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 109 Citations 86,429 329 World Ranking 308 National Ranking 34

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Gene expression

Genetics, Gene, Genome, Human genome and Computational biology are his primary areas of study. Genetics is represented through his Regulation of gene expression, Gene expression, Gene expression profiling, Promoter and Complementary DNA research. His biological study spans a wide range of topics, including Transcription factor and Cap analysis gene expression.

His research integrates issues of Japonica, DNA methylation and Sequence alignment in his study of Genome. His research in Computational biology intersects with topics in Chromatin, GENCODE, ENCODE and Cell type. His Transcription study combines topics from a wide range of disciplines, such as Three prime untranslated region and Cell biology.

His most cited work include:

  • Initial sequencing and comparative analysis of the mouse genome. (5789 citations)
  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Landscape of transcription in human cells (3260 citations)

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

Piero Carninci mainly investigates Genetics, Computational biology, Gene, Genome and Transcriptome. His Gene expression profiling, Promoter, Gene expression, Regulation of gene expression and RNA investigations are all subjects of Genetics research. His work in RNA addresses issues such as Molecular biology, which are connected to fields such as DNA.

His biological study spans a wide range of topics, including Bioinformatics, Fantom, Genomics, Chromatin and Cap analysis gene expression. His Gene and Transcription, Complementary DNA, Transcription factor, Sequence analysis and Intron investigations all form part of his Gene research activities. Piero Carninci mostly deals with Human genome in his studies of Genome.

He most often published in these fields:

  • Genetics (47.12%)
  • Computational biology (34.99%)
  • Gene (34.00%)

What were the highlights of his more recent work (between 2015-2021)?

  • Computational biology (34.99%)
  • Gene (34.00%)
  • Transcriptome (17.69%)

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

Piero Carninci spends much of his time researching Computational biology, Gene, Transcriptome, RNA and Cell biology. His Computational biology study deals with Transcription intersecting with DNA. His Gene research is within the category of Genetics.

He has included themes like Phenotype, Functional annotation, Transcription factor and Immunology in his Transcriptome study. His RNA study incorporates themes from Translation, Messenger RNA and Function. His Cell biology research is multidisciplinary, incorporating elements of Translational regulation and DNA damage.

Between 2015 and 2021, his most popular works were:

  • The Human Cell Atlas (853 citations)
  • An atlas of human long non-coding RNAs with accurate 5′ ends (513 citations)
  • An integrated expression atlas of miRNAs and their promoters in human and mouse. (211 citations)

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

  • Gene
  • DNA
  • Gene expression

His main research concerns Computational biology, Genetics, Gene, Genome and RNA. His Computational biology research includes themes of Human genome, Transcriptome, Fantom, Enhancer and Cell type. His work in Gene expression profiling, Regulation of gene expression, Gene silencing, microRNA and Transcriptional regulation are all subfields of Genetics research.

His Genome study focuses on Genomics in particular. Piero Carninci focuses mostly in the field of Genomics, narrowing it down to topics relating to Long non-coding RNA and, in certain cases, Forward genetics. His RNA study integrates concerns from other disciplines, such as Genomic library, Deep sequencing, Retrotransposon, Cell biology and Transcription.

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

Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Nature (2002)

7302 Citations

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó.
Nature (2007)

5251 Citations

The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression.

Thomas Derrien;Rory Johnson;Giovanni Bussotti;Andrea Tanzer.
Genome Research (2012)

3959 Citations

Landscape of transcription in human cells

Sarah Djebali;Carrie A. Davis;Angelika Merkel;Alex Dobin.
Nature (2012)

3723 Citations

An integrated encyclopedia of DNA elements in the human genome

Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins.
PMC (2012)

3535 Citations

The Transcriptional Landscape of the Mammalian Genome

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

3468 Citations

Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences.

Robert L Strausberg;Elise A Feingold;Lynette H Grouse;Jeffery G Derge.
Proceedings of the National Academy of Sciences of the United States of America (2002)

3228 Citations

Monitoring the expression profiles of 7000 Arabidopsis genes under drought, cold and high-salinity stresses using a full-length cDNA microarray.

Motoaki Seki;Mari Narusaka;Junko Ishida;Tokihiko Nanjo.
Plant Journal (2002)

2302 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

Antisense Transcription in the Mammalian Transcriptome

S. Katayama;Y. Tomaru;T. Kasukawa;K. Waki.
Science (2005)

1848 Citations

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