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 84 Citations 46,727 277 World Ranking 7810 National Ranking 717

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Genetics

His primary scientific interests are in Genome-wide association study, Internal medicine, Genetics, Endocrinology and Genetic association. Genome-wide association study is a subfield of Single-nucleotide polymorphism that Abbas Dehghan tackles. The Internal medicine study combines topics in areas such as Type 2 diabetes and Cardiology.

His study explores the link between Genetics and topics such as Disease that cross with problems in Metabolic syndrome, HNF1A, FTO gene and Confounding Factors. His work in Endocrinology tackles topics such as Locus which are related to areas like Aortic aneurysm and Aorta. In his study, 1000 Genomes Project is strongly linked to Computational biology, which falls under the umbrella field of Genetic association.

His most cited work include:

  • Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants (2278 citations)
  • Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults (2180 citations)
  • Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants (1737 citations)

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

Internal medicine, Genome-wide association study, Genetics, Endocrinology and Genetic association are his primary areas of study. His Internal medicine study combines topics from a wide range of disciplines, such as Mendelian randomization, Type 2 diabetes and Cardiology. His study in Type 2 diabetes is interdisciplinary in nature, drawing from both Obesity and Insulin.

As a part of the same scientific family, Abbas Dehghan mostly works in the field of Genome-wide association study, focusing on Bioinformatics and, on occasion, Epigenetics. His Genetic association research incorporates themes from Linkage disequilibrium and Candidate gene. His work on Overweight as part of general Body mass index study is frequently linked to Demography, therefore connecting diverse disciplines of science.

He most often published in these fields:

  • Internal medicine (58.15%)
  • Genome-wide association study (50.85%)
  • Genetics (32.60%)

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

  • Internal medicine (58.15%)
  • Mendelian randomization (16.55%)
  • Disease (10.71%)

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

Abbas Dehghan mostly deals with Internal medicine, Mendelian randomization, Disease, Genome-wide association study and Genetic association. His Internal medicine research is multidisciplinary, incorporating perspectives in Type 2 diabetes and Cardiology. His studies in Mendelian randomization integrate themes in fields like Odds ratio, Insomnia, Mendelian Randomization Analysis, Blood pressure and Confidence interval.

The study incorporates disciplines such as Genetic correlation, Metabolomics and Amygdala in addition to Disease. His Genome-wide association study study combines Single-nucleotide polymorphism and Genetics studies. His Genetic association research includes elements of Oncology, DNA methylation, Epigenome, Bioinformatics and Epigenetics.

Between 2019 and 2021, his most popular works were:

  • Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. (70 citations)
  • Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease. (68 citations)
  • Interleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes: A Mendelian Randomization Study. (20 citations)

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

  • Internal medicine
  • Gene
  • Cancer

The scientist’s investigation covers issues in Internal medicine, Genome-wide association study, Mendelian randomization, Disease and Lower risk. His work in Outpatient clinic, Myocardial infarction and Observational study is related to Internal medicine. His biological study spans a wide range of topics, including Heart failure, Bioinformatics, Coronary artery disease, Atrial fibrillation and Mendelian inheritance.

Mendelian inheritance is the subject of his research, which falls under Genetics. Abbas Dehghan has included themes like Odds ratio, Vitamin D and neurology, Mediator and Cardiology in his Mendelian randomization study. His work carried out in the field of Lower risk brings together such families of science as Incidence, Cohort study, Microalbuminuria, Renal function and Propensity score matching.

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

Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

Leandra Abarca-Gómez;Ziad A Abdeen;Zargar Abdul Hamid;Niveen M Abu-Rmeileh.
The Lancet (2017)

3746 Citations

Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants

Mariachiara Di Cesare;Mariachiara Di Cesare;James Bentham;Gretchen A Stevens;Bin Zhou.
The Lancet (2016)

3330 Citations

Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants

Bin Zhou;Yuan Lu;Kaveh Hajifathalian;James Bentham.
The Lancet (2016)

2787 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

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

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 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

A century of trends in adult human height

James Bentham;Mariachiara Di Cesare;Mariachiara Di Cesare;Gretchen A. Stevens;Bin Zhou.
eLife (2016)

1646 Citations

Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants

Bin Zhou;James Bentham;Mariachiara Di Cesare;Honor Bixby.
The Lancet (2017)

1391 Citations

Genome-wide association study of blood pressure and hypertension.

Daniel Levy;Georg B. Ehret;Georg B. Ehret;Kenneth Rice;Germaine C. Verwoert.
Nature Genetics (2009)

1372 Citations

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