H-Index & Metrics Best Publications
Frank Oliver Glöckner

Frank Oliver Glöckner

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 82 Citations 53,764 217 World Ranking 1589 National Ranking 117

Overview

What is he best known for?

The fields of study he is best known for:

  • Bacteria
  • Gene
  • Genome

His primary areas of study are Genetics, Bacterioplankton, Ribosomal RNA, Ecology and Phylogenetic tree. While the research belongs to areas of Genetics, Frank Oliver Glöckner spends his time largely on the problem of Computational biology, intersecting his research to questions surrounding Sequence and DNA microarray. His research integrates issues of Web resource, mothur and Database in his study of Ribosomal RNA.

Frank Oliver Glöckner has researched Ecology in several fields, including Phylum and Bacteroidetes. His Phylogenetic tree study combines topics from a wide range of disciplines, such as Phylogenetics and Bacterial genome size. His Phylogenetics study deals with Taxonomy intersecting with Evolutionary biology.

His most cited work include:

  • The SILVA ribosomal RNA gene database project: improved data processing and web-based tools (9359 citations)
  • SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (4376 citations)
  • Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies (3329 citations)

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

His primary areas of investigation include Genome, Ecology, Genetics, Metagenomics and Gene. His research in Genome intersects with topics in Planctomycetes, Computational biology and Evolutionary biology. Frank Oliver Glöckner interconnects Phylum and Bacterioplankton in the investigation of issues within Ecology.

His Metagenomics research incorporates themes from Biodiversity, Biotechnology, Data science and In silico. His research on Phylogenetics frequently links to adjacent areas such as Ribosomal RNA. He works mostly in the field of Ribosomal RNA, limiting it down to topics relating to 16S ribosomal RNA and, in certain cases, Sequence analysis.

He most often published in these fields:

  • Genome (37.28%)
  • Ecology (37.98%)
  • Genetics (30.66%)

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

  • Ecology (37.98%)
  • Computational biology (25.78%)
  • Metagenomics (28.92%)

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

Frank Oliver Glöckner spends much of his time researching Ecology, Computational biology, Metagenomics, Biodiversity and Genome. The various areas that Frank Oliver Glöckner examines in his Ecology study include Microorganism and Marine bacteriophage. His Computational biology research is multidisciplinary, incorporating elements of Interactive visualization, Function, The Internet, Web navigation and Web application.

His Metagenomics research is multidisciplinary, incorporating perspectives in Phylum, Microbial ecology, Primer, In silico and Oligonucleotide. Gene and Genetics are the main topics of his Genome study. His Data science study integrates concerns from other disciplines, such as Taxon, Phylogenetics and Phylogenetic tree.

Between 2016 and 2021, his most popular works were:

  • The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications. (550 citations)
  • 25 years of serving the community with ribosomal RNA gene reference databases and tools. (217 citations)
  • 25 years of serving the community with ribosomal RNA gene reference databases and tools. (217 citations)

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

  • Bacteria
  • Gene
  • DNA

The scientist’s investigation covers issues in Phylogenetics, Ecology, Metagenomics, Biodiversity and 18S ribosomal RNA. His Phylogenetics research incorporates elements of Ribosomal RNA, Database and Phylogenetic tree. His work deals with themes such as Evolutionary biology, Zoology and Taxon, which intersect with Phylogenetic tree.

His study in Ecology is interdisciplinary in nature, drawing from both Microorganism, Pelagibacter ubique, Alphaproteobacteria and Marine bacteriophage. His Metagenomics study incorporates themes from Genome, Illumina dye sequencing, Archaea, Primer and Oligonucleotide. His Archaea study improves the overall literature in Genetics.

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 SILVA ribosomal RNA gene database project: improved data processing and web-based tools

Christian Quast;Elmar Pruesse;Pelin Yilmaz;Jan Gerken.
Nucleic Acids Research (2012)

11240 Citations

SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB

Elmar Pruesse;Christian Quast;Katrin Knittel;Bernhard M. Fuchs.
Nucleic Acids Research (2007)

5384 Citations

Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies

Anna Klindworth;Elmar Pruesse;Timmy Schweer;Jörg Peplies.
Nucleic Acids Research (2013)

4181 Citations

SINA: accurate high throughput multiple sequence alignment of ribosomal RNA genes

Elmar Pruesse;Jörg Peplies;Frank Oliver Glöckner.
Bioinformatics (2012)

2239 Citations

46. ARB: A Software Environment for Sequence Data

Ralf Westram;Kai Bader;Elmar Prüsse;Yadhu Kumar.
Handbook of Molecular Microbial Ecology I: Metagenomics and Complementary Approaches (2011)

1556 Citations

Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences

Pablo Yarza;Pelin Yilmaz;Elmar Pruesse;Frank Oliver Glöckner.
Nature Reviews Microbiology (2014)

1392 Citations

The SILVA and "All-species Living Tree Project (LTP)" taxonomic frameworks.

Pelin Yilmaz;Laura Wegener Parfrey;Pablo Yarza;Jan Gerken.
Nucleic Acids Research (2014)

1290 Citations

The minimum information about a genome sequence (MIGS) specification.

Dawn Field;George Garrity;Tanya Gray;Norman Morrison.
Nature Biotechnology (2008)

1204 Citations

JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison

Michael Richter;Ramon Rosselló-Móra;Frank Oliver Glöckner;Frank Oliver Glöckner;Jörg Peplies.
Bioinformatics (2016)

1032 Citations

Bacterioplankton compositions of lakes and oceans: a first comparison based on fluorescence in situ hybridization.

Frank Oliver Glöckner;Bernhard M. Fuchs;Rudolf I. Amann.
Applied and Environmental Microbiology (1999)

948 Citations

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