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Medicine

D-Index
130
Citations
213580
World Ranking
2424
National Ranking
253

Overview

Simon G. Thompson is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple disciplines, primarily focusing on computer science and medicine.

The main fields of study for Simon G. Thompson include:

  • Computer Science
  • Medicine

Within these fields, Thompson's work delves into several subfields of study, such as:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Cardiology and Cardiovascular Medicine
  • Pulmonary and Respiratory Medicine

Their research covers various topics, notably:

  • Formal Methods in Verification
  • Blood Pressure and Hypertension Studies
  • Logic, programming, and type systems
  • Immunodeficiency and Autoimmune Disorders
  • Inflammatory Bowel Disease
  • Petri Nets in System Modeling
  • Business Process Modeling and Analysis

Simon G. Thompson's publication record includes contributions to several journals and venues:

  • arXiv (Cornell University)
  • Nature Communications
  • Circulation
  • JAMA
  • ANU Open Research (Australian National University)

Some of their recent papers are:

  • Carotid Intima-Media Thickness Progression as Surrogate Marker for Cardiovascular Risk, 2020, Circulation
  • Prostate-Specific Antigen Screening and 15-Year Prostate Cancer Mortality, 2024, JAMA
  • Somatic mosaicism and common genetic variation contribute to the risk of very-early-onset inflammatory bowel disease, 2020, Nature Communications
  • Repeated measurements of blood pressure and cholesterol improves cardiovascular disease risk prediction: an individual-participant-data meta-analysis, 2021, ANU Open Research (Australian National University)
  • Author Correction: Somatic mosaicism and common genetic variation contribute to the risk of very-early-onset inflammatory bowel disease, 2022, Nature Communications

Frequent collaborators with whom Simon G. Thompson has co-authored multiple papers include:

  • John Danesh
  • Emanuele Di Angelantonio
  • Reiner Wiest
  • Yannick Franc
  • Valérie Pittet

Best Publications

  • Measuring inconsistency in meta-analyses

    Julian P T Higgins;Simon G Thompson;Jonathan J Deeks;Douglas G Altman

  • Quantifying heterogeneity in a meta‐analysis

    Julian P. T. Higgins;Simon G. Thompson

  • Mendelian randomization analysis with multiple genetic variants using summarized data.

    Stephen Burgess;Adam Butterworth;Simon G. Thompson

  • The benefits and harms of breast cancer screening: an independent review

    M G Marmot;D G Altman;D A Cameron;J A Dewar

  • How should meta-regression analyses be undertaken and interpreted?

    Simon G. Thompson;Julian P. T. Higgins

  • Major lipids, apolipoproteins, and risk of vascular disease

    E Di Angelantonio;N Sarwar;P Perry

  • Interpreting findings from Mendelian randomization using the MR-Egger method

    Stephen Burgess;Simon G. Thompson

  • C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis.

    S Kaptoge;E Di Angelantonio;G Lowe

  • Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents

    Emanuele Di Angelantonio;Shilpa N Bhupathiraju;David Wormser;Pei Gao;Pei Gao

  • Randomized trial to determine the effect of nebivolol on mortality and cardiovascular hospital admission in elderly patients with heart failure (SENIORS)

    Marcus D. Flather;Marcelo C. Shibata;Andrew J.S. Coats;Dirk J. Van Veldhuisen

  • Explaining heterogeneity in meta-analysis: a comparison of methods.

    Simon G. Thompson;Stephen J. Sharp

  • A review of instrumental variable estimators for Mendelian randomization

    Stephen Burgess;Dylan S Small;Simon Gregory Thompson

  • Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality.

    S Erqou;S Kaptoge;PL Perry;E Di Angelantonio

  • Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis

    Rajiv Chowdhury;Samantha Warnakula;Setor Kunutsor;Francesca Crowe

  • Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis.

    J Danesh;S Lewington;S G Thompson;Lowe Gdo.

  • Controlling the risk of spurious findings from meta-regression.

    Julian P. T. Higgins;Simon G. Thompson

  • Mortality results for randomised controlled trial of early elective surgery or ultrasonographic surveillance for small abdominal aortic aneurysms

    Charles Mccollum;J. T. Powell;A. R. Brady;L. C. Brown

  • Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

    Stephen Burgess;Jack Bowden;Tove Fall;Erik Ingelsson

  • Value of natriuretic peptides in assessment of patients with possible new heart failure in primary care

    Martin R. Cowie;Allan D. Struthers;David A. Wood;Andrew J. S. Coats

  • Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors

    Stephen Burgess;Robert A. Scott;Nicholas J. Timpson;George Davey Smith

Frequent Co-Authors

Stephen Burgess
Stephen Burgess University of Cambridge
Janet T. Powell
Janet T. Powell Imperial College London
John Danesh
John Danesh University of Cambridge
Peter Willeit
Peter Willeit Innsbruck Medical University
Emanuele Di Angelantonio
Emanuele Di Angelantonio University of Cambridge
Roger M. Greenhalgh
Roger M. Greenhalgh Imperial College London
Albert Hofman
Albert Hofman Harvard University
Adam S. Butterworth
Adam S. Butterworth University of Cambridge
Oscar H. Franco
Oscar H. Franco University Medical Center Utrecht
Stefan Kiechl
Stefan Kiechl Innsbruck Medical University

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