Dirk Gevers

Molecular Biology · 2001–2018

A researcher in the Science corpus: 34 papers; trusts 45 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Dirk Gevers trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Patrick D. Schloss
  2. Peter J. Turnbaugh
  3. Qiong Wang
  4. Rob Knight
  5. Susan M. Huse
  6. Todd Z. DeSantis
  7. Micah Hamady
  8. Christopher Quince
  9. Nicola Segata
  10. Philip Hugenholtz

Who trusts Dirk Gevers overall

  1. Nicola Segata
  2. Erik S. Wright
  3. Robert C. Edgar
  4. Agapi I. Doulgeraki
  5. K. Matsuoka
  6. James J Kozich
  7. Jonathan Friedman
  8. Michael Richter
  9. Karoline Faust
  10. Nicholas A. Bokulich

Papers from Dirk Gevers's perspective

Ordered by how strongly the researchers Dirk Gevers trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Microbial diversity in the deep sea and the underexplored “rare biosphere” (Proceedings of the National Academy of Sciences of the United States of America)
  2. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
  3. Wrinkles in the rare biosphere: pyrosequencing errors can lead to artificial inflation of diversity estimates. (Environmental Microbiology)
  4. At Least 1 in 20 16S rRNA Sequence Records Currently Held in Public Repositories Is Estimated To Contain Substantial Anomalies (Applied and Environmental Microbiology)
  5. ARB: a software environment for sequence data. (Nucleic Acids Research)
  6. NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes (Nucleic Acids Res.)
  7. Short pyrosequencing reads suffice for accurate microbial community analysis (Nucleic Acids Research)
  8. Microbial Population Structures in the Deep Marine Biosphere (Science)
  9. An obesity-associated gut microbiome with increased capacity for energy harvest (Nature)
  10. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)

Their papers