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 42 Citations 18,785 63 World Ranking 4882 National Ranking 317

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genome
  • DNA

Mario Stanke mainly investigates Genome, Genetics, Gene prediction, Gene and Markov chain. His work on Whole genome sequencing and Genetic Speciation as part of general Genome study is frequently linked to Anopheles, Aedes and Schistosoma, bridging the gap between disciplines. His study in the field of Genomics, Orthologous Gene and Odorant binding is also linked to topics like Anopheles gambiae and Arbovirus.

His Gene prediction research integrates issues from Expressed sequence tag and Computational biology. His Red flour beetle research extends to the thematically linked field of Gene. His work deals with themes such as Order, Hidden Markov model and Bioinformatics, which intersect with Markov chain.

His most cited work include:

  • The genome of the model beetle and pest Tribolium castaneum. (1039 citations)
  • Genome Sequence of the Pea Aphid Acyrthosiphon pisum (1033 citations)
  • Gene prediction with a hidden Markov model and a new intron submodel. (969 citations)

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

His main research concerns Genome, Genetics, Gene, Computational biology and Gene prediction. His Genome study integrates concerns from other disciplines, such as Annotation, DNA sequencing and Evolutionary biology. His work in Whole genome sequencing, Synteny, Odorant binding, Recombination and Proteome is related to Genetics.

His research in Computational biology intersects with topics in Clade, Phylogenetic tree, Human genome, Markov chain and Sequence analysis. He has researched Markov chain in several fields, including Intron and Artificial intelligence. His work in Gene prediction tackles topics such as Hidden Markov model which are related to areas like Sequence.

He most often published in these fields:

  • Genome (73.03%)
  • Genetics (50.56%)
  • Gene (46.07%)

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

  • Genome (73.03%)
  • Gene (46.07%)
  • Computational biology (34.83%)

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

Mario Stanke mainly focuses on Genome, Gene, Computational biology, Genome project and Gene prediction. In the subject of general Genome, his work in Comparative genomics is often linked to Task, thereby combining diverse domains of study. Gene is the subject of his research, which falls under Genetics.

His research investigates the connection between Computational biology and topics such as Sequence assembly that intersect with problems in Genome editing and Gene Annotation. His work carried out in the field of Genome project brings together such families of science as RNA-Seq and DNA sequencing. His research integrates issues of Annotation and Eukaryotic genome in his study of Gene prediction.

Between 2018 and 2021, his most popular works were:

  • Whole-Genome Annotation with BRAKER. (119 citations)
  • Enhanced genome assembly and a new official gene set for Tribolium castaneum (21 citations)
  • BRAKER2: Automatic Eukaryotic Genome Annotation with GeneMark-EP+ and AUGUSTUS Supported by a Protein Database (11 citations)

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 genome of the model beetle and pest Tribolium castaneum.

Stephen Richards;Richard A. Gibbs;George M. Weinstock;Susan J. Brown.
Nature (2008)

1645 Citations

Genome Sequence of the Pea Aphid Acyrthosiphon pisum

Stephen Richards;Richard A. Gibbs;Nicole M. Gerardo;Nancy Moran.
PLOS Biology (2010)

1620 Citations

Gene prediction with a hidden Markov model and a new intron submodel.

Mario Stanke;Stephan Waack.
european conference on computational biology (2003)

1187 Citations

Genome sequence of Aedes aegypti, a major arbovirus vector

Vishvanath Nene;Jennifer R. Wortman;Daniel Lawson;Brian Haas.
Science (2007)

1181 Citations

The genome of the blood fluke Schistosoma mansoni

Matthew Berriman;Brian J. Haas;Brian J. Haas;Philip T. LoVerde;R. Alan Wilson.
Nature (2009)

1096 Citations

AUGUSTUS: ab initio prediction of alternative transcripts

Mario Stanke;Oliver Keller;Irfan Gunduz;Alec Hayes.
Nucleic Acids Research (2006)

981 Citations

The Amphimedon queenslandica genome and the evolution of animal complexity

Mansi Srivastava;Oleg Simakov;Oleg Simakov;Jarrod Chapman;Bryony Fahey.
Nature (2010)

960 Citations

Using native and syntenically mapped cDNA alignments to improve de novo gene finding

Mario Stanke;Mark Diekhans;Robert Baertsch;David Haussler.
Bioinformatics (2008)

958 Citations

AUGUSTUS: a web server for gene prediction in eukaryotes that allows user-defined constraints.

Mario Stanke;Burkhard Morgenstern.
Nucleic Acids Research (2005)

868 Citations

AUGUSTUS: a web server for gene finding in eukaryotes

Mario Stanke;Rasmus Steinkamp;Stephan Waack;Burkhard Morgenstern.
Nucleic Acids Research (2004)

862 Citations

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