Daniel Segrè

Molecular Biology · 2005–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 53 citations into it; #4,167 of 17,773 by trust here, #7,980 by citations
• Genetics — 8 citations into it
• Biomedical Engineering — 6 citations into it; #2,381 of 10,734 by trust here, #6,932 by citations

Whom Daniel Segrè trusts overall

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

1. Stephen S. Fong
2. Bernhard O. Palsson
3. Adam M. Feist
4. Jeremy S. Edwards
5. C. Schilling
6. Scott A. Becker
7. Markus J. Herrgård
8. Jan Schellenberger

Who trusts Daniel Segrè overall

1. Oliver Mason
2. Jong Min Lee
3. J. Regard
4. Ali R. Zomorrodi
5. Nathan E. Lewis
6. Hyun‐Seob Song
7. Mark H. A. Verwoerd
8. Jason H. Moore
9. P. Phillips
10. Erwin P. Gianchandani

Papers from Daniel Segrè's perspective

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

1. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox (Nature Protocols)
2. From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
3. A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information (Molecular Systems Biology)
4. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 (Nature Protocols)
5. Metabolic gene–deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes (Nature Genetics)
6. A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology (Nature Biotechnology)
7. Advances in flux balance analysis. (Current Opinion in Biotechnology)
8. Flux balance analysis in the era of metabolomics (Briefings Bioinform.)
9. Analysis of optimality in natural and perturbed metabolic networks (Proceedings of the National Academy of Sciences of the United States of America)
10. Hierarchical Organization of Modularity in Metabolic Networks (Science)

Their papers

• Modular epistasis in yeast metabolism (2005) — 607 citations
• Environments that Induce Synthetic Microbial Ecosystems (2010) — 346 citations
• Diminishing returns epistasis among beneficial mutations decelerates adaptation (2011) — 512 citations
• Emergent simplicity in microbial community assembly (2017) — 936 citations