引用次数
引用: 6,042
H-指数: 32
I10-指数 : 53
出版物: 107
Characterization and efficacy of PKH26 as a probe to study the replication history of the human hematopoietic KG1a progenitor cell line
GYUN MIN LEE , STEPHEN S. FONG , DUK JAE OH , KARL FRANCIS
In Vitro Cellular & Developmental Biology – Animal 38 ( 2) 90 -96
9
2002
A genome-scale metabolic model of Cryptosporidium hominis.
Niti Vanee , Seth B. Roberts , Stephen S. Fong , Patricio Manque
Chemistry & Biodiversity 7 ( 5) 1026 -1039
18
2010
Exploring biodiversity for cellulosic biofuel production.
Christopher M. Gowen , Stephen S. Fong
Chemistry & Biodiversity 7 ( 5) 1086 -1097
38
2010
Adaptive evolution of Escherichia coli: Systems biology and a genome-scale metabolic model
Stephen Sailoong Fong
University of California, San Diego
2
2004
A review of genome-scale metabolic flux modeling of anaerobiosis in biotechnology
Ryan S Senger , Jiun Y Yen , Stephen S Fong
Current Opinion in Chemical Engineering 6 33 -42
12
2014
Bacterial chitinase: nature and perspectives for sustainable bioproduction
Qiang Yan , Stephen S Fong
Bioresources and Bioprocessing 2 ( 1) 31
26
2015
Cellular automata simulation of topological effects on the dynamics of feed-forward motifs
Advait A Apte , John W Cain , Danail G Bonchev , Stephen S Fong
Journal of Biological Engineering 2 ( 1) 2 -2
14
2008
Metabolic gene-deletion strains of Escherichia coli evolve to computationally predicted growth phenotypes.
Stephen S Fong , Bernhard Ø Palsson
Nature Genetics 36 ( 10) 1056 -1058
315
2004
Lignin biodegradation and industrial implications
Adam B Fisher , , Stephen S Fong
Bioengineering 2014, Vol. 1, Pages 92-112 1 ( 2) 92 -112
83
2014
Integrative metabolic engineering
George H McArthur IV , , Pooja P Nanjannavar , Emily H Miller
Bioengineering 2015, Vol. 2, Pages 93-103 2 ( 3) 93 -103
3
2015
Proteomics-based metabolic modeling and characterization of the cellulolytic bacterium Thermobifida fusca.
Niti Vanee , J Paul Brooks , Victor Spicer , Dmitriy Shamshurin
BMC Systems Biology 8 ( 1) 86 -86
15
2014
Designing novel cellulase systems through agent-based modeling and global sensitivity analysis
Advait A Apte , Ryan S Senger , Stephen S Fong
Bioengineered bugs 5 ( 4) 243 -253
7
2014
Increasing carbon source uptake rates to improve chemical productivity in metabolic engineering.
Qiang Yan , Stephen S Fong
Current Opinion in Biotechnology 53 254 -263
10
2018
Leveraging genome-scale metabolic models for human health applications.
Shomeek Chowdhury , Stephen S Fong
Current Opinion in Biotechnology 66 267 -276
9
2020
Recent advances on constraint-based models by integrating machine learning.
Pratip Rana , Carter Berry , Preetam Ghosh , Stephen S Fong
Current Opinion in Biotechnology 64 85 -91
33
2020
Genome-scale metabolic analysis of Clostridium thermocellum for bioethanol production
Seth B Roberts , Christopher M Gowen , J Paul Brooks , Stephen S Fong
BMC Systems Biology 4 ( 1) 31 -31
104
2010
Identification of Genome-Scale Metabolic Network Models Using Experimentally Measured Flux Profiles
Markus J Herrgård , Stephen S Fong , Bernhard Ø Palsson
PLOS Computational Biology 2 ( 7)
149
2005
The econometrics of evolution
Stephen S Fong , Andrew R Joyce , Bernhard Ø Palsson
Nature Chemical Biology 1 ( 4) 191 -192
2
2005
471 Microbiology goes big: microbial systems biology
Jesse RR Zaneveld , Laura Wegener Parfrey , Will Van Treuren , Catherine Lozupone
Do Genome-scale Models Need Exact Solvers or Clearer Standards?
Ali Ebrahim , Eivind Almaas , Eugen Bauer , Aarash Bordbar
Molecular Systems Biology 11 ( 10) 831 -831
64
2015