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 44 Citations 26,035 85 World Ranking 4559 National Ranking 138

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Gene expression

Timo Lassmann focuses on Genetics, Regulation of gene expression, Gene, Human genome and Computational biology. His work in Transcription factor, Promoter, Genome, Genomics and Long non-coding RNA are all subfields of Genetics research. He has included themes like Gene expression, Gene regulatory network and Cellular differentiation in his Transcription factor study.

Timo Lassmann works mostly in the field of Regulation of gene expression, limiting it down to topics relating to Cap analysis gene expression and, in certain cases, Mammalian promoter database, as a part of the same area of interest. Timo Lassmann studies Gene, namely RNA. His Human genome research integrates issues from ENCODE and Gene expression profiling.

His most cited work include:

  • Landscape of transcription in human cells (3260 citations)
  • The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression. (3150 citations)
  • An integrated encyclopedia of DNA elements in the human genome (2642 citations)

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

Timo Lassmann focuses on Genetics, Computational biology, Gene, Cap analysis gene expression and Regulation of gene expression. His Genetics study focuses mostly on Promoter, Gene expression profiling, Transcription factor, Enhancer and Human genome. His studies deal with areas such as Gene regulatory network and Cell biology as well as Transcription factor.

Timo Lassmann has researched Computational biology in several fields, including RNA, Long non-coding RNA, Transcriptome and Genome, Genomics. His Cap analysis gene expression study combines topics from a wide range of disciplines, such as Epigenetics, DNA binding site and Transcriptional regulation. His Regulation of gene expression research focuses on subjects like Gene expression, which are linked to Cell type.

He most often published in these fields:

  • Genetics (46.38%)
  • Computational biology (48.55%)
  • Gene (35.51%)

What were the highlights of his more recent work (between 2018-2021)?

  • Computational biology (48.55%)
  • Exome sequencing (5.07%)
  • Genomics (16.67%)

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

His primary areas of investigation include Computational biology, Exome sequencing, Genomics, Transcriptome and Gene. His Computational biology research includes themes of Cancer, Gene expression profiling, RNA, Cap analysis gene expression and Biomarker discovery. His work is dedicated to discovering how Gene expression profiling, Genome are connected with Regulation of gene expression and other disciplines.

The various areas that Timo Lassmann examines in his Transcriptome study include Interferon, Rhinovirus, Cystic fibrosis, Enhancer and Promoter. Timo Lassmann is studying Gene expression, which is a component of Gene. His Transcriptional regulation study introduces a deeper knowledge of Genetics.

Between 2018 and 2021, his most popular works were:

  • Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows (57 citations)
  • Sensitization to immune checkpoint blockade through activation of a STAT1/NK axis in the tumor microenvironment (40 citations)
  • A Diagnosis for All Rare Genetic Diseases: The Horizon and the Next Frontiers (37 citations)

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

  • Gene
  • DNA
  • Gene expression

Timo Lassmann mostly deals with Gene, Enhancer, Transcriptome, Cell type and Computational biology. Many of his Gene research pursuits overlap with Sequence, Algorithm, Source code, Multiple sequence alignment and Construct. His Enhancer study incorporates themes from Polyadenylation, Sequence analysis, In situ hybridization and Gene expression profiling.

His Transcriptome research is under the purview of Genetics. His Cell type study integrates concerns from other disciplines, such as Nucleus, Epithelium, RNA-Seq and Gene expression. Timo Lassmann regularly links together related areas like RNA in his Computational biology studies.

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 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

Pfam: clans, web tools and services

Robert D. Finn;Jaina Mistry;Benjamin Schuster-Böckler;Sam Griffiths-Jones.
Nucleic Acids Research (2006)

2505 Citations

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 User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Richard M. Myers;John Stamatoyannopoulos;Michael Snyder;Ian Dunham.
PLOS Biology (2011)

1200 Citations

A promoter-level mammalian expression atlas

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

1134 Citations

Myogenic gene expression signature establishes that brown and white adipocytes originate from distinct cell lineages

James A. Timmons;James A. Timmons;James A. Timmons;Kristian Wennmalm;Ola Larsson;Tomas B. Walden;Tomas B. Walden.
Proceedings of the National Academy of Sciences of the United States of America (2007)

767 Citations

The regulated retrotransposon transcriptome of mammalian cells.

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

748 Citations

Kalign – an accurate and fast multiple sequence alignment algorithm

Timo Lassmann;Erik L. L. Sonnhammer.
BMC Bioinformatics (2005)

731 Citations

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