Steven Maere

Molecular Biology · 2005–2009

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Maere trusts overall

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

  1. Gary D. Bader
  2. Sarah P. Otto
  3. Michael J. Sanderson
  4. Guillaume Le Blanc
  5. Paul T. Shannon
  6. Kenneth H. Wolfe
  7. Christopher W. V. Hogue
  8. Andreas Ruepp
  9. N. Wikström
  10. John E. Bowers

Who trusts Steven Maere overall

  1. Fran Supek
  2. Leif Väremo
  3. Henrik Kaessmann
  4. J. H. Morris
  5. Daniele Merico
  6. Jun Adachi
  7. Y. Van de Peer
  8. Nives Skunca
  9. Tara Eicher
  10. Christina Backes

Papers from Steven Maere's perspective

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

  1. Gene Ontology: tool for the unification of biology
  2. The HUPO PSI's Molecular Interaction format—a community standard for the representation of protein interaction data (Nature Biotechnology)
  3. Evolution of the angiosperms: calibrating the family tree (Proceedings of the Royal Society of London. Series B: Biological Sciences)
  4. Synteny and Collinearity in Plant Genomes (Science)
  5. Estimating absolute rates of molecular evolution and divergence times: a penalized likelihood approach. (Molecular biology and evolution)
  6. An automated method for finding molecular complexes in large protein interaction networks (BMC Bioinformatics)
  7. Two Rounds of Whole Genome Duplication in the Ancestral Vertebrate (PLoS Biology)
  8. Ancient polyploidization predating divergence of the cereals, and its consequences for comparative genomics. (Proceedings of the National Academy of Sciences of the United States of America)
  9. Global trends of whole-genome duplications revealed by the ciliate Paramecium tetraurelia (Nature)
  10. Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Their papers