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
Computer Science D-index 45 Citations 8,522 187 World Ranking 4597 National Ranking 208

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genome
  • Algorithm

Algorithm, Computational biology, Genetics, Genomics and Metagenomics are his primary areas of study. His Algorithm research includes themes of Tandem repeat, Theoretical computer science and Multiple sequence alignment, Sequence alignment. His studies in Theoretical computer science integrate themes in fields like String and Suffix tree.

His Computational biology research is multidisciplinary, incorporating elements of Genome, Noncoding DNA, DNA microarray, Sequence and Sequence analysis. His Genome study frequently involves adjacent topics like Interactive visualization. The study incorporates disciplines such as Pyrosequencing and Data science in addition to Metagenomics.

His most cited work include:

  • REPuter: the manifold applications of repeat analysis on a genomic scale. (944 citations)
  • A unifying view of genome rearrangements (251 citations)
  • Phylogenetic classification of short environmental DNA fragments (243 citations)

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

His primary scientific interests are in Genome, Computational biology, Algorithm, Genetics and Combinatorics. His Genome research incorporates themes from Gene cluster, Theoretical computer science and Set. Jens Stoye works mostly in the field of Computational biology, limiting it down to concerns involving Phylogenetic tree and, occasionally, Evolutionary biology and Contig.

His study in Algorithm is interdisciplinary in nature, drawing from both Simple and Multiple sequence alignment. His Multiple sequence alignment research includes elements of Divide and conquer algorithms, Alignment-free sequence analysis and Data mining. As part of one scientific family, Jens Stoye deals mainly with the area of Combinatorics, narrowing it down to issues related to the String, and often Tandem repeat.

He most often published in these fields:

  • Genome (35.81%)
  • Computational biology (25.76%)
  • Algorithm (23.58%)

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

  • Genome (35.81%)
  • Computational biology (25.76%)
  • Gene (15.28%)

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

His primary areas of study are Genome, Computational biology, Gene, Comparative genomics and Algorithm. Jens Stoye has included themes like Similarity, Theoretical computer science and Phylogenetic tree in his Genome study. His biological study spans a wide range of topics, including Time complexity, Class, Probabilistic logic, Random graph and De Bruijn graph.

The concepts of his Computational biology study are interwoven with issues in Genome project, Genomic organization, Proteomics, DNA microarray and Gene cluster. To a larger extent, Jens Stoye studies Genetics with the aim of understanding Gene. His Algorithm study combines topics from a wide range of disciplines, such as Set, Selection, Simple, Pairwise comparison and Scale.

Between 2015 and 2021, his most popular works were:

  • Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment. (226 citations)
  • Bloom Filter Trie: an alignment-free and reference-free data structure for pan-genome storage (56 citations)
  • Bioinformatics for NGS-based metagenomics and the application to biogas research (32 citations)

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

  • Gene
  • Genome
  • DNA

Jens Stoye spends much of his time researching Genome, Gene, Comparative genomics, Set and Computational biology. His Genome research integrates issues from Time complexity, Join, Combinatorics and String. His Gene study contributes to a more complete understanding of Genetics.

His Set research includes elements of Graphical user interface, Algorithm and Data set. His research integrates issues of Simple and Natural selection, Selection in his study of Algorithm. His work deals with themes such as Similarity, Biomedicine and Phylogenetic tree, which intersect with Computational biology.

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

REPuter: the manifold applications of repeat analysis on a genomic scale.

Stefan Kurtz;Jomuna V. Choudhuri;Enno Ohlebusch;Chris Schleiermacher.
Nucleic Acids Research (2001)

1477 Citations

Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment.

Jonas Schulte-Schrepping;Nico Reusch;Daniela Paclik;Kevin Baßler.
Cell (2020)

793 Citations

Updating benchtop sequencing performance comparison

Sebastian Jünemann;Sebastian Jünemann;Fritz Joachim Sedlazeck;Karola Prior;Andreas Albersmeier.
Nature Biotechnology (2013)

375 Citations

Phylogenetic classification of short environmental DNA fragments

Lutz Krause;Naryttza N. Diaz;Alexander Goesmann;Scott Kelley.
Nucleic Acids Research (2008)

347 Citations

Rose: generating sequence families.

Jens Stoye;Dirk Evers;Folker Meyer.
Bioinformatics (1998)

336 Citations

A unifying view of genome rearrangements

Anne Bergeron;Julia Mixtacki;Jens Stoye.
workshop on algorithms in bioinformatics (2006)

331 Citations

Taxonomic composition and gene content of a methane-producing microbial community isolated from a biogas reactor

Lutz Krause;Naryttza N. Diaz;Robert A. Edwards;Robert A. Edwards;Karl Heinz Gartemann.
Journal of Biotechnology (2008)

269 Citations

Based Upon Repeat Pattern (BURP): an algorithm to characterize the long-term evolution of Staphylococcus aureus populations based on spa polymorphisms

Alexander Mellmann;Thomas Weniger;Christoph Berssenbrügge;Jörg Rothgänger.
BMC Microbiology (2007)

250 Citations

DCA: An efficient implementation of the divide-and-conquer approach to simultaneous multiple sequence alignment

Jens Stoye;Vincent Moulton;Andreas W.M. Dress.
Bioinformatics (1997)

172 Citations

Benchmarking tools for the alignment of functional noncoding DNA

Daniel A Pollard;Casey M Bergman;Casey M Bergman;Jens Stoye;Susan E Celniker.
BMC Bioinformatics (2004)

167 Citations

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