%)
  • Particle physics (10.27%)
  • Large Hadron Collider (7.65%)

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

George Davey Smith mainly focuses on Mendelian randomization, Particle physics, Large Hadron Collider, Internal medicine and Genome-wide association study. His Mendelian randomization study integrates concerns from other disciplines, such as Body mass index, Odds ratio, Mendelian Randomization Analysis, Disease and Confounding. His studies in Body mass index integrate themes in fields like Longitudinal study, Demography and Obesity.

His studies examine the connections between Confounding and genetics, as well as such issues in Observational study, with regards to Causal inference. His work deals with themes such as Endocrinology, Oncology and Cardiology, which intersect with Internal medicine. George Davey Smith is investigating Single-nucleotide polymorphism and Genetics as part of his examination of Genome-wide association study.

Between 2017 and 2021, his most popular works were:

  • The MR-Base platform supports systematic causal inference across the human phenome (899 citations)
  • Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians (406 citations)
  • Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies (385 citations)

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.

Top Publications

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

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

34542 Citations

A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity

Timothy M. Frayling;Nicholas J. Timpson;Michael N. Weedon;Eleftheria Zeggini;Eleftheria Zeggini;Eleftheria Zeggini.
Science (2007)

5577 Citations

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)

2864 Citations

‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?

George Davey Smith;Shah Ebrahim.
International Journal of Epidemiology (2003)

2770 Citations

Numerical Solution of Partial Differential Equations, Finite Difference Methods.

G. D. Smith.
Mathematics of Computation (1987)

2716 Citations

Systematic Reviews in Health Care : Meta-Analysis in Context

Matthias Egger;George Davey Smith;Douglas G Altman.
(2000)

2520 Citations

Event generator tunes obtained from underlying event and multiparton scattering measurements

V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam.
European Physical Journal C (2016)

2488 Citations

Indicators of socioeconomic position (part 1)

Bruna Galobardes;Mary Shaw;Debbie A Lawlor;John W Lynch.
Journal of Epidemiology and Community Health (2006)

2300 Citations

Statins for the primary prevention of cardiovascular disease.

Fiona C Taylor;Kirsten Ward;Theresa H M Moore;Margaret A Burke.
Cochrane Database of Systematic Reviews (2013)

2257 Citations

Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV

V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam.
European Physical Journal C (2015)

2095 Citations

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

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