G. Saunders

Molecular Biology · with McDevit · 2001–2013

A researcher in the Science corpus: 15 papers; trusts 28 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom G. Saunders trusts overall

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

  1. Paul D. N. Hebert
  2. John P. Huelsenbeck
  3. A. Sherwood
  4. J. Harper
  5. Gernot G. Presting
  6. Jeffery R. Hughey
  7. Fredrik Ronquist
  8. Michael P. Cummings
  9. B. Clarkston
  10. C. Lane

Who trusts G. Saunders overall

  1. B. Clarkston
  2. H. Kucera
  3. Line le Gall
  4. D. McDevit
  5. S. Lindstrom
  6. Kimberly Y. Conklin
  7. R. Trobajo
  8. V. Ravi
  9. J. Zimmermann
  10. A. Radulovici

Papers from G. Saunders's perspective

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

  1. MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
  2. PAUP* Phylogenetic analysis using parsimony (*and other methods) Version 4
  3. Applying DNA barcoding to red macroalgae: a preliminary appraisal holds promise for future applications (Philosophical Transactions of the Royal Society B: Biological Sciences)
  4. SOLVING TAXONOMIC AND NOMENCLATURAL PROBLEMS IN PACIFIC GIGARTINACEAE (RHODOPHYTA) USING DNA FROM TYPE MATERIAL
  5. DNA BARCODING IS A POWERFUL TOOL TO UNCOVER ALGAL DIVERSITY: A CASE STUDY OF THE PHYLLOPHORACEAE (GIGARTINALES, RHODOPHYTA) IN THE CANADIAN FLORA 1
  6. The promise of a DNA taxonomy. (Philosophical transactions of the Royal Society of London. Series B, Biological sciences)
  7. Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator. (Proceedings of the National Academy of Sciences of the United States of America)
  8. UNIVERSAL PRIMERS AMPLIFY A 23S rDNA PLASTID MARKER IN EUKARYOTIC ALGAE AND CYANOBACTERIA 1
  9. Identification of conserved regions in the plastid genome: implications for DNA barcoding and biological function
  10. An inexpensive, automation-friendly protocol for recovering high-quality DNA

Their papers