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 20,886 244 World Ranking 10429 National Ranking 23

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Cancer

His primary areas of study are Genome-wide association study, Genetic association, Genetics, Bioinformatics and Medical genetics. His Genome-wide association study research integrates issues from Allele, Disease, Blood pressure and Genetic architecture. The concepts of his Genetic association study are interwoven with issues in Femoral neck, Minor allele frequency, Allele frequency and Locus.

In general Genetics study, his work on Polymorphism and Linkage disequilibrium often relates to the realm of Low frequency, thereby connecting several areas of interest. Evangelos Evangelou has researched Bioinformatics in several fields, including Sequencing data, Meta-Analysis as Topic, Genetic risk, Case-control study and Meta-analysis. The various areas that Evangelos Evangelou examines in his Medical genetics study include Quantitative trait locus, Cognition, Cognitive neuroscience and Heritability.

His most cited work include:

  • Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture (845 citations)
  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)

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

Evangelos Evangelou mainly investigates Genome-wide association study, Genetics, Internal medicine, Meta-analysis and Genetic association. His Genome-wide association study research includes themes of Locus, Blood pressure, Bioinformatics and Medical genetics. His study looks at the relationship between Internal medicine and fields such as Oncology, as well as how they intersect with chemical problems.

Evangelos Evangelou has included themes like Observational study, Randomized controlled trial, Systematic review and Environmental health in his Meta-analysis study. In his research, Disease and Type 2 Diabetes Mellitus is intimately related to Epidemiology, which falls under the overarching field of Observational study. His Genetic association research is multidisciplinary, incorporating perspectives in Polymorphism, Minor allele frequency, Allele frequency, Genetic epidemiology and Osteoporosis.

He most often published in these fields:

  • Genome-wide association study (55.53%)
  • Genetics (43.76%)
  • Internal medicine (36.00%)

What were the highlights of his more recent work (between 2019-2021)?

  • Internal medicine (36.00%)
  • Mendelian randomization (15.53%)
  • Disease (22.82%)

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

His primary scientific interests are in Internal medicine, Mendelian randomization, Disease, Genome-wide association study and Meta-analysis. He works mostly in the field of Internal medicine, limiting it down to topics relating to Oncology and, in certain cases, Melanoma and Demyelinating disease, as a part of the same area of interest. His Mendelian randomization research is multidisciplinary, relying on both Body mass index, Mendelian Randomization Analysis, Multiple sclerosis, Kidney and Risk factor.

His work is dedicated to discovering how Disease, Epidemiology are connected with Type 2 Diabetes Mellitus, Depression, Intensive care medicine and Genetic association and other disciplines. Genetics covers Evangelos Evangelou research in Genome-wide association study. His biological study deals with issues like Systematic review, which deal with fields such as Immunotherapy.

Between 2019 and 2021, his most popular works were:

  • Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease. (68 citations)
  • Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease. (68 citations)
  • The Polygenic and Monogenic Basis of Blood Traits and Diseases (37 citations)

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

  • Internal medicine
  • Gene
  • Cancer

His primary areas of investigation include Genome-wide association study, Genetics, Mendelian randomization, Internal medicine and Genetic architecture. His work deals with themes such as Biobank and Genetic predisposition, which intersect with Genome-wide association study. Evangelos Evangelou studies Genetics, focusing on Medical genetics in particular.

Evangelos Evangelou combines subjects such as Nevus, Melanoma, Cutaneous melanoma and Single-nucleotide polymorphism with his study of Medical genetics. His work carried out in the field of Mendelian randomization brings together such families of science as Cardiology, Disease, Blood pressure and Risk factor. As a member of one scientific family, Evangelos Evangelou mostly works in the field of Genetic architecture, focusing on Blood cell and, on occasion, Allele and Mendelian inheritance.

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

Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu.
Nature Genetics (2012)

951 Citations

Uncertainty in heterogeneity estimates in meta-analyses

John P A Ioannidis;Nikolaos A Patsopoulos;Evangelos Evangelou.
BMJ (2007)

887 Citations

Seven new loci associated with age-related macular degeneration

Lars G. Fritsche;Lars G. Fritsche;Wei Chen;Wei Chen;Matthew Schu;Brian L. Yaspan.
Nature Genetics (2013)

656 Citations

Meta-analysis Methods for Genome-Wide Association Studies and Beyond

Evangelos Evangelou;John P. A. Ioannidis.
Nature Reviews Genetics (2013)

528 Citations

Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation

Nikolaos A Patsopoulos;Evangelos Evangelou;John P A Ioannidis;John P A Ioannidis;John P A Ioannidis.
International Journal of Epidemiology (2008)

527 Citations

Environmental risk factors and multiple sclerosis: an umbrella review of systematic reviews and meta-analyses.

Lazaros Belbasis;Vanesa Bellou;Evangelos Evangelou;Evangelos Evangelou;John P A Ioannidis.
Lancet Neurology (2015)

510 Citations

Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung.
PLOS ONE (2018)

454 Citations

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud.
Nature Genetics (2018)

369 Citations

Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk

Helen R Warren;Evangelos Evangelou;Evangelos Evangelou;Claudia P Cabrera;He Gao.
Nature Genetics (2017)

367 Citations

Identification of new susceptibility loci for osteoarthritis (arcOGEN): a genome-wide association study.

E Zeggini;K Panoutsopoulou.
The Lancet (2012)

358 Citations

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