Curtis Huttenhower

Molecular Biology · 2011–2023

A researcher in the Science corpus: 63 papers; trusts 110 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Curtis Huttenhower trusts overall

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

  1. Nicola Segata
  2. Catherine A. Lozupone
  3. Patrick D. Schloss
  4. Peter J. Turnbaugh
  5. Philip Hugenholtz
  6. Micah Hamady
  7. Ruth E. Ley
  8. Jo Handelsman
  9. Rob Knight
  10. Les Dethlefsen

Who trusts Curtis Huttenhower overall

  1. Edoardo Pasolli
  2. Nicola Segata
  3. Eric A. Franzosa
  4. James Kaminski
  5. F. Asnicar
  6. Paul J. McMurdie
  7. Duy Tin Truong
  8. Derrick E. Wood
  9. M. Lynch
  10. Yong-xin Liu

Papers from Curtis Huttenhower's perspective

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

  1. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  2. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
  3. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  4. Comparative Metagenomics of Microbial Communities (Science)
  5. Microbial diversity in the deep sea and the underexplored “rare biosphere” (Proceedings of the National Academy of Sciences of the United States of America)
  6. Comparative Metagenomics Revealed Commonly Enriched Gene Sets in Human Gut Microbiomes (DNA Research)
  7. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  8. Ecological and evolutionary forces shaping microbial diversity in the human intestine. (Cell)
  9. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
  10. The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes

Their papers