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
Biology and Biochemistry D-index 40 Citations 12,486 134 World Ranking 17037 National Ranking 7030

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Enzyme

His scientific interests lie mostly in Genome-wide association study, Genetics, Linkage disequilibrium, Heritability and Genetic association. His Genome-wide association study research includes elements of Quantitative trait locus, Transcriptome and Computational biology. His Computational biology research is multidisciplinary, incorporating perspectives in Genome and Genomics.

Alexander Gusev works mostly in the field of Linkage disequilibrium, limiting it down to concerns involving Regression and, occasionally, Sample size determination. As a part of the same scientific family, he mostly works in the field of Heritability, focusing on Single-nucleotide polymorphism and, on occasion, Allele, Evolutionary biology and Disease. His research in Genetic association intersects with topics in Imputation, Expression quantitative trait loci and Summary statistics.

His most cited work include:

  • An atlas of genetic correlations across human diseases and traits (1758 citations)
  • Partitioning heritability by functional annotation using genome-wide association summary statistics (1149 citations)
  • Integrative approaches for large-scale transcriptome-wide association studies (798 citations)

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

His primary areas of investigation include Genome-wide association study, Genetics, Genetic association, Computational biology and Heritability. His research integrates issues of Quantitative trait locus, Expression quantitative trait loci, Linkage disequilibrium and SNP in his study of Genome-wide association study. The various areas that Alexander Gusev examines in his Quantitative trait locus study include Allele specific and Gene expression profiling.

His research investigates the connection between Linkage disequilibrium and topics such as Regression that intersect with issues in Sample size determination. His work carried out in the field of Computational biology brings together such families of science as Transcription factor, Genome, Genomics, Chromatin and Locus. Alexander Gusev has included themes like Disease, Missing heritability problem and Genetic architecture in his Heritability study.

He most often published in these fields:

  • Genome-wide association study (60.41%)
  • Genetics (46.53%)
  • Genetic association (33.06%)

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

  • Genome-wide association study (60.41%)
  • Computational biology (36.73%)
  • Germline (23.67%)

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

Genome-wide association study, Computational biology, Germline, Genetics and Expression quantitative trait loci are his primary areas of study. His Genome-wide association study research is multidisciplinary, incorporating elements of Quantitative trait locus, Data mining, Genetic association and Evolutionary biology. His Genetic association research also works with subjects such as

  • Correlation and related Sample size determination and Statistical power,
  • Gene expression which is related to area like Regression and Disease.

His Computational biology study deals with Imputation intersecting with SNP array. Gene is the focus of his Genetics research. His Gene research incorporates themes from Prostate cancer and Heritability.

Between 2019 and 2021, his most popular works were:

  • Quantifying genetic effects on disease mediated by assayed gene expression levels (43 citations)
  • Quantifying genetic effects on disease mediated by assayed gene expression levels (43 citations)
  • Quantifying genetic effects on disease mediated by assayed gene expression levels (43 citations)

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

  • Gene
  • Genetics
  • Statistics

Alexander Gusev spends much of his time researching Genome-wide association study, Genetics, Linkage disequilibrium, Somatic cell and Quantitative trait locus. His Genome-wide association study research includes elements of Tumor microenvironment, Cancer research, Genetic association and Candidate gene. His Genetic association research incorporates elements of Expression quantitative trait loci and Gene expression.

The concepts of his Gene expression study are interwoven with issues in Disease, Regression and Heritability. Alexander Gusev studies Gene, a branch of Genetics. His Linkage disequilibrium study frequently draws connections between related disciplines such as Computational biology.

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

An atlas of genetic correlations across human diseases and traits

Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K Finucane;Verneri Anttila;Verneri Anttila;Alexander Gusev.
Nature Genetics (2015)

1559 Citations

Partitioning heritability by functional annotation using genome-wide association summary statistics

Hilary K Finucane;Hilary K Finucane;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Alexander Gusev;Gosia Trynka.
Nature Genetics (2015)

963 Citations

Integrative approaches for large-scale transcriptome-wide association studies

Alexander Gusev;Alexander Gusev;Arthur Ko;Huwenbo Shi;Gaurav Bhatia;Gaurav Bhatia.
Nature Genetics (2016)

631 Citations

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)

496 Citations

Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases

Alexander Gusev;S. Hong Lee;Gosia Trynka;Hilary Finucane.
American Journal of Human Genetics (2014)

445 Citations

Whole population, genome-wide mapping of hidden relatedness

Alexander Gusev;Jennifer K. Lowe;Markus Stoffel;Mark J. Daly.
Genome Research (2008)

434 Citations

Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types.

Hilary K Finucane;Hilary K Finucane;Hilary K Finucane;Yakir A Reshef;Verneri Anttila;Verneri Anttila;Kamil Slowikowski;Kamil Slowikowski;Kamil Slowikowski.
Nature Genetics (2018)

362 Citations

Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis

Po-Ru Loh;Po-Ru Loh;Gaurav Bhatia;Gaurav Bhatia;Alexander Gusev;Alexander Gusev;Hilary K Finucane.
Nature Genetics (2015)

326 Citations

Linkage disequilibrium-dependent architecture of human complex traits shows action of negative selection.

Steven Gazal;Hilary K Finucane;Hilary K Finucane;Hilary K Finucane;Nicholas A Furlotte;Po-Ru Loh;Po-Ru Loh.
Nature Genetics (2017)

203 Citations

Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights

Alexander Gusev;Alexander Gusev;Nicholas Mancuso;Hyejung Won;Maria Kousi.
Nature Genetics (2018)

198 Citations

Best Scientists Citing Alexander Gusev

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Jordan W. Smoller

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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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