John H. Willis

Genetics · 2007–2011

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom John H. Willis trusts overall

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

  1. Yoav Benjamini
  2. Genome analysis
  3. William S. Cleveland
  4. Charles J. Geyer
  5. Loren H. Rieseberg

Who trusts John H. Willis overall

  1. D. Lowry
  2. R. Frankham
  3. W. S. Armbruster
  4. Sean M. Hoban
  5. Sarah P. Otto

Papers from John H. Willis's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
  3. Robust Locally Weighted Regression and Smoothing Scatterplots
  4. Smooth regression analysis
  5. Rapid micro-evolution and loss of chromosomal diversity in Drosophila in response to climate warming (Evolutionary Ecology)
  6. Genome-wide genetic association of complex traits in heterogeneous stock mice (Nature Genetics)
  7. Theoretical and practical advances in genome halving
  8. The Sequence Alignment/Map format and SAMtools (Bioinform.)
  9. Balancing Selection and Its Effects on Sequences in Nearby Genome Regions (PLoS Genetics)
  10. High-throughput genotyping by whole-genome resequencing. (Genome Research)

Their papers