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
Biology and Biochemistry D-index 41 Citations 13,156 87 World Ranking 16019 National Ranking 247

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Gene expression

The scientist’s investigation covers issues in Genetics, Regulation of gene expression, Transcription factor, Gene and RNA. His work on Genetics deals in particular with Promoter, Small nucleolar RNA and Untranslated region. His Regulation of gene expression research integrates issues from Genome and Cap analysis gene expression.

His Transcription factor research includes elements of Computational biology, Cellular differentiation and Gene regulatory network. His Computational biology research focuses on Gene expression and how it connects with Cell fate determination and Protein–protein interaction. His primary area of study in Gene is in the field of Human genome.

His most cited work include:

  • An atlas of active enhancers across human cell types and tissues (1577 citations)
  • A promoter-level mammalian expression atlas (1307 citations)
  • An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man (601 citations)

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

His main research concerns Genetics, Gene, Computational biology, Transcription factor and Regulation of gene expression. His work deals with themes such as Obesity and Insulin, which intersect with Gene. His Computational biology research includes themes of Chromatin, Cell type and Deep sequencing.

Carsten O. Daub interconnects Gene expression, Gene regulatory network, Cellular differentiation, Bioinformatics and Cell biology in the investigation of issues within Transcription factor. His Regulation of gene expression research is multidisciplinary, relying on both Chromatin immunoprecipitation and Cell fate determination. His Promoter research incorporates elements of Enhancer and Transcription.

He most often published in these fields:

  • Genetics (49.06%)
  • Gene (36.79%)
  • Computational biology (32.08%)

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

  • Gene (36.79%)
  • Computational biology (32.08%)
  • Transcription factor (32.08%)

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

Carsten O. Daub mainly focuses on Gene, Computational biology, Transcription factor, Cap analysis gene expression and Genetics. In general Gene study, his work on Human genome often relates to the realm of Type 2 diabetes, thereby connecting several areas of interest. His work is dedicated to discovering how Transcription factor, Cell biology are connected with FOSB and other disciplines.

The study incorporates disciplines such as Regulation of gene expression and Cellular differentiation in addition to Cap analysis gene expression. His Genomics, Transcriptional regulation, Gene expression profiling and Transcription factor complex study in the realm of Genetics interacts with subjects such as Genome-wide association study. In Promoter, he works on issues like Transcription, which are connected to Genome.

Between 2015 and 2021, his most popular works were:

  • 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)
  • A predictive computational framework for direct reprogramming between human cell types. (170 citations)

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

  • Gene
  • DNA
  • Gene expression

Carsten O. Daub mainly investigates Cap analysis gene expression, Regulation of gene expression, Gene expression, Computational biology and Transcription factor. A component of his Cap analysis gene expression study involves Gene, Promoter and Genetics. His Enhancer research extends to the thematically linked field of Regulation of gene expression.

His Gene expression study combines topics from a wide range of disciplines, such as Endocrinology, Obesity, Insulin and Case-control study. The Computational biology study combines topics in areas such as Regenerative medicine, Bioinformatics, Cell type, Reprogramming and Transdifferentiation. His Transcription factor research incorporates themes from Cell, Human cell and Adipose tissue, Internal medicine, White adipose tissue.

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

An atlas of active enhancers across human cell types and tissues

Robin Andersson;Claudia Gebhard;Irene Miguel-Escalada;Ilka Hoof.
Nature (2014)

1829 Citations

A promoter-level mammalian expression atlas

Alistair R.R. Forrest;Hideya Kawaji;Michael Rehli;J. Kenneth Baillie.
Nature (2014)

1134 Citations

An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama.
Cell (2010)

769 Citations

The mutual information: detecting and evaluating dependencies between variables.

Ralph E. Steuer;Jürgen Kurths;Carsten O. Daub;Janko Weise.
european conference on computational biology (2002)

764 Citations

The regulated retrotransposon transcriptome of mammalian cells.

Geoffrey J Faulkner;Yasumasa Kimura;Carsten O Daub;Shivangi Wani.
Nature Genetics (2009)

748 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

The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

Harukazu Suzuki;Alistair R.R. Forrest;Erik Van Nimwegen;Carsten O. Daub.
Nature Genetics (2009)

469 Citations

Tiny RNAs associated with transcription start sites in animals.

Ryan J Taft;Evgeny A Glazov;Nicole Cloonan;Cas Simons.
Nature Genetics (2009)

404 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

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