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
Genetics D-index 80 Citations 33,562 436 World Ranking 1009 National Ranking 495

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

Christopher E. Mason spends much of his time researching Genetics, Cancer research, Computational biology, Gene and RNA. His Gene expression profiling, RNA-Seq, Human genome, Genomics and Genome study are his primary interests in Genetics. In his study, Structural variation and Exome is inextricably linked to DNA sequencing, which falls within the broad field of Human genome.

The concepts of his Cancer research study are interwoven with issues in Leukemia, Epigenetics and Germline mutation. His Computational biology study frequently intersects with other fields, such as Normalization. His work deals with themes such as N6-Methyladenosine, Sequence analysis and Messenger RNA, which intersect with RNA.

His most cited work include:

  • RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays (2282 citations)
  • Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons (1598 citations)
  • An integrated map of structural variation in 2,504 human genomes (1351 citations)

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

His primary scientific interests are in Genetics, Computational biology, Genome, Gene and Cell biology. Genetics is represented through his Human genome, Gene expression profiling and Epigenetics research. His Computational biology study combines topics from a wide range of disciplines, such as RNA, Transcriptome, Genomics, DNA sequencing and Metagenomics.

His Cell biology study incorporates themes from Cell and Cellular differentiation. His Stem cell research integrates issues from Immunology and Bone marrow. His Haematopoiesis research includes elements of Progenitor cell and Myeloid, Cancer research, Myeloid leukemia.

He most often published in these fields:

  • Genetics (22.06%)
  • Computational biology (22.06%)
  • Genome (13.28%)

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

  • Computational biology (22.06%)
  • Cell biology (10.92%)
  • Genome (13.28%)

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

His main research concerns Computational biology, Cell biology, Genome, Transcriptome and Disease. The various areas that he examines in his Computational biology study include Severe acute respiratory syndrome coronavirus 2 and Metagenomics. Christopher E. Mason works mostly in the field of Cell biology, limiting it down to topics relating to DNA damage and, in certain cases, Telomere.

His Genome research is within the category of Genetics. His work focuses on many connections between Transcriptome and other disciplines, such as RNA, that overlap with his field of interest in DNA, Coronavirus and Virus. As a part of the same scientific family, he mostly works in the field of Disease, focusing on Gene and, on occasion, Virology and Cancer research.

Between 2019 and 2021, his most popular works were:

  • Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection. (78 citations)
  • Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions (65 citations)
  • Host, Viral, and Environmental Transcriptome Profiles of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) (56 citations)

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

  • Gene
  • DNA
  • Cancer

Christopher E. Mason mainly focuses on Transcriptome, Spaceflight, RNA, Computational biology and Virology. His Transcriptome research is multidisciplinary, incorporating elements of Immunology, FADS1, Genetic variation and Outbreak. The subject of his RNA research is within the realm of Genetics.

His work on Fatty acid metabolism and Fatty acid metabolic process is typically connected to FADS2, Fatty acid desaturase and Monozygotic twin as part of general Genetics study, connecting several disciplines of science. His Computational biology research is multidisciplinary, incorporating perspectives in Digital polymerase chain reaction, Concordance, Sequence analysis and Reproducibility. His Virology study combines topics in areas such as Pandemic, Gene, Coronavirus and Severe acute respiratory syndrome coronavirus 2.

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

RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays

John C. Marioni;Christopher E. Mason;Shrikant M. Mane;Matthew Stephens.
Genome Research (2008)

3232 Citations

Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons

Kate D. Meyer;Yogesh Saletore;Paul Zumbo;Olivier Elemento.
Cell (2012)

2672 Citations

An integrated map of structural variation in 2,504 human genomes

Peter H. Sudmant;Tobias Rausch;Eugene J. Gardner;Robert E. Handsaker;Robert E. Handsaker.
Nature (2015)

1865 Citations

Multiple Recurrent De Novo CNVs, Including Duplications of the 7q11.23 Williams Syndrome Region, Are Strongly Associated with Autism

Stephan J. Sanders;A. Gulhan Ercan-Sencicek;Vanessa Hus;Rui Luo.
Neuron (2011)

1348 Citations

methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles

Altuna Akalin;Matthias Kormaksson;Sheng Li;Francine E Garrett-Bakelman.
Genome Biology (2012)

1279 Citations

Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome

Bastian Linder;Anya V Grozhik;Anthony O Olarerin-George;Cem Meydan.
Nature Methods (2015)

937 Citations

Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data

Franck Rapaport;Raya Khanin;Yupu Liang;Mono Pirun.
Genome Biology (2013)

768 Citations

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg.
Nature Biotechnology (2014)

755 Citations

Recurrent somatic TET2 mutations in normal elderly individuals with clonal hematopoiesis

Lambert Busque;Jay P Patel;Maria E Figueroa;Aparna Vasanthakumar.
Nature Genetics (2012)

749 Citations

The N 6 -methyladenosine (m 6 A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells

Ly P Vu;Brian F Pickering;Yuanming Cheng;Sara Zaccara.
Nature Medicine (2017)

741 Citations

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