H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Genetics and Molecular Biology H-index 40 Citations 7,962 81 World Ranking 5141 National Ranking 2374

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Statistics

Genome-wide association study, Genetics, Genetic association, Linkage disequilibrium and Quantitative trait locus are his primary areas of study. He has researched Genome-wide association study in several fields, including Transcriptome, Computational biology and Disease. His biological study focuses on Heritability.

His Genetic association research incorporates elements of Imputation, Correlation and dependence and Exome. His Linkage disequilibrium research integrates issues from Gene flow, Inference and Locus. His work carried out in the field of Quantitative trait locus brings together such families of science as Evolutionary biology, Genetic correlation, Bioinformatics, Pruning and Gene expression profiling.

His most cited work include:

  • Integrative approaches for large-scale transcriptome-wide association studies (798 citations)
  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (575 citations)
  • Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases (440 citations)

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

The scientist’s investigation covers issues in Genome-wide association study, Genetics, Computational biology, Genetic association and Gene. The Genome-wide association study study combines topics in areas such as Quantitative trait locus, Genetic architecture, Expression quantitative trait loci and Linkage disequilibrium. Genetics is frequently linked to Disease in his study.

Bogdan Pasaniuc has included themes like Exome sequencing, Sample size determination, Genomics, Multivariate statistics and DNA sequencing in his Computational biology study. The study incorporates disciplines such as SNP, Genetic variation, Prostate cancer and Candidate gene in addition to Genetic association. His research integrates issues of Posterior probability, Association mapping and Medical genetics in his study of Locus.

He most often published in these fields:

  • Genome-wide association study (54.40%)
  • Genetics (48.90%)
  • Computational biology (37.91%)

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

  • Computational biology (37.91%)
  • Genome-wide association study (54.40%)
  • Expression quantitative trait loci (18.13%)

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

Bogdan Pasaniuc mainly focuses on Computational biology, Genome-wide association study, Expression quantitative trait loci, Single-nucleotide polymorphism and Genetic association. His Computational biology research is multidisciplinary, incorporating perspectives in Phenotype, Gene and Human genetics. His Gene research is included under the broader classification of Genetics.

His Genome-wide association study research incorporates themes from Meta-analysis, Cancer and Locus. His biological study spans a wide range of topics, including Evolutionary biology, Heritability and Quantitative trait locus, Genetic architecture. His Genetic association research also works with subjects such as

  • False positive rate that intertwine with fields like Sample size determination,
  • Gene regulatory network most often made with reference to Autism spectrum disorder.

Between 2019 and 2021, his most popular works were:

  • Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma. (116 citations)
  • Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms. (53 citations)
  • Prostate cancer reactivates developmental epigenomic programs during metastatic progression. (22 citations)

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

  • Gene
  • Statistics
  • Genetics

His primary scientific interests are in Evolutionary biology, Single-nucleotide polymorphism, Linkage disequilibrium, Heritability and Minor allele frequency. In Evolutionary biology, Bogdan Pasaniuc works on issues like Quantitative trait locus, which are connected to Summary statistics, Association test and Phenotype. The concepts of his Linkage disequilibrium study are interwoven with issues in Allele frequency and Genetic architecture.

His research on Allele frequency also deals with topics like

  • Bayes' theorem that connect with fields like Genome-wide association study,
  • Genetic variation together with Disease. His research in Heritability intersects with topics in Biobank, Dominance and Genotype. The study of Gene and Genetics are components of his Allele research.

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.

Top Publications

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

Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies

Gleb Kichaev;Wen-Yun Yang;Sara Lindstrom;Farhad Hormozdiari.
PLOS Genetics (2014)

350 Citations

Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits

Noah Zaitlen;Phillip L. Kraft;Phillip L. Kraft;Nick Patterson;Bogdan Pasaniuc.
PLOS Genetics (2013)

328 Citations

Colocalization of GWAS and eQTL Signals Detects Target Genes

Farhad Hormozdiari;Martijn van de Bunt;Martijn van de Bunt;Ayellet V. Segrè;Xiao Li.
American Journal of Human Genetics (2016)

321 Citations

Identifying causal variants at loci with multiple signals of association.

Farhad Hormozdiari;Emrah Kostem;Eun Yong Kang;Bogdan Pasaniuc.
Genetics (2014)

291 Citations

Dissecting the genetics of complex traits using summary association statistics

Bogdan Pasaniuc;Alkes L. Price;Alkes L. Price.
Nature Reviews Genetics (2017)

280 Citations

Leveraging Polygenic Functional Enrichment to Improve GWAS Power

Gleb Kichaev;Gaurav Bhatia;Po Ru Loh;Steven Gazal;Steven Gazal.
American Journal of Human Genetics (2019)

279 Citations

Contrasting the Genetic Architecture of 30 Complex Traits from Summary Association Data.

Huwenbo Shi;Gleb Kichaev;Bogdan Pasaniuc.
American Journal of Human Genetics (2016)

243 Citations

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

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