The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.
Biotechnological domestication of pseudomonads using synthetic biology
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Cites
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Programming cells by multiplex genome engineering and accelerated evolution
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Cited by
Nikel, P. I., & de Lorenzo, V. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.05.005 · Cited by 480
Self-citationTrunk, T., Bacterial Cell Surface Group, S. F. G. A. E. B., S. Khalil, H., & C. Leo, J. (2018) · AIMS Microbiology · doi:10.3934/microbiol.2018.1.140 · Cited by 444
“Species of the genus Pseudomonas, belonging to the γ-proteobacterial phylum, can survive and thrive in a broad range of environments, partly due to a high capacity to endure both endogenous and exogenous stresses [105].”
BackgroundNikel, P. I., Chavarría, M., Fuhrer, T., Sauer, U., & de Lorenzo, V. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.687749 · Cited by 355
Self-citationThe revisited genome of Pseudomonas putida KT2440 enlightens its value as a robust metabolic chassis
Belda, E., van Heck, R. G. A., José Lopez‐Sanchez, M., Cruveiller, S., Barbe, V., Fraser, C., Klenk, H., Petersen, J., Morgat, A., Nikel, P. I., et al. (2016) · Environmental Microbiology · doi:10.1111/1462-2920.13230 · Cited by 338
Self-citationMartínez-García, E., Aparicio, T., Goñi-Moreno, A., Fraile, S., & de Lorenzo, V. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1114 · Cited by 204
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Metadata
- Authors
- Nikel, P. I., Martínez-García, E., & de Lorenzo, V.
- Venue
- Nature Reviews Microbiology
- Published
- 2014-04-16
- Volume
- 12
- Issue
- 5
- Pages
- 368-379
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W1998369603
- Cited by
- 381
- References
- 120
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- green
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- Nikel, P. I., Martínez-García, E., & de Lorenzo, V. (2014). Biotechnological domestication of pseudomonads using synthetic biology. Nature Reviews Microbiology. https://doi.org/10.1038/nrmicro3253
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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.