Lloyd W. Sumner

Molecular Biology · 2003–2021

A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lloyd W. Sumner trusts overall

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

  1. Oliver Fiehn
  2. John R. Koza
  3. David E. Goldberg
  4. Ute Roessner
  5. Bas Teusink
  6. Susumu Goto
  7. Bernhard O. Palsson
  8. Joachim Kopka
  9. Teuvo Kohonen
  10. Yasushi Okuno

Who trusts Lloyd W. Sumner overall

  1. Vladimir Shulaev
  2. Kazuki Saito
  3. Felicity Allen
  4. Katja Morgenthal
  5. H. K. Kim
  6. Oliver Fiehn
  7. Warwick B. Dunn
  8. Fumio Matsuda
  9. Kerstin Scheubert
  10. Royston Goodacre

Papers from Lloyd W. Sumner's perspective

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

  1. A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations (Nature Biotechnology)
  2. Potential of metabolomics as a functional genomics tool. (Trends in Plant Science)
  3. MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes. (The Plant Journal)
  4. The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community (Nucleic Acids Res.)
  5. Integrating 'omic' information: a bridge between genomics and systems biology. (Trends in Genetics)
  6. AraCyc: A Biochemical Pathway Database for Arabidopsis1 (Plant Physiology)
  7. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
  8. Database resources of the National Center for Biotechnology Information: update
  9. Genetics and biochemistry of secondary metabolites in plants: an evolutionary perspective. (Trends in Plant Science)
  10. Empirical Analysis of Transcriptional Activity in the Arabidopsis Genome (Science)

Their papers