D-Index & Metrics Best Publications

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 40 Citations 15,163 94 World Ranking 5263 National Ranking 318

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Gene expression

His primary scientific interests are in Genetics, Gene, Complementary DNA, Genome and Gene expression profiling. His Genetics and Genomic library, Human genome, Genomics, Sequence analysis and Expressed sequence tag investigations all form part of his Genetics research activities. Masayoshi Itoh combines subjects such as Annotation and Computational biology with his study of Gene.

His Complementary DNA research is multidisciplinary, incorporating elements of Cloning, Molecular biology, Arabidopsis and RNA. His Genome research focuses on Transcriptome and how it connects with Transcriptional regulation, Polyadenylation and Three prime untranslated region. Masayoshi Itoh has researched Gene expression profiling in several fields, including DNA microarray and Cap analysis gene expression.

His most cited work include:

  • The Transcriptional Landscape of the Mammalian Genome (2876 citations)
  • Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs (1378 citations)
  • Collection, Mapping, and Annotation of Over 28,000 cDNA Clones from japonica Rice (829 citations)

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

His primary areas of study are Genetics, Gene, Computational biology, Cap analysis gene expression and Molecular biology. His Genetics study focuses mostly on Complementary DNA, Regulation of gene expression, Gene expression profiling, Genomic library and Human genome. His Human genome study frequently draws connections to adjacent fields such as Genomics.

Transcriptome, Transcription, Gene expression, Fantom and DNA methylation are the subjects of his Gene studies. His Computational biology research incorporates elements of RNA, Long non-coding RNA, Genome, Enhancer and Chromatin. His Molecular biology study combines topics from a wide range of disciplines, such as Peptide sequence, Polymerase and Primer.

He most often published in these fields:

  • Genetics (33.55%)
  • Gene (32.90%)
  • Computational biology (30.32%)

What were the highlights of his more recent work (between 2017-2021)?

  • Computational biology (30.32%)
  • Gene (32.90%)
  • Gene expression (14.19%)

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

His primary areas of investigation include Computational biology, Gene, Gene expression, Enhancer and Transcriptome. Masayoshi Itoh interconnects Functional annotation, Genome, Promoter, Cap analysis gene expression and Transcription in the investigation of issues within Computational biology. His Gene research entails a greater understanding of Genetics.

His study in Gene expression is interdisciplinary in nature, drawing from both Regulation of gene expression, Pathogenesis, Cancer research and Cell biology. His Enhancer research includes elements of RNA and Fantom. The Transcriptome study combines topics in areas such as Phenotype, Transcription factor, Gene knockdown and Cerebellum.

Between 2017 and 2021, his most popular works were:

  • Transcriptional landscape of Mycobacterium tuberculosis infection in macrophages. (35 citations)
  • Functional annotation of human long noncoding RNAs via molecular phenotyping (28 citations)
  • NET-CAGE characterizes the dynamics and topology of human transcribed cis -regulatory elements (25 citations)

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

  • Gene
  • DNA
  • Gene expression

Masayoshi Itoh spends much of his time researching Computational biology, Gene, Gene expression, Transcriptome and Phenotype. His studies in Computational biology integrate themes in fields like Enhancer, Cap analysis gene expression and Genome. His Genome study combines topics in areas such as Cell growth and Promoter activity.

His Gene research is within the category of Genetics. In his study, Transcription Factor Gene and Cell biology is strongly linked to Transcription, which falls under the umbrella field of Transcriptome. The concepts of his Phenotype study are interwoven with issues in Differential expression analysis, Gene Annotation and Fantom.

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 Transcriptional Landscape of the Mammalian Genome

P. Carninci;T. Kasukawa;S. Katayama;J. Gough.
Science (2005)

3468 Citations

Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

Y. Okazaki;M. Furuno;T. Kasukawa;J. Adachi.
Nature (2002)

1966 Citations

Collection, Mapping, and Annotation of Over 28,000 cDNA Clones from japonica Rice

Shoshi Kikuchi;Kouji Satoh;Toshifumi Nagata;Nobuyuki Kawagashira.
Science (2003)

990 Citations

Functional annotation of a full-length mouse cDNA collection

J. Kawai;A. Shinagawa;K. Shibata;M. Yoshino.
Nature (2001)

844 Citations

Functional annotation of a full-length Arabidopsis cDNA collection.

Motoaki Seki;Mari Narusaka;Asako Kamiya;Junko Ishida.
Science (2002)

749 Citations

An atlas of human long non-coding RNAs with accurate 5′ ends

Chung Chau Hon;Jordan A. Ramilowski;Jayson Harshbarger;Nicolas Bertin;Nicolas Bertin.
Nature (2017)

622 Citations

Gateways to the FANTOM5 promoter level mammalian expression atlas

Marina Lizio;Jayson Harshbarger;Hisashi Shimoji;Jessica Severin.
Genome Biology (2015)

501 Citations

Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells

Erik Arner;Carsten O. Daub;Kristoffer Vitting-Seerup;Robin Andersson.
Science (2015)

397 Citations

Normalization and subtraction of cap-trapper-selected cDNAs to prepare full-length cDNA libraries for rapid discovery of new genes.

Piero Carninci;Yuko Shibata;Norihito Hayatsu;Yuichi Sugahara.
Genome Research (2000)

393 Citations

A draft network of ligand–receptor-mediated multicellular signalling in human

Jordan A. Ramilowski;Tatyana Goldberg;Jayson Harshbarger;Edda Kloppmann.
Nature Communications (2015)

334 Citations

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