Nikolaus Sonnenschein
Molecular Biology · 2013–2020
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 97 citations into it
Whom Nikolaus Sonnenschein trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard O. Palsson (in Molecular Biology)
Papers from Nikolaus Sonnenschein's perspective
Ordered by how strongly the researchers Nikolaus Sonnenschein trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 (Nature Protocols)
- An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
- The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models (Bioinform.)
- CellDesigner 3.5: A Versatile Modeling Tool for Biochemical Networks (Proceedings of the IEEE)
- BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
- Using process diagrams for the graphical representation of biological networks (Nature Biotechnology)
- Constraint-based models predict metabolic and associated cellular functions (Nature reviews genetics)
- WikiPathways: building research communities on biological pathways (Nucleic Acids Res.)
- A comprehensive genome-scale reconstruction of Escherichia coli metabolism—2011 (Molecular Systems Biology)
- iPath2.0: interactive pathway explorer (Nucleic Acids Res.)
Their papers
- A community-driven global reconstruction of human metabolism (2013) — 1,073 citations
- Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways (2015) — 369 citations
- A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism (2019) — 318 citations
- MEMOTE for standardized genome-scale metabolic model testing (2020) — 443 citations