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 78 Citations 31,093 247 World Ranking 12659 National Ranking 1163

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Disease
  • Diabetes mellitus

The scientist’s investigation covers issues in Internal medicine, Diabetes mellitus, Prospective cohort study, Genome-wide association study and Endocrinology. Internal medicine is a component of his Relative risk, Odds ratio, Vascular disease, Risk factor and Cholesterol studies. The Diabetes mellitus study combines topics in areas such as Stroke and Mortality rate.

His work in Prospective cohort study tackles topics such as Hazard ratio which are related to areas like Cause of death and Immunology. His Genome-wide association study study is associated with Genetics. His research in Genetic association intersects with topics in Common disease-common variant, Quantitative trait locus and Angina.

His most cited work include:

  • Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific Death (1671 citations)
  • Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents (887 citations)
  • Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis (798 citations)

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

His primary areas of study are Internal medicine, Cardiology, Stroke, Disease and Prospective cohort study. His work investigates the relationship between Internal medicine and topics such as Endocrinology that intersect with problems in Allele. His studies in Stroke integrate themes in fields like Surgery and Cohort.

His Disease research is multidisciplinary, incorporating elements of Genome-wide association study, Epidemiology, Bioinformatics, Blood pressure and Meta-analysis. His work deals with themes such as Genetics, Risk factor, MEDLINE and Confidence interval, which intersect with Meta-analysis. His Prospective cohort study research is multidisciplinary, incorporating perspectives in Immunology, Myocardial infarction, Framingham Risk Score and Cohort study.

He most often published in these fields:

  • Internal medicine (57.20%)
  • Cardiology (28.41%)
  • Stroke (15.15%)

What were the highlights of his more recent work (between 2018-2021)?

  • Internal medicine (57.20%)
  • Disease (17.05%)
  • Prospective cohort study (18.18%)

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

Emanuele Di Angelantonio focuses on Internal medicine, Disease, Prospective cohort study, Genetics and Mendelian randomization. The concepts of his Internal medicine study are interwoven with issues in Endocrinology and Cardiology. His Disease study also includes fields such as

  • Blood pressure that connect with fields like Diabetes mellitus,
  • Medical genetics that intertwine with fields like Lung cancer, Cancer, Meta-analysis and Risk factor.

The Prospective cohort study study combines topics in areas such as Biobank, Framingham Risk Score, Hazard ratio, Typing and Cohort. His work on Blood cell as part of general Genetics study is frequently connected to TMPRSS6, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Genome-wide association study study incorporates themes from Computational biology, Genetic association and Bioinformatics.

Between 2018 and 2021, his most popular works were:

  • Association of Triglyceride-Lowering LPL Variants and LDL-C-Lowering LDLR Variants with Risk of Coronary Heart Disease (209 citations)
  • World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions (108 citations)
  • Mendelian Randomization Study of ACLY and Cardiovascular Disease (86 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.

Best Publications

Diabetes mellitus, fasting glucose, and risk of cause-specific death.

Sreenivasa Rao Kondapally Seshasai;Stephen Kaptoge;Alexander Thompson;Emanuele Di Angelantonio.
The New England Journal of Medicine (2011)

2360 Citations

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.
The Lancet (2016)

1863 Citations

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.
Annals of Internal Medicine (2014)

1513 Citations

C-Reactive Protein, Fibrinogen, and Cardiovascular Disease Prediction

Stephen Kaptoge;Emanuele Di Angelantonio;Lisa Pennells;Angela M. Wood.
The New England Journal of Medicine (2012)

1143 Citations

The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

William J. Astle;Heather Elding;Heather Elding;Tao Jiang;Dave Allen.
Cell (2016)

896 Citations

Association of apolipoprotein E genotypes with lipid levels and coronary risk.

Anna M. Bennet;Emanuele Di Angelantonio;Zheng Ye;Frances Wensley.
JAMA (2007)

862 Citations

Genetic associations with valvular calcification and aortic stenosis.

George Thanassoulis;George Thanassoulis;Catherine Y. Campbell;David S. Owens;J. Gustav Smith;J. Gustav Smith.
The New England Journal of Medicine (2013)

855 Citations

Interleukin-6 receptor pathways in coronary heart disease: a collaborative meta-analysis of 82 studies

Nadeem Sarwar;Adam S. Butterworth;Daniel F. Freitag;John Gregson.
web science (2012)

849 Citations

Prevalence of Depression and Depressive Symptoms Among Resident Physicians: A Systematic Review and Meta-analysis.

Douglas A. Mata;Marco A. Ramos;Narinder Bansal;Rida Khan.
JAMA (2015)

779 Citations

Hypertension in India: A systematic review and meta-analysis of prevalence, awareness, and control of hypertension

Raghupathy Anchala;Nanda K. Kannuri;Hira Pant;Hassan Khan.
Journal of Hypertension (2014)

778 Citations

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