H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Genetics and Molecular Biology D-index 90 Citations 55,718 375 World Ranking 626 National Ranking 32

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genome

His primary areas of investigation include Genetics, RNA, Genome, Computational biology and Gene. In his research, Vertebrate is intimately related to Evolutionary biology, which falls under the overarching field of Genetics. His research investigates the connection between RNA and topics such as Base pair that intersect with problems in Theoretical computer science, Dynamic programming and Statistical physics.

His Genome research incorporates elements of Gene duplication, Phylogenetics and Phylogenetic tree. His work in Computational biology covers topics such as ENCODE which are related to areas like GENCODE. His GENCODE study combines topics from a wide range of disciplines, such as DNase-Seq and Functional genomics.

His most cited work include:

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)

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

Genetics, Computational biology, RNA, Genome and Gene are his primary areas of study. His Evolutionary biology research extends to the thematically linked field of Genetics. His research integrates issues of Annotation, Human genome and Sequence in his study of Computational biology.

His RNA study incorporates themes from Base pair and Protein secondary structure. In his study, which falls under the umbrella issue of Genome, Phylogenetic tree is strongly linked to Phylogenetics. Transcriptome is the focus of his Gene research.

He most often published in these fields:

  • Genetics (36.38%)
  • Computational biology (26.32%)
  • RNA (25.67%)

What were the highlights of his more recent work (between 2016-2021)?

  • Computational biology (26.32%)
  • Genome (20.96%)
  • Gene (17.08%)

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

Peter F. Stadler mainly focuses on Computational biology, Genome, Gene, Combinatorics and RNA. The study incorporates disciplines such as Non-coding RNA, RNA splicing, Nucleic acid secondary structure, Exon and Transfer RNA in addition to Computational biology. His Genome research is mostly focused on the topic Genomics.

His Gene study necessitates a more in-depth grasp of Genetics. His Combinatorics study combines topics in areas such as Set, Binary relation and Phylogenetic tree. His study in Nucleic acid structure and Riboswitch is done as part of RNA.

Between 2016 and 2021, his most popular works were:

  • Pan-cancer analysis of whole genomes (538 citations)
  • The landscape of genomic alterations across childhood cancers (449 citations)
  • Ecological plant epigenetics: Evidence from model and non-model species, and the way forward (141 citations)

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

  • Gene
  • DNA
  • Genome

Peter F. Stadler mainly investigates Computational biology, Genome, Gene, RNA and Evolutionary biology. His studies deal with areas such as Non-coding RNA, Nucleic acid, Selection, Nucleic acid secondary structure and Transfer RNA as well as Computational biology. His Genome study integrates concerns from other disciplines, such as Phylogenetics, Database and Protein family.

Gene is a subfield of Genetics that Peter F. Stadler studies. Peter F. Stadler studies Genetics, namely Germline. He combines subjects such as DNA microarray, Sequence analysis and Bioinformatics with his study of RNA.

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

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

ViennaRNA Package 2.0

Ronny Lorenz;Stephan H. F. Bernhart;Christian Höner zu Siederdissen;Hakim Tafer.
Algorithms for Molecular Biology (2011)

2843 Citations

Fast folding and comparison of RNA secondary structures

I. L. Hofacker;W. Fontana;P. F. Stadler;P. F. Stadler;L. S. Bonhoeffer.
Monatshefte Fur Chemie (1994)

2701 Citations

RNA Maps Reveal New RNA Classes and a Possible Function for Pervasive Transcription

Philipp Kapranov;Jill Cheng;Sujit Dike;David A. Nix.
Science (2007)

2439 Citations

MITOS: Improved de novo metazoan mitochondrial genome annotation

Matthias Bernt;Alexander Donath;Frank Jühling;Frank Jühling;Fabian Externbrink.
Molecular Phylogenetics and Evolution (2013)

2214 Citations

Analyses of pig genomes provide insight into porcine demography and evolution

Martien A. M. Groenen;Alan L. Archibald;Hirohide Uenishi;Christopher K. Tuggle.
Nature (2012)

1161 Citations

The primary transcriptome of the major human pathogen Helicobacter pylori

Cynthia M. Sharma;Steve Hoffmann;Fabien Darfeuille;Fabien Darfeuille;Jérémy Reignier;Jérémy Reignier.
Nature (2010)

1138 Citations

From Sequences to Shapes and Back: A Case Study in RNA Secondary Structures

Peter Schuster;Walter Fontana;Peter F. Stadler;Ivo L. Hofacker.
Proceedings of The Royal Society B: Biological Sciences (1994)

981 Citations

Fast and reliable prediction of noncoding RNAs

Stefan Washietl;Ivo L. Hofacker;Peter F. Stadler.
Proceedings of the National Academy of Sciences of the United States of America (2005)

814 Citations

Fast Folding and Comparison of RNA Secondary Structures

Ivo L. Hofacker;Walter Fontana;Peter F. Stadler;L. Sebastian Bonhoeffer.
Research Papers in Economics (1993)

812 Citations

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