D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge Research.com 2022 Best Female Scientist Award Badge

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
Genetics and Molecular Biology D-index 138 Citations 218,996 236 World Ranking 93 National Ranking 62
Best female scientists D-index 183 Citations 311,048 410 World Ranking 22 National Ranking 14
Best Scientists D-index 183 Citations 311,048 410 World Ranking 374 National Ranking 249

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

2022 - Research.com Best Scientist Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Cancer
  • Mutation

Her primary areas of investigation include Genetics, Exome, Cancer research, Gene and Single-nucleotide polymorphism. Her work in Haplotype, Genome, Human genome, Genome-wide association study and Genomics are all subfields of Genetics research. Her Exome research incorporates elements of Molecular genetics, Cancer and Mutation rate.

The study incorporates disciplines such as DNA methylation, Transcriptome, IDH1, CDKN2A and Gefitinib in addition to Cancer research. As a part of the same scientific family, Stacey Gabriel mostly works in the field of Gene, focusing on Adenocarcinoma and, on occasion, Lung cancer. Her work carried out in the field of Single-nucleotide polymorphism brings together such families of science as Evacetrapib and Cholesterol.

Her most cited work include:

  • The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data (14890 citations)
  • A global reference for human genetic variation. (8799 citations)
  • EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy. (8136 citations)

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

Stacey Gabriel spends much of her time researching Genetics, Cancer research, Gene, Exome sequencing and Exome. Her Genetics research focuses on Genome-wide association study, Single-nucleotide polymorphism, Mutation, Genome and Genetic association. Her Genome research focuses on Computational biology and how it connects with Genomics and Genetic variation.

The Cancer research study combines topics in areas such as DNA methylation, Somatic cell, Carcinogenesis, Colorectal cancer and PTEN. Her research integrates issues of Internal medicine and Point mutation in her study of Exome sequencing. Stacey Gabriel works mostly in the field of Exome, limiting it down to topics relating to Cancer and, in certain cases, Bioinformatics, as a part of the same area of interest.

She most often published in these fields:

  • Genetics (51.17%)
  • Cancer research (19.01%)
  • Gene (18.78%)

What were the highlights of her more recent work (between 2018-2021)?

  • Computational biology (11.27%)
  • Gene (18.78%)
  • Genetics (51.17%)

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

Stacey Gabriel focuses on Computational biology, Gene, Genetics, Whole genome sequencing and Genome. Her Computational biology study combines topics from a wide range of disciplines, such as Structural variation, Proteogenomics, Genomics, Population genetics and Proteomics. Stacey Gabriel has included themes like Epithelium and Embryo, Cell biology in her Gene study.

Genetics is often connected to Congenital hypoplastic anemia in her work. Her Whole genome sequencing research also works with subjects such as

  • Genetic architecture, which have a strong connection to Indel,

  • Precision medicine that connect with fields like Personalized medicine. Her Genome study also includes fields such as

  • Expression quantitative trait loci which is related to area like Evolutionary biology, Genetic genealogy, Heritability, Human genome and 1000 Genomes Project,

  • Chromothripsis, which have a strong connection to Mutation rate, Germline mutation, Germline, Point mutation and Massive parallel sequencing.

Between 2018 and 2021, her most popular works were:

  • Pan-cancer analysis of whole genomes (751 citations)
  • A structural variation reference for medical and population genetics (193 citations)
  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. (189 citations)

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

  • Gene
  • Mutation
  • Cancer

Her main research concerns Computational biology, Genomics, Genome, Proteogenomics and Proteomics. Her work in Computational biology addresses issues such as Genetic architecture, which are connected to fields such as Data sequences. Genomics is a subfield of Genetics that Stacey Gabriel explores.

Her Genome research incorporates themes from Chromothripsis, Population genetics and Genetic association. Her Proteogenomics study incorporates themes from Druggability, Histone, Serous fluid and Cancer research. Her Proteomics research includes elements of Cancer and Wnt signaling pathway.

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

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

Aaron Henrik McKenna;Matthew Hanna;Eric Banks;Andrey Sivachenko.
Genome Research (2010)

13985 Citations

EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

J. Guillermo Paez;Pasi A. Jänne;Pasi A. Jänne;Jeffrey C. Lee;Sean Tracy.
Science (2004)

10881 Citations

A framework for variation discovery and genotyping using next-generation DNA sequencing data

Mark A DePristo;Eric Banks;Ryan Poplin;Kiran V Garimella.
Nature Genetics (2011)

7863 Citations

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

Roel G. W. Verhaak;Katherine A. Hoadley;Elizabeth Purdom;Victoria Wang.
Cancer Cell (2010)

7711 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)

6787 Citations

Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt;Robert S. Fulton;Michael D. McLellan;Heather Schmidt.
Nature (2012)

6768 Citations

A global reference for human genetic variation.

Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
Nature (2015)

6262 Citations

The Structure of Haplotype Blocks in the Human Genome

Stacey B. Gabriel;Stephen F. Schaffner;Huy Nguyen;Jamie M. Moore.
Science (2002)

6078 Citations

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

Jordi Barretina;Giordano Caponigro;Nicolas Stransky;Kavitha Venkatesan.
Nature (2012)

5391 Citations

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir.
Nature (2008)

5348 Citations

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