D-Index & Metrics Best Publications

Pamela Sklar

Icahn School of Medicine at Mount Sinai
United States

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

Medicine D-index 106 Citations 112,669 267 World Ranking 3730 National Ranking 2113

Genetics D-index 106 Citations 112,570 250 World Ranking 365 National Ranking 189

Overview

What is she best known for?

The fields of study Pamela Sklar is best known for:

Bipolar disorder
Gene
Genetics

In her works, Pamela Sklar conducts interdisciplinary research on Gene and Computational biology. Pamela Sklar merges Computational biology with Gene in her study. Her study ties her expertise on Linkage (software) together with the subject of Genetics. Single-nucleotide polymorphism is frequently linked to SNP in her study. Her Single-nucleotide polymorphism research extends to SNP, which is thematically connected. Pamela Sklar integrates several fields in her works, including Genotype and Genotyping. She incorporates Genotyping and Genotype in her studies. She combines Genetic association and Allele in her studies. She performs multidisciplinary study in the fields of Allele and Proband via her papers.

Her most cited work include:

De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia (727 citations)
Whole-genome association study of bipolar disorder (642 citations)
Family-based association study of 76 candidate genes in bipolar disorder: BDNF is a potential risk locus (544 citations)

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

Pamela Sklar integrates several fields in her works, including Gene and Genetic linkage. Pamela Sklar integrates Genetics and Locus (genetics) in her studies. She performs multidisciplinary studies into Locus (genetics) and Allele in her work. Pamela Sklar connects Allele with Genome-wide association study in her research. Pamela Sklar integrates Genome-wide association study and Single-nucleotide polymorphism in her studies. She conducts interdisciplinary study in the fields of Single-nucleotide polymorphism and Genotyping through her works. Her work often combines Genotyping and Genotype studies. Her Genotype study frequently involves adjacent topics like SNP. She combines topics linked to Schizophrenia (object-oriented programming) with her work on Psychiatry.

Pamela Sklar most often published in these fields:

Gene (94.29%)
Genetics (94.29%)
Genotype (77.14%)

What were the highlights of her more recent work (between 2016-2019)?

Gene (100.00%)
Genetics (100.00%)
Computational biology (66.67%)

In recent works Pamela Sklar was focusing on the following fields of study:

Gene and Genetic variation are two areas of study in which Pamela Sklar engages in interdisciplinary research. Pamela Sklar applies her multidisciplinary studies on Genetic variation and Genetics in her research. Pamela Sklar integrates several fields in her works, including Genetics and Phenotype. Her research on Phenotype often connects related areas such as Frameshift mutation. In her study, Pamela Sklar carries out multidisciplinary Frameshift mutation and Genome research. Pamela Sklar merges many fields, such as Genome and Genotype, in her writings. Her study brings together the fields of Expression quantitative trait loci and Genotype. Her work often combines Expression quantitative trait loci and Genome-wide association study studies. In her works, she conducts interdisciplinary research on Genome-wide association study and Genetic association.

Between 2016 and 2019, her most popular works were:

Evidence for genetic heterogeneity between clinical subtypes of bipolar disorder (140 citations)
Co-localization of Conditional eQTL and GWAS Signatures in Schizophrenia (8 citations)
Characterising the loss-of-function impact of 5’ untranslated region variants in whole genome sequence data from 15,708 individuals (7 citations)

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

PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

Shaun Purcell;Shaun Purcell;Benjamin Neale;Benjamin Neale;Kathe Todd-Brown;Lori Thomas.
American Journal of Human Genetics (2007)

26782 Citations

Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Nature (2016)

8828 Citations

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Nature (2014)

6161 Citations

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

Shaun M. Purcell;Shaun M. Purcell;Naomi R. Wray;Jennifer L. Stone;Jennifer L. Stone;Peter M. Visscher.
Nature (2009)

4024 Citations

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

Jordan W. Smoller;Kenneth Kendler;Nicholas John Craddock;Phil Hyoun Lee.
The Lancet (2013)

3879 Citations

Molecular Genetics of Attention-Deficit/Hyperactivity Disorder

Stephen V. Faraone;Roy H. Perlis;Alysa E. Doyle;Jordan W. Smoller.
Biological Psychiatry (2005)

3272 Citations

Clonal Hematopoiesis and Blood-Cancer Risk Inferred from Blood DNA Sequence

Giulio Genovese;Anna K. Kähler;Robert E. Handsaker;Johan Lindberg.
The New England Journal of Medicine (2014)

2560 Citations

Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)

2508 Citations

10 Years of GWAS Discovery: Biology, Function, and Translation

Peter M. Visscher;Naomi R. Wray;Qian Zhang;Pamela Sklar.
American Journal of Human Genetics (2017)

2477 Citations

Charaterization of single nucleotide polymorphisms in coding regions of human genes

David Altshuler;Michele Cargill;George Q. Daley;George Q. Daley;James S. Ireland.
Nature Genetics (2000)

2446 Citations

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