Marc Robinson-Rechavi

Molecular Biology · 2000–2019

A researcher in the Science corpus: 10 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Robinson-Rechavi trusts overall

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

  1. Stéphane Guindon
  2. Sandeep Kumar
  3. Olivier Gascuel
  4. Chung-Jung Tsai
  5. Reinhard Sterner
  6. Linn Fagerberg
  7. Fran Supek
  8. Jonathan Schug
  9. Ruth Nussinov
  10. András Szilágyi

Who trusts Marc Robinson-Rechavi overall

  1. Pascal Benkert
  2. C. de Vargas
  3. A. Bannikova
  4. Marco Biasini
  5. M. Bonzon
  6. Torsten Schwede
  7. V. Lebedev
  8. Yukuto Sato
  9. S. Koblmüller

Papers from Marc Robinson-Rechavi's perspective

Ordered by how strongly the researchers Marc Robinson-Rechavi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gene Ontology: tool for the unification of biology
  2. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
  3. An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data (PLoS Comput. Biol.)
  4. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration (Nature Biotechnology)
  5. Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics*
  6. ArrayExpress—a public database of microarray experiments and gene expression profiles (Nucleic Acids Res.)
  7. Gene Ontology Consortium: The Gene Ontology (GO) database and informatics resource (Nucleic Acids Res.)
  8. Rapid Subfunctionalization Accompanied by Prolonged and Substantial Neofunctionalization in Duplicate Gene Evolution (Genetics)
  9. The Zebrafish Information Network: the zebrafish model organism database (Nucleic Acids Res.)
  10. Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification (Bioinform.)

Their papers