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Metabolomics by numbers: acquiring and understanding global metabolite data
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Cites
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Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
Network biology: understanding the cell's functional organization
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Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network
Förster, J., Famili, I., Fu, P., Palsson, B. Ø., & Nielsen, J. (2003) · Genome Research · doi:10.1101/gr.234503 · Cited by 1,069
Functional genomic hypothesis generation and experimentation by a robot scientist
King, R. D., Whelan, K. E., Jones, F. M., Reiser, P. G. K., Bryant, C. H., Muggleton, S. H., Kell, D. B., & Oliver, S. G. (2004) · Nature · doi:10.1038/nature02236 · Cited by 662
Self-citationKell, D. B., & Oliver, S. G. (2004) · BioEssays · doi:10.1002/bies.10385 · Cited by 535
Self-citationMetabolomics and systems biology: making sense of the soup
KELL, D. (2004) · Current Opinion in Microbiology · doi:10.1016/j.mib.2004.04.012 · Cited by 529
Self-citationFamili, I., Förster, J., Nielsen, J., & Palsson, B. O. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2235812100 · Cited by 353
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The Human Serum Metabolome (HUSERMET) Consortium, Dunn, W. B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J. D., Halsall, A., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.335 · Cited by 3,294
Self-citationGene regulatory network inference: Data integration in dynamic models—A review
Hecker, M., Lambeck, S., Toepfer, S., van Someren, E., & Guthke, R. (2009) · Biosystems · doi:10.1016/j.biosystems.2008.12.004 · Cited by 755
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
Metabolomics and systems biology: making sense of the soup
KELL, D. (2004) · Current Opinion in Microbiology · doi:10.1016/j.mib.2004.04.012 · Cited by 529
Self-citationIndividual variability in human blood metabolites identifies age-related differences
Chaleckis, R., Murakami, I., Takada, J., Kondoh, H., & Yanagida, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603023113 · Cited by 373
A hybrid approach for efficient and robust parameter estimation in biochemical pathways
Rodriguez-Fernandez, M., Mendes, P., & Banga, J. R. (2006) · Biosystems · doi:10.1016/j.biosystems.2005.06.016 · Cited by 304
Analytical and statistical approaches to metabolomics research
Issaq, H. J., Van, Q. N., Waybright, T. J., Muschik, G. M., & Veenstra, T. D. (2009) · Journal of Separation Science · doi:10.1002/jssc.200900152 · Cited by 227
Metabolomics of a Superorganism
Goodacre, R. (2007) · The Journal of Nutrition · doi:10.1093/jn/137.1.259s · Cited by 225
Self-citationPereira, S., Kildegaard, H. F., & Andersen, M. R. (2018) · Biotechnology Journal · doi:10.1002/biot.201700499 · Cited by 214
Microbial metabolomics: toward a platform with full metabolome coverage
Werf, M. J. V. D., Overkamp, K. M., Muilwijk, B., Coulier, L., & Hankemeier, T. (2007) · Analytical Biochemistry · doi:10.1016/j.ab.2007.07.022 · Cited by 207
Formulating genome‐scale kinetic models in the post‐genome era
Jamshidi, N., & Palsson, B. Ø. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.8 · Cited by 180
Masson, P., Alves, A. C., Ebbels, T. M. D., Nicholson, J. K., & Want, E. J. (2010) · Analytical Chemistry · doi:10.1021/ac101722e · Cited by 173
Cheesomics: the future pathway to understanding cheese flavour and quality.
Afshari, R., Pillidge, C. J., Dias, D. A., Osborn, A. M., & Gill, H. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2018.1512471 · Cited by 126
The isotopic anatomies of molecules and minerals
Eiler, J. M. (2013) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev-earth-042711-105348 · Cited by 96
A curious formulation robot enables the discovery of a novel protocell behavior
Grizou, J., Points, L. J., Sharma, A., & Cronin, L. (2020) · Science Advances · doi:10.1126/sciadv.aay4237 · Cited by 77
Kell, D. B. (2007) · IUBMB Life · doi:10.1080/15216540701694252 · Cited by 52
Self-citationThe Potential Role of Metabolomics in Drug-Induced Liver Injury (DILI) Assessment
Moreno-Torres, M., Quintás, G., & Castell, J. V. (2022) · Metabolites · doi:10.3390/metabo12060564 · Cited by 50
Peel, A. M., Wilkinson, M., Sinha, A., Loke, Y. K., Fowler, S. J., & Wilson, A. M. (2020) · Respiratory Medicine · doi:10.1016/j.rmed.2020.105984 · Cited by 40
Stewart, M., Mulenos, M. R., Steele, L. R., & Sayes, C. M. (2018) · Applied Sciences · doi:10.3390/app8122669 · Cited by 21
Reddy, P., Rochfort, S., Read, E., Deseo, M., Jaehne, E., Van Den Buuse, M., Guthridge, K., Combs, M., Spangenberg, G., & Quinn, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-45170-7 · Cited by 16
Metabolomic Biomarkers in Polycystic Ovary Syndrome: A Review of the Evidence
Alesi, S., Ghelani, D., & Mousa, A. (2021) · Seminars in Reproductive Medicine · doi:10.1055/s-0041-1729841 · Cited by 16
Metadata
- Authors
- Goodacre, R., Vaidyanathan, S., Dunn, W. B., Harrigan, G. G., & Kell, D. B.
- Venue
- Trends in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 22
- Issue
- 5
- Pages
- 245-252
- ISSN
- 0167-7799 (ISSN-L)
- OpenAlex
- W2114390083
- Cited by
- 1,249
- References
- 8
- FWCI
- 4.23
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
