P. Brookes

Ecology · 2001–2019

A researcher in the Science corpus: 18 papers; trusts 10 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom P. Brookes trusts overall

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

  1. E. Bååth
  2. Noah Fierer
  3. J. Rousk
  4. Catherine A. Lozupone
  5. C. Lauber
  6. Micah Hamady
  7. Rob Knight
  8. M. Strickland
  9. R. B. Jackson

Who trusts P. Brookes overall

  1. J. Rousk
  2. E. Blagodatskaya
  3. S. Kivlin
  4. Y. Kuzyakov
  5. C. Thoms
  6. E. Bååth
  7. Lin Chen
  8. C. Cleveland
  9. N. Fanin
  10. Xiaomin Zhu

Papers from P. Brookes's perspective

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

  1. Toward an ecological classification of soil bacteria. (Ecology)
  2. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
  3. FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix (Molecular biology and evolution)
  4. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  5. The influence of sex, handedness, and washing on the diversity of hand surface bacteria (Proceedings of the National Academy of Sciences of the United States of America)
  6. UniFrac – An online tool for comparing microbial community diversity in a phylogenetic context (BMC Bioinformatics)
  7. Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex (Nature Methods)
  8. Fast UniFrac: Facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data (The ISME Journal)
  9. The diversity and biogeography of soil bacterial communities. (Proceedings of the National Academy of Sciences of the United States of America)
  10. Assessment of Soil Microbial Community Structure by Use of Taxon-Specific Quantitative PCR Assays (Applied and Environmental Microbiology)

Their papers