Jeffrey D. Orth

Molecular Biology · 2007–2011

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey D. Orth trusts overall

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

  1. Bernhard O. Palsson
  2. Adam M. Feist
  3. Ines Thiele
  4. Jennie L. Reed
  5. Christopher S. Henry
  6. Scott A. Becker
  7. Minoru Kanehisa
  8. Jeremy S. Edwards
  9. C. Schilling
  10. T. Baba

Who trusts Jeffrey D. Orth overall

  1. Bernhard O. Palsson
  2. Ali Ebrahim
  3. D. McCloskey
  4. Nathan E. Lewis
  5. Zachary A. King
  6. Daniel Machado
  7. Aarash Bordbar
  8. Joshua A. Lerman
  9. Hyun‐Seob Song
  10. Jonathan M. Monk

Papers from Jeffrey D. Orth's perspective

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

  1. An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
  2. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection (Molecular Systems Biology)
  3. The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli (Nature Biotechnology)
  4. A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information (Molecular Systems Biology)
  5. The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities. (Proceedings of the National Academy of Sciences of the United States of America)
  6. KEGG for representation and analysis of molecular networks involving diseases and drugs (Nucleic Acids Res.)
  7. Escherichia coli K-12: a cooperatively developed annotation snapshot—2005 (Nucleic Acids Research)
  8. Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model. (Genome Research)
  9. EcoCyc: A comprehensive view of Escherichia coli biology (Nucleic Acids Res.)
  10. Genome-scale models of microbial cells: evaluating the consequences of constraints (Nature Reviews Microbiology)

Their papers