Jason A. Papin
Molecular Biology · 2003–2020
A researcher in the Science corpus: 8 papers; trusts 29 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 153 citations into it; #3,334 of 17,773 by trust here, #4,657 by citations
- Biomedical Engineering — 30 citations into it; #2,751 of 10,734 by trust here, #3,650 by citations
- Spectroscopy — 8 citations into it
- Cell Biology — 7 citations into it
- Genetics — 7 citations into it
Whom Jason A. Papin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard O. Palsson
- C. Schilling
- W. Fischle
- Anthony P. Burgard
- Jörg Stelling
- Jeremy S. Edwards
- Jennie L. Reed
- Iman Famili
- Donald E. Ingber
- Oliver Fiehn
Who trusts Jason A. Papin overall
- Bernhard O. Palsson
- Anthony P. Burgard
- Florian Markowetz
- J. Ludwig
- Karthik Raman
- Ines Thiele
- J. Sáez-Rodríguez
- Prit Pharkya
- Jennie L. Reed
- Pedro Romero
Papers from Jason A. Papin's perspective
Ordered by how strongly the researchers Jason A. Papin trusts endorse each paper. Same corpus, a different order for every researcher.
- The large-scale organization of metabolic networks (Nature)
- Metabolic modeling of microbial strains in silico. (TIBS -Trends in Biochemical Sciences. Regular ed)
- Genome-scale models of microbial cells: evaluating the consequences of constraints (Nature Reviews Microbiology)
- An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
- Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network. (Genome Research)
- Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. (Science)
- Metabolic gene–deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes (Nature Genetics)
- Functional organization of the yeast proteome by systematic analysis of protein complexes (Nature)
- Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli (Molecular Systems Biology)
- Understanding variable importances in forests of randomized trees
Their papers
- Genome-scale microbial in silico models: the constraints-based approach. (2003) — 429 citations
- Applications of genome-scale metabolic reconstructions (2009) — 849 citations
- Reconstruction of cellular signalling networks and analysis of their properties (2005) — 547 citations
- A community-driven global reconstruction of human metabolism (2013) — 1,073 citations
- Metabolic pathways in the post-genome era. (2003) — 353 citations
- Comparison of network-based pathway analysis methods. (2004) — 397 citations
- Flux balance analysis in the era of metabolomics (2006) — 296 citations
- MEMOTE for standardized genome-scale metabolic model testing (2020) — 443 citations