The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Plant lipidomics: Discerning biological function by profiling plant complex lipids using mass spectrometry
Open accessAbstract
Since 2002, plant biologists have begun to apply mass spectrometry to the comprehensive analysis of complex lipids. Such lipidomic analyses have been used to uncover roles for lipids in plant response to stresses and to identify in vivo functions of genes involved in lipid metabolism.
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Cites
Signaling functions of phosphatidic acid
WANG, X., DEVAIAH, S., ZHANG, W., & WELTI, R. (2006) · Progress in Lipid Research · doi:10.1016/j.plipres.2006.01.005 · Cited by 757
Self-citationAbbadi, A., Domergue, F., Bauer, J., Napier, J. A., Welti, R., Zähringer, U., Cirpus, P., & Heinz, E. (2004) · The Plant Cell · doi:10.1105/tpc.104.026070 · Cited by 322
Self-citation
Cited by
Li-Beisson, Y., Shorrosh, B., Beisson, F., Andersson, M. X., Arondel, V., Bates, P. D., Baud, S., Bird, D., DeBono, A., Durrett, T. P., et al. (2010) · The Arabidopsis Book · doi:10.1199/tab.0133 · Cited by 367
Self-citationHan, X., Yang, K., & Gross, R. W. (2008) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.3595 · Cited by 190
Han, X. (2007) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2007.04708.x · Cited by 101
Metadata
- Authors
- Welti, R.
- Venue
- Frontiers in Bioscience
- Publisher
- IMR Press
- Published
- 2007
- Volume
- 12
- Issue
- 1
- Pages
- 2494
- ISSN
- 1093-4715 (ISSN-L)
- 1093-9946
- DOI
- 10.2741/2250
- OpenAlex
- W2159119669
- Cited by
- 160
- References
- 2
- FWCI
- 1.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Welti, R. (2007). Plant lipidomics: Discerning biological function by profiling plant complex lipids using mass spectrometry. Frontiers in Bioscience. https://doi.org/10.2741/2250
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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.