D-Index & Metrics Best Publications

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 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
Medicine D-index 77 Citations 66,663 210 World Ranking 13100 National Ranking 6816

Research.com Recognitions

Awards & Achievements

2017 - Member of the National Academy of Medicine (NAM)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Internal medicine

His main research concerns Medulloblastoma, Bioinformatics, Cancer research, Gene expression profiling and Mutation. His research in Medulloblastoma intersects with topics in Molecular classification, SMARCA4 and PTCH1. His biological study spans a wide range of topics, including Cancer, Genomics, Disease and Gene, Human genetics.

His Gene expression profiling research is multidisciplinary, incorporating elements of Malignancy, Clinical trial, Consensus conference, Microarray and Adult Medulloblastoma. The subject of his Mutation research is within the realm of Genetics. In his work, Computational biology is strongly intertwined with Gene signature, which is a subfield of Genome.

His most cited work include:

  • Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles (22405 citations)
  • The landscape of somatic copy-number alteration across human cancers (2544 citations)
  • Prediction of central nervous system embryonal tumour outcome based on gene expression (2046 citations)

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

Medulloblastoma, Cancer research, Bioinformatics, Genetics and Cancer are his primary areas of study. Scott L. Pomeroy combines subjects such as Internal medicine, Gene expression profiling, Oncology and Genomics with his study of Medulloblastoma. His research investigates the connection with Cancer research and areas like Mutation rate which intersect with concerns in Exome sequencing.

His research in Bioinformatics tackles topics such as Disease which are related to areas like In silico. His work on Gene, Chromatin, Exome and Comparative genomic hybridization is typically connected to DDX3X as part of general Genetics study, connecting several disciplines of science. A large part of his Gene studies is devoted to Genome.

He most often published in these fields:

  • Medulloblastoma (53.30%)
  • Cancer research (33.04%)
  • Bioinformatics (23.79%)

What were the highlights of his more recent work (between 2014-2021)?

  • Medulloblastoma (53.30%)
  • Bioinformatics (23.79%)
  • Cancer research (33.04%)

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

His primary areas of investigation include Medulloblastoma, Bioinformatics, Cancer research, Genomics and Disease. His study in Medulloblastoma is interdisciplinary in nature, drawing from both Cancer, Internal medicine, Oncology and Gene expression profiling. In the field of Bioinformatics, his study on Clinical trial overlaps with subjects such as Evidence-based medicine.

His work deals with themes such as Proteome, Rna expression, Proteomics, Molecular heterogeneity and Mutation rate, which intersect with Cancer research. His studies in Genomics integrate themes in fields like Cell, Wnt signaling pathway and Computational biology. His study with Genome involves better knowledge in Gene.

Between 2014 and 2021, his most popular works were:

  • The whole-genome landscape of medulloblastoma subtypes (376 citations)
  • Risk stratification of childhood medulloblastoma in the molecular era: the current consensus (243 citations)
  • SMARCB1-mediated SWI/SNF complex function is essential for enhancer regulation (150 citations)

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

  • Gene
  • Cancer
  • Internal medicine

His primary areas of study are Medulloblastoma, Bioinformatics, Cancer research, Genomics and DNA methylation. His Medulloblastoma research incorporates elements of Surgery, Cohort study, Molecular heterogeneity, Proteomics and Tumor Pathology. His research integrates issues of Carcinogenesis, Childhood Medulloblastoma, In silico and Gene expression profiling in his study of Bioinformatics.

His Cancer research study incorporates themes from Proteome, Kinase, Mutation rate and Rna expression. Genomics is a subfield of Genome that Scott L. Pomeroy tackles. His DNA methylation study is focused on Gene in general.

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

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Aravind Subramanian;Pablo Tamayo;Vamsi K. Mootha;Sayan Mukherjee.
Proceedings of the National Academy of Sciences of the United States of America (2005)

34560 Citations

The landscape of somatic copy-number alteration across human cancers

Rameen Beroukhim;Craig H. Mermel;Craig H. Mermel;Dale Porter;Guo Wei.
(2010)

3700 Citations

Prediction of central nervous system embryonal tumour outcome based on gene expression

Scott L. Pomeroy;Pablo Tamayo;Michelle Gaasenbeek;Lisa M. Sturla.
Nature (2002)

2811 Citations

Molecular Subgroups of Medulloblastoma: The Current Consensus

Michael D. Taylor;Paul A. Northcott;Andrey Korshunov;Marc Remke;Marc Remke.
Acta Neuropathologica (2012)

1703 Citations

Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.

Catherine L. Nutt;D. R. Mani;Rebecca A. Betensky;Pablo Tamayo.
Cancer Research (2003)

1119 Citations

Tumour microvesicles contain retrotransposon elements and amplified oncogene sequences

Leonora Balaj;Ryan Lessard;Lixin Dai;Yoon Jae Cho.
Nature Communications (2011)

1071 Citations

Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas

Marcel Kool;Andrey Korshunov;Marc Remke;Marc Remke;David T.W. Jones.
Acta Neuropathologica (2012)

964 Citations

Dissecting the genomic complexity underlying medulloblastoma

David T. W. Jones;Natalie Jäger;Marcel Kool;Thomas Zichner.
Nature (2012)

850 Citations

Subgroup-specific structural variation across 1,000 medulloblastoma genomes

Paul A. Northcott;Paul A. Northcott;David J.H. Shih;John Peacock;Livia Garzia.
Nature (2012)

810 Citations

Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations

Trevor J Pugh;Trevor J Pugh;Shyamal Dilhan Weeraratne;Shyamal Dilhan Weeraratne;Tenley C. Archer;Tenley C. Archer;Daniel A. Pomeranz Krummel.
Nature (2012)

752 Citations

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