The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Systems strategies for developing industrial microbial strains
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Citations
Cites
High-level semi-synthetic production of the potent antimalarial artemisinin
Paddon, C. J., Westfall, P. J., Pitera, D. J., Benjamin, K., Fisher, K., McPhee, D., Leavell, M. D., Tai, A., Main, A., Eng, D., et al. (2013) · Nature · doi:10.1038/nature12051 · Cited by 2,060
Programming cells by multiplex genome engineering and accelerated evolution
Wang, H. H., Isaacs, F. J., Carr, P. A., Sun, Z. Z., Xu, G., Forest, C. R., & Church, G. M. (2009) · Nature · doi:10.1038/nature08187 · Cited by 1,529
A Whole-Cell Computational Model Predicts Phenotype from Genotype
Karr, J. R., Sanghvi, J. C., Macklin, D. N., Gutschow, M. V., Jacobs, J. M., Bolival, B., Assad-Garcia, N., Glass, J. I., & Covert, M. W. (2012) · Cell · doi:10.1016/j.cell.2012.05.044 · Cited by 1,300
Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
Lewis, N. E., Nagarajan, H., & Palsson, B. O. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2737 · Cited by 779
Semi-synthetic artemisinin: a model for the use of synthetic biology in pharmaceutical development
Paddon, C. J., & Keasling, J. D. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3240 · Cited by 675
Integration of chemical catalysis with extractive fermentation to produce fuels
Anbarasan, P., Baer, Z. C., Sreekumar, S., Gross, E., Binder, J. B., Blanch, H. W., Clark, D. S., & Toste, F. D. (2012) · Nature · doi:10.1038/nature11594 · Cited by 385
Cited by
Engineering Cellular Metabolism
Nielsen, J., & Keasling, J. D. (2016) · Cell · doi:10.1016/j.cell.2016.02.004 · Cited by 1,378
Nikel, P. I., & de Lorenzo, V. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.05.005 · Cited by 480
Production of succinic acid by metabolically engineered microorganisms
Ahn, J. H., Jang, Y.-S., & Lee, S. Y. (2016) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2016.02.034 · Cited by 293
Self-citationAn Automated Model Test System for Systematic Development and Improvement of Gene Expression Models
Reis, A. C., & Salis, H. M. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00394 · Cited by 166
Saa, P. A., & Nielsen, L. K. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2017.09.005 · Cited by 166
Metadata
- Authors
- Lee, S. Y., & Kim, H. U.
- Venue
- Nature Biotechnology
- Published
- 2015-10
- Volume
- 33
- Issue
- 10
- Pages
- 1061-1072
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2187650526
- Cited by
- 589
- References
- 6
- FWCI
- 22.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lee, S. Y., & Kim, H. U. (2015). Systems strategies for developing industrial microbial strains. Nature Biotechnology. https://doi.org/10.1038/nbt.3365
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
