The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
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Citations
Cites
Fourier Transform Infrared Spectrometry
Griffiths, P. R., & de Haseth, J. A. (2007) · doi:10.1002/047010631x · Cited by 3,052
Guilt-by-association goes global
Oliver, S. (2000) · Nature · doi:10.1038/35001165 · Cited by 557
Self-citation
Cited by
Metabolomics—the link between genotypes and phenotypes
Fiehn, O. (2002) · Plant Molecular Biology · doi:10.1023/a:1013713905833 · Cited by 3,445
Hopkins, A. L., & Groom, C. R. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd892 · Cited by 3,305
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143
Data processing for mass spectrometry-based metabolomics
Katajamaa, M., & Orešič, M. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2007.04.021 · Cited by 616
Metabolite Profiling Identifies Pathways Associated With Metabolic Risk in Humans
Cheng, S., Rhee, E. P., Larson, M. G., Lewis, G. D., McCabe, E. L., Shen, D., Palma, M. J., Roberts, L. D., Dejam, A., Souza, A. L., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.067827 · Cited by 587
Metadata
- Authors
- Raamsdonk, L. M., Teusink, B., Broadhurst, D., Zhang, N., Hayes, A., Walsh, M. C., Berden, J. A., Brindle, K. M., Kell, D. B., Rowland, J. J., Westerhoff, H. V., van Dam, K., & Oliver, S. G.
- Venue
- Nature Biotechnology
- Published
- 2001-01
- Volume
- 19
- Issue
- 1
- Pages
- 45-50
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W1914762032
- Cited by
- 1,005
- References
- 2
- FWCI
- 22.58
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations. https://app.cochat.ai/papers/10.1038/83496
- The paper
- Raamsdonk, L. M., Teusink, B., Broadhurst, D., Zhang, N., Hayes, A., Walsh, M. C., Berden, J. A., Brindle, K. M., Kell, D. B., Rowland, J. J., Westerhoff, H. V., van Dam, K., & Oliver, S. G. (2001). A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations. Nature Biotechnology. https://doi.org/10.1038/83496
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.
