Zachary A. King

Molecular Biology · 2014–2020

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 119 citations into it; #15,253 of 17,773 by trust here, #9,270 by citations
• Biomedical Engineering — 20 citations into it

Whom Zachary A. King trusts overall

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

1. Bernhard O. Palsson
2. Ali Ebrahim
3. Aarash Bordbar
4. Jan Schellenberger
5. Jeffrey D. Orth
6. Akira Funahashi
7. Hiroaki Kitano
8. Nathan E. Lewis
9. Ines Thiele
10. Joshua A. Lerman

Who trusts Zachary A. King overall

1. Peter W. Rose
2. Daniel Machado
3. Weijun Luo
4. F. Pinu
5. Claudia Bank
6. Andreas Dräger
7. Andreas Prlic

Papers from Zachary A. King's perspective

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

1. BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
2. An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
3. A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information (Molecular Systems Biology)
4. CellDesigner 3.5: A Versatile Modeling Tool for Biochemical Networks (Proceedings of the IEEE)
5. Towards multidimensional genome annotation (Nature reviews genetics)
6. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection (Molecular Systems Biology)
7. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models (Bioinform.)
8. The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. (Metabolic Engineering)
9. Data, information, knowledge and principle: back to metabolism in KEGG (Nucleic Acids Res.)
10. Theory for the systemic definition of metabolic pathways and their use in interpreting metabolic function from a pathway-oriented perspective. (Journal of Theoretical Biology)

Their papers

• BiGG Models: A platform for integrating, standardizing and sharing genome-scale models (2015) — 886 citations
• Constraint-based models predict metabolic and associated cellular functions (2014) — 835 citations
• Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways (2015) — 369 citations
• MEMOTE for standardized genome-scale metabolic model testing (2020) — 443 citations
• iML1515, a knowledgebase that computes Escherichia coli traits (2017) — 516 citations