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
Biology and Biochemistry D-index 46 Citations 34,957 77 World Ranking 12320 National Ranking 5271

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

Genetics, Genome-wide association study, Exome, Exome sequencing and Allele frequency are his primary areas of study. He interconnects Cholesterol and Lipoprotein in the investigation of issues within Genetics. He combines subjects such as Coronary artery disease, Genotyping and Bioinformatics with his study of Genome-wide association study.

His Exome study integrates concerns from other disciplines, such as Odds ratio, Internal medicine, Endocrinology and Genetic variation. Ron Do has researched Exome sequencing in several fields, including Nonsense mutation, Missense mutation and Genotype, Apolipoprotein C3. His work in Allele frequency addresses issues such as Locus, which are connected to fields such as Copy-number variation, Genetic epidemiology and Age of onset.

His most cited work include:

  • Analysis of protein-coding genetic variation in 60,706 humans (6694 citations)
  • Discovery and refinement of loci associated with lipid levels (1814 citations)
  • Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study (1555 citations)

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

His primary scientific interests are in Genetics, Genome-wide association study, Internal medicine, Exome sequencing and Exome. His works in Gene, Single-nucleotide polymorphism, Allele frequency, Genetic variation and Allele are all subjects of inquiry into Genetics. His Genome-wide association study research is multidisciplinary, incorporating perspectives in Bioinformatics, Coronary artery disease, Phenotype, Genetic association and Locus.

His Internal medicine research is multidisciplinary, relying on both Endocrinology, Oncology and Cardiology. His Exome sequencing research integrates issues from Missense mutation and Sequence analysis. His Exome research incorporates elements of Genotype, Genetic linkage, Lipoprotein and PCSK9.

He most often published in these fields:

  • Genetics (64.12%)
  • Genome-wide association study (34.35%)
  • Internal medicine (32.82%)

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

  • Biobank (9.16%)
  • Genetics (64.12%)
  • Internal medicine (32.82%)

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

Ron Do mainly investigates Biobank, Genetics, Internal medicine, Phenotype and Genome-wide association study. His work deals with themes such as Heart failure, Cardiology, Transthyretin and Single-nucleotide polymorphism, Genetic association, which intersect with Biobank. His Genetics study combines topics from a wide range of disciplines, such as Natural selection and Disease.

His work carried out in the field of Internal medicine brings together such families of science as Endocrinology, Type 2 diabetes and Emergency medicine. The concepts of his Phenotype study are interwoven with issues in Computational biology and Genetic variation. The various areas that Ron Do examines in his Genome-wide association study study include DECIPHER and Allelic heterogeneity.

Between 2019 and 2021, his most popular works were:

  • Exploiting the GTEx resources to decipher the mechanisms at GWAS loci (21 citations)
  • Limitations of Contemporary Guidelines for Managing Patients at High Genetic Risk of Coronary Artery Disease (13 citations)
  • Exploiting the GTEx resources to decipher the mechanisms at GWAS loci. (8 citations)

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

  • Gene
  • Internal medicine
  • Mutation

Ron Do mainly focuses on Phenotype, Computational biology, Gene, Genome-wide association study and Biobank. The Computational biology study combines topics in areas such as DECIPHER, Mendelian inheritance and Allelic heterogeneity. His studies in Genome-wide association study integrate themes in fields like Exome sequencing and Exome.

Ron Do has included themes like Clinical trial, Adverse effect, Expression quantitative trait loci, Genotype and Genetic variation in his Biobank study.

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

Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Nature (2016)

8828 Citations

Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study

Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt.
web science (2012)

1870 Citations

Discovery and refinement of loci associated with lipid levels

Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)

1733 Citations

Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

Heribert Schunkert;Inke R. König;Sekar Kathiresan;Muredach P. Reilly.
Nature Genetics (2011)

1700 Citations

A high-coverage genome sequence from an archaic Denisovan individual

Matthias Meyer;Martin Kircher;Marie Theres Gansauge;Heng Li.
Science (2012)

1668 Citations

Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes

Jacob A. Tennessen;Abigail W. Bigham;Timothy D. O'Connor;Wenqing Fu.
Science (2012)

1556 Citations

Large-scale association analysis identifies new risk loci for coronary artery disease

Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall.
Nature Genetics (2013)

1284 Citations

Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants.

Sekar Kathiresan;Benjamin F Voight;Shaun Purcell;Kiran Musunuru.
Nature Genetics (2009)

1113 Citations

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)

960 Citations

Common variants associated with plasma triglycerides and risk for coronary artery disease

Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta.
Nature Genetics (2013)

684 Citations

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