Nathan D. Price
Molecular Biology · 2003–2022
A researcher in the Science corpus: 10 papers; trusts 35 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 187 citations into it; #976 of 17,773 by trust here, #3,712 by citations
- Biomedical Engineering — 26 citations into it; #3,772 of 10,734 by trust here, #4,948 by citations
- Genetics — 15 citations into it
Whom Nathan D. Price trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard O. Palsson
- C. Schilling
- Jeremy S. Edwards
- Markus W. Covert
- Jennie L. Reed
- Radhakrishnan Mahadevan
- Iman Famili
- Jochen Förster
- Jörg Stelling
- Scott A. Becker
Who trusts Nathan D. Price overall
- Bernhard O. Palsson
- Adam M. Feist
- Prit Pharkya
- Ines Thiele
- Karthik Raman
- Jennie L. Reed
- Anthony P. Burgard
- Koyel Mitra
- Scott A. Becker
- Andrew R. Joyce
Papers from Nathan D. Price's perspective
Ordered by how strongly the researchers Nathan D. Price trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Genome-scale microbial in silico models: the constraints-based approach. (Trends in Biotechnology)
- Theory for the systemic definition of metabolic pathways and their use in interpreting metabolic function from a pathway-oriented perspective. (Journal of Theoretical Biology)
- An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
- The large-scale organization of metabolic networks (Nature)
- Dynamic flux balance analysis of diauxic growth in Escherichia coli. (Biophysical Journal)
- Regulation of gene expression in flux balance models of metabolism. (Journal of Theoretical Biology)
- Understanding variable importances in forests of randomized trees
- BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
Their papers
- Genome-scale models of microbial cells: evaluating the consequences of constraints (2004) — 1,090 citations
- Genome-scale microbial in silico models: the constraints-based approach. (2003) — 429 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
- Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis (2010) — 394 citations
- Multiple early factors anticipate post-acute COVID-19 sequelae (2022) — 994 citations
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (2010) — 549 citations
- MEMOTE for standardized genome-scale metabolic model testing (2020) — 443 citations
- Health and disease markers correlate with gut microbiome composition across thousands of people (2020) — 679 citations