D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge

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
Genetics and Molecular Biology D-index 80 Citations 54,306 138 World Ranking 973 National Ranking 112
Best female scientists D-index 103 Citations 69,431 257 World Ranking 767 National Ranking 78

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Internal medicine
  • Genetics

Her primary areas of investigation include Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Internal medicine. In Genome-wide association study, Inga Prokopenko works on issues like Allele, which are connected to Candidate gene. Her Genetics study combines topics in areas such as Body mass index and Obesity.

Her biological study spans a wide range of topics, including Case-control study, Copy-number variation and Heritability. Her research investigates the connection between Genetic association and topics such as Genetic predisposition that intersect with problems in Exome and Exome sequencing. Her work in Internal medicine is not limited to one particular discipline; it also encompasses Endocrinology.

Her most cited work include:

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2399 citations)
  • A genome-wide association search for type 2 diabetes genes in African Americans. (1770 citations)
  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (1757 citations)

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

Inga Prokopenko spends much of her time researching Genetics, Genome-wide association study, Genetic association, Type 2 diabetes and Internal medicine. Her work is connected to Single-nucleotide polymorphism, Locus, Gene, Genetic architecture and Allele, as a part of Genetics. Her research on Genome-wide association study also deals with topics like

  • Quantitative trait locus that intertwine with fields like Linkage disequilibrium,
  • Body mass index, which have a strong connection to FTO gene.

Her work deals with themes such as Pregnancy, Genetic variation, Genetic predisposition and Medical genetics, which intersect with Genetic association. Her Type 2 diabetes study also includes fields such as

  • Glucose homeostasis that intertwine with fields like Allele frequency,
  • Computational biology which connect with 1000 Genomes Project, Genome and Meta-analysis. Her studies deal with areas such as Endocrinology and Mendelian randomization as well as Internal medicine.

She most often published in these fields:

  • Genetics (78.12%)
  • Genome-wide association study (77.56%)
  • Genetic association (43.18%)

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

  • Genome-wide association study (77.56%)
  • Genetic association (43.18%)
  • Type 2 diabetes (35.51%)

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

The scientist’s investigation covers issues in Genome-wide association study, Genetic association, Type 2 diabetes, Genetics and Internal medicine. The study incorporates disciplines such as Longitudinal growth, Genetic correlation, Genomics, Quantitative trait locus and Physiology in addition to Genome-wide association study. Her Genetic association research is multidisciplinary, relying on both Dementia, Allele and Locus.

Her Type 2 diabetes research includes elements of Obesity, Fasting glucose, Insulin resistance and Glycemic. When carried out as part of a general Genetics research project, her work on Gene, Genetic variants and Biobank is frequently linked to work in Enhancer and Association, therefore connecting diverse disciplines of study. Her Internal medicine study combines topics from a wide range of disciplines, such as Endocrinology and Oncology.

Between 2017 and 2021, her most popular works were:

  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (167 citations)
  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (167 citations)
  • Identification of rare sequence variation underlying heritable pulmonary arterial hypertension. (158 citations)

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

  • Gene
  • Internal medicine
  • Genetics

Inga Prokopenko focuses on Genome-wide association study, Genetics, Internal medicine, Genetic association and Disease. Inga Prokopenko combines subjects such as Mendelian randomization, Genetic correlation, Diabetes mellitus, Quantitative trait locus and Physiology with her study of Genome-wide association study. Her Diabetes mellitus research includes themes of Sex characteristics and Waist–hip ratio.

Her Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology and Genotype. Her work on Dementia as part of general Disease research is frequently linked to Caspase, thereby connecting diverse disciplines of science. Her Insulin resistance research is multidisciplinary, incorporating elements of Glycated hemoglobin, Type 2 diabetes and 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

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

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

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

Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)

1508 Citations

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