D-Index & Metrics Best Publications

D-Index & Metrics

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 100 Citations 46,427 623 World Ranking 3680 National Ranking 40

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Genetics

Genome-wide association study, Genetics, Internal medicine, Endocrinology and Genetic association are his primary areas of study. His Genome-wide association study study combines topics from a wide range of disciplines, such as Quantitative trait locus, Genetic architecture, Allele and Medical genetics. His research ties Cardiology and Internal medicine together.

His studies examine the connections between Endocrinology and genetics, as well as such issues in Odds ratio, with regards to Framingham Risk Score, COPD and Immunology. His studies in Genetic association integrate themes in fields like Genetic predisposition, Bioinformatics, Case-control study, Glucose homeostasis and Kidney. The Young adult study combines topics in areas such as Surgery, Cohort study, Cohort and Risk factor.

His most cited work include:

  • Discovery and refinement of loci associated with lipid levels (1814 citations)
  • Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
  • Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk (1543 citations)

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

His scientific interests lie mostly in Internal medicine, Endocrinology, Cardiology, Genome-wide association study and Blood pressure. His Intima-media thickness, Body mass index, Young adult, Risk factor and Cholesterol study are his primary interests in Internal medicine. The various areas that Mika Kähönen examines in his Body mass index study include Obesity and Physiology.

The study incorporates disciplines such as Surgery, Arterial stiffness and Heart rate in addition to Cardiology. His study explores the link between Genome-wide association study and topics such as Allele that cross with problems in Genotype. Mika Kähönen interconnects Hemodynamics and Epidemiology in the investigation of issues within Blood pressure.

He most often published in these fields:

  • Internal medicine (52.93%)
  • Endocrinology (26.84%)
  • Cardiology (22.15%)

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

  • Internal medicine (52.93%)
  • Cardiology (22.15%)
  • Genome-wide association study (22.15%)

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

The scientist’s investigation covers issues in Internal medicine, Cardiology, Genome-wide association study, Blood pressure and Genetics. His Internal medicine research is multidisciplinary, incorporating elements of Endocrinology and Type 2 diabetes. His Endocrinology research focuses on Allele and how it relates to Obesity, Single-nucleotide polymorphism and Mendelian randomization.

His study in Cardiology is interdisciplinary in nature, drawing from both PR interval and Population study. His research in Genome-wide association study intersects with topics in Bioinformatics, Medical genetics, Genetic association, Locus and Genetic variation. Mika Kähönen has included themes like Metabolic syndrome and Risk factor in his Blood pressure study.

Between 2018 and 2021, his most popular works were:

  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (129 citations)
  • New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries (105 citations)
  • A meta-analysis of genome-wide association studies identifies multiple longevity genes (73 citations)

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

  • Internal medicine
  • Gene
  • Disease

Mika Kähönen focuses on Internal medicine, Genome-wide association study, Genetics, Cardiology and Genetic association. Mika Kähönen has researched Internal medicine in several fields, including Endocrinology and Type 2 diabetes. His Endocrinology study incorporates themes from Apolipoprotein E and Allele.

His Genome-wide association study study combines topics in areas such as Family aggregation, Genetic correlation, Medical genetics, COPD and Heritability. His work in Genetics addresses subjects such as Meta-analysis, which are connected to disciplines such as Childhood obesity. His work in the fields of Cardiology, such as Hemodynamics, Vascular resistance and Impedance cardiography, intersects with other areas such as Relative humidity.

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

Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study.

Olli T. Raitakari;Markus Juonala;Mika Kähönen;Leena Taittonen.
JAMA (2003)

2122 Citations

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Nature (2010)

1934 Citations

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud.
Nature (2011)

1802 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 new risk loci for coronary artery disease

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

1284 Citations

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

Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

Iris M. Heid;Anne U. Jackson;Joshua C. Randall;Tthomas W. Winkler.
Nature Genetics (2010)

887 Citations

Genome-wide association study identifies 74 loci associated with educational attainment

Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Nature (2016)

861 Citations

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang.
Science (2013)

723 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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