D-Index & Metrics Best Publications

Gibran Hemani

University of Bristol
United Kingdom

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 Citations Publications World Ranking National Ranking

Biology and Biochemistry D-index 58 Citations 19,670 184 World Ranking 8683 National Ranking 645

Rising Stars D-index 58 Citations 19,844 204 World Ranking 100 National Ranking 6

Research.com Recognitions

Awards & Achievements

2023 - Research.com Rising Star of Science Award

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study Gibran Hemani is best known for:

Gene
Genetics
Phenotype

His multidisciplinary approach integrates Quantitative trait locus and Expression quantitative trait loci in his work. Gibran Hemani performs multidisciplinary study in Expression quantitative trait loci and Quantitative trait locus in his work. Genetics and Computational biology are two areas of study in which he engages in interdisciplinary work. Gibran Hemani integrates Computational biology with Genetics in his research. His multidisciplinary approach integrates Gene and Evolutionary biology in his work. With his scientific publications, his incorporates both Evolutionary biology and Genetic architecture. He carries out multidisciplinary research, doing studies in Genetic architecture and Phenotype. In his works, Gibran Hemani performs multidisciplinary study on Phenotype and Genotype. He integrates many fields, such as Genotype and Locus (genetics), in his works.

His most cited work include:

Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis (258 citations)
Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation (121 citations)

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

Within one scientific family, Gibran Hemani focuses on topics pertaining to Population under Demography, and may sometimes address concerns connected to Environmental health. His study ties his expertise on Population together with the subject of Environmental health. Gene and Phenome are commonly linked in his work. He connects Phenome with Genotype in his study. His studies link SNP with Genotype. Much of his study explores SNP relationship to Gene. His Genetics study frequently links to related topics such as Monozygotic twin. His work in Monozygotic twin is not limited to one particular discipline; it also encompasses Genetics. His research combines Association test and Single-nucleotide polymorphism.

Gibran Hemani most often published in these fields:

Gene (100.00%)
Genetics (91.67%)
Genotype (83.33%)

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

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)

1899 Citations

The MR-Base platform supports systematic causal inference across the human phenome

Gibran Hemani;Jie Zheng;Benjamin Elsworth;Kaitlin H Wade.
eLife (2018)

1881 Citations

Mendelian randomization: genetic anchors for causal inference in epidemiological studies

George Davey Smith;Gibran Hemani.
Human Molecular Genetics (2014)

1234 Citations

LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

Jie Zheng;Mesut A. Erzurumluoglu;Benjamin L. Elsworth;John P. Kemp.
Bioinformatics (2017)

1094 Citations

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

David M. Howard;Mark J. Adams;Toni Kim Clarke;Jonathan D. Hafferty.
Nature Neuroscience (2019)

967 Citations

Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.

Jian Yang;Andrew Bakshi;Zhihong Zhu;Gibran Hemani;Gibran Hemani.
Nature Genetics (2015)

706 Citations

Improved Heritability Estimation from Genome-wide SNPs

Doug Speed;Gibran Hemani;Michael R. Johnson;David J. Balding.
American Journal of Human Genetics (2012)

612 Citations

Systematic identification of genetic influences on methylation across the human life course

Tom R. Gaunt;Hashem A. Shihab;Gibran Hemani;Josine L. Min.
Genome Biology (2016)

456 Citations

Orienting the causal relationship between imprecisely measured traits using GWAS summary data.

Gibran Hemani;Kate Tilling;George Davey Smith.
PLOS Genetics (2017)

444 Citations

Collider bias undermines our understanding of COVID-19 disease risk and severity

Gareth J. Griffith;Tim T. Morris;Matthew J. Tudball;Annie Herbert.
Nature Communications (2020)

443 Citations

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Frequent Co-Authors

External Links

Personal Website for Gibran Hemani