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 92 Citations 49,669 261 World Ranking 5298 National Ranking 59

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Internal medicine
  • Genetics

Her main research concerns Genome-wide association study, Genetics, Internal medicine, Endocrinology and Type 2 diabetes. Her studies deal with areas such as Linkage disequilibrium, Medical genetics, Allele, Glucose homeostasis and Genetic architecture as well as Genome-wide association study. Her Genetics research is multidisciplinary, incorporating perspectives in Body mass index and Glycemic.

Her studies examine the connections between Internal medicine and genetics, as well as such issues in Cardiology, with regards to Pathogenesis, Apolipoprotein B and Apolipoprotein E. Her Endocrinology research focuses on Odds ratio and how it relates to Logistic regression and Cross-sectional study. The study incorporates disciplines such as Glucose tolerance test and TCF7L2 in addition to Type 2 diabetes.

Her most cited work include:

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
  • Discovery and refinement of loci associated with lipid levels (1814 citations)
  • A genome-wide association search for type 2 diabetes genes in African Americans. (1727 citations)

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

Her main research concerns Internal medicine, Endocrinology, Genetics, Type 2 diabetes and Genome-wide association study. Her Internal medicine study combines topics in areas such as Diabetes mellitus and Cardiology. Body mass index, Impaired glucose tolerance, Glucose tolerance test, Cholesterol and Obesity are the primary areas of interest in her Endocrinology study.

Her Genetics study focuses mostly on Gene, Genetic association, Allele, Single-nucleotide polymorphism and Locus. In most of her Type 2 diabetes studies, her work intersects topics such as Disease. In her research, Meta-analysis is intimately related to Computational biology, which falls under the overarching field of Genome-wide association study.

She most often published in these fields:

  • Internal medicine (51.21%)
  • Endocrinology (37.62%)
  • Genetics (30.34%)

What were the highlights of her more recent work (between 2017-2021)?

  • Genetics (30.34%)
  • Genome-wide association study (20.87%)
  • Internal medicine (51.21%)

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

Johanna Kuusisto spends much of her time researching Genetics, Genome-wide association study, Internal medicine, Type 2 diabetes and Gene. Her studies link Alcohol consumption with Genetics. Johanna Kuusisto has included themes like Medical genetics, Quantitative trait locus, Genetic association, Minor allele frequency and Computational biology in her Genome-wide association study study.

Her biological study spans a wide range of topics, including Endocrinology and Cardiology. Her Type 2 diabetes research includes themes of Metabolic syndrome, Disease and Type 2 Diabetes Mellitus. Her Locus research focuses on subjects like Single-nucleotide polymorphism, which are linked to Bioelectrical impedance analysis and Lean body mass.

Between 2017 and 2021, her most popular works were:

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. (503 citations)
  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes (165 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Johanna Kuusisto focuses on Genome-wide association study, Genetics, Allele, Genetic architecture and Metabolic syndrome. Her Genome-wide association study study incorporates themes from Medical genetics, Quantitative trait locus, Genetic association, Locus and Computational biology. Her Genetics research is multidisciplinary, relying on both Blood lipids, Cholesterol, Renal function and Lipid metabolism.

As part of the same scientific family, Johanna Kuusisto usually focuses on Genetic architecture, concentrating on Single-nucleotide polymorphism and intersecting with Lean body mass and Bioelectrical impedance analysis. Her Metabolic syndrome study contributes to a more complete understanding of Internal medicine. As a part of the same scientific study, Johanna Kuusisto usually deals with the Type 2 diabetes, concentrating on Insulin resistance and frequently concerns with Glycemic.

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

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)

2864 Citations

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

E Zeggini;L J Scott;R Saxena;B F Voight.
Nature Genetics (2008)

2051 Citations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)

2013 Citations

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)

1829 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

Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li.
Nature Genetics (2009)

1789 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

A Pro12Ala substitution in PPARgamma2 associated with decreased receptor activity, lower body mass index and improved insulin sensitivity.

Samir S. Deeb;Lluis Fajas;Masami Nemoto;Jussi Pihlajamäki.
Nature Genetics (1998)

1720 Citations

A genome-wide association search for type 2 diabetes genes in African Americans.

N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)

1653 Citations

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira.
Nature Genetics (2012)

1642 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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