H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry H-index 41 Citations 12,250 114 World Ranking 16092 National Ranking 6665

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Statistics

His primary areas of investigation include Genetics, Genome-wide association study, Genetic association, Quantitative trait locus and Single-nucleotide polymorphism. His study in Evolutionary biology extends to Genetics with its themes. His Evolutionary biology study combines topics in areas such as Population structure, Genetic variants, Genetic genealogy, Family structure and Disease risk.

His Genome-wide association study research includes elements of Genetic predisposition, Population stratification, T cell, Immune system and Genetic variation. His work carried out in the field of Genetic association brings together such families of science as False positive paradox, Principal component analysis, Imputation, Computational biology and Cohort. His research in Quantitative trait locus intersects with topics in Body mass index, Statistics, Cohort study, Founder effect and Linkage disequilibrium.

His most cited work include:

  • Variance component model to account for sample structure in genome-wide association studies (1646 citations)
  • Efficient Control of Population Structure in Model Organism Association Mapping (1369 citations)
  • New approaches to population stratification in genome-wide association studies (816 citations)

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

Noah Zaitlen focuses on Genetics, Computational biology, Genome-wide association study, Genetic association and Single-nucleotide polymorphism. His works in Genetic variation, Heritability, SNP, Allele and Missing heritability problem are all subjects of inquiry into Genetics. His research integrates issues of RNA, Gene, Genomics and Imputation, Genotyping in his study of Computational biology.

His biological study spans a wide range of topics, including Evolutionary biology, Population stratification, Heredity, Quantitative trait locus and Disease. His Evolutionary biology research incorporates elements of Selection and Genetic genealogy. His Genetic association research focuses on Genetic architecture and how it relates to Genetic correlation and Epistasis.

He most often published in these fields:

  • Genetics (48.13%)
  • Computational biology (46.52%)
  • Genome-wide association study (30.48%)

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

  • Computational biology (46.52%)
  • Genetic architecture (13.37%)
  • Genetic genealogy (8.02%)

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

Noah Zaitlen spends much of his time researching Computational biology, Genetic architecture, Genetic genealogy, Epistasis and Genetics. His study in Computational biology is interdisciplinary in nature, drawing from both Precision medicine, RNA, Amyotrophic lateral sclerosis, Expression quantitative trait loci and Mixed model. His Expression quantitative trait loci research includes themes of Gene expression and Genetic association.

As a part of the same scientific study, Noah Zaitlen usually deals with the Genetic association, concentrating on Phenome and frequently concerns with Genome-wide association study. His work is dedicated to discovering how Mixed model, Sample size determination are connected with Evolutionary biology and other disciplines. Noah Zaitlen studies Genetics, namely Allelic heterogeneity.

Between 2019 and 2021, his most popular works were:

  • Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex. (23 citations)
  • A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits (19 citations)
  • A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits (19 citations)

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

  • Gene
  • Genetics
  • Statistics

His primary scientific interests are in Computational biology, Genetic correlation, Mixed model, Genetics and Negative selection. Noah Zaitlen has included themes like Population genetics, Replicate, Serial analysis of gene expression, Heritability and Range in his Computational biology study. The study incorporates disciplines such as Imputation, Genotyping, Causal inference and Best linear unbiased prediction in addition to Genetic correlation.

His Mixed model study integrates concerns from other disciplines, such as Precision medicine, False positive paradox, Sample size determination, Heteroscedasticity and Functional genomics. His study in Allelic heterogeneity, Genome-wide association study, Gene expression, RNA and Transcriptome falls within the category of Genetics. He has researched Negative selection in several fields, including Evolutionary biology, Pleiotropy, Robustness, Polygene and Directional selection.

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

Variance component model to account for sample structure in genome-wide association studies

Hyun Min Kang;Jae Hoon Sul;Noah A. Zaitlen.
Nature Genetics (2010)

1646 Citations

Efficient Control of Population Structure in Model Organism Association Mapping

Hyun Min Kang;Noah A. Zaitlen;Claire M. Wade;Claire M. Wade;Andrew Kirby;Andrew Kirby.
Genetics (2008)

1452 Citations

New approaches to population stratification in genome-wide association studies

Alkes L. Price;Noah A. Zaitlen;Noah A. Zaitlen;David Reich;Nick Patterson.
Nature Reviews Genetics (2010)

975 Citations

Genome-wide association analysis of metabolic traits in a birth cohort from a founder population

Chiara Sabatti;Anna-Liisa Hartikainen;Anneli Pouta.
Nature Genetics (2009)

723 Citations

Advantages and pitfalls in the application of mixed-model association methods

Jian Yang;Noah A Zaitlen;Michael E Goddard;Peter M Visscher;Peter M Visscher.
Nature Genetics (2014)

549 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

Genome-wide association study of bipolar disorder in European American and African American individuals.

E. N. Smith;E. N. Smith;C. S. Bloss;J. A. Badner;T. Barrett.
Molecular Psychiatry (2009)

373 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

Multiplexed droplet single-cell RNA-sequencing using natural genetic variation

Hyun Min Kang;Meena Subramaniam;Sasha Targ;Michelle Nguyen.
Nature Biotechnology (2018)

319 Citations

Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

Bogdan Pasaniuc;Bogdan Pasaniuc;Nadin Rohland;Nadin Rohland;Paul J. McLaren;Paul J. McLaren;Kiran Garimella.
Nature Genetics (2012)

210 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Noah Zaitlen

Benjamin M. Neale

Benjamin M. Neale

Harvard University

Publications: 113

Alkes L. Price

Alkes L. Price

Harvard University

Publications: 113

Eleazar Eskin

Eleazar Eskin

University of California, Los Angeles

Publications: 110

Mark I. McCarthy

Mark I. McCarthy

University of Oxford

Publications: 104

Gonçalo R. Abecasis

Gonçalo R. Abecasis

University of Michigan–Ann Arbor

Publications: 97

Aarno Palotie

Aarno Palotie

University of Helsinki

Publications: 94

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 94

Peter M. Visscher

Peter M. Visscher

University of Queensland

Publications: 93

Tonu Esko

Tonu Esko

University of Tartu

Publications: 88

Samuli Ripatti

Samuli Ripatti

University of Helsinki

Publications: 87

Dorret I. Boomsma

Dorret I. Boomsma

Vrije Universiteit Amsterdam

Publications: 87

Marjo-Riitta Järvelin

Marjo-Riitta Järvelin

Imperial College London

Publications: 84

Mark J. Daly

Mark J. Daly

University of Helsinki

Publications: 83

Naomi R. Wray

Naomi R. Wray

University of Queensland

Publications: 83

Nicholas G. Martin

Nicholas G. Martin

QIMR Berghofer Medical Research Institute

Publications: 83

Something went wrong. Please try again later.