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Metabolome diversity: too few genes, too many metabolites?
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Citations
Cited by
Metabolomics for Functional Genomics, Systems Biology, and Biotechnology
Saito, K., & Matsuda, F. (2010) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.043008.092035 · Cited by 744
Current approaches and challenges for the metabolite profiling of complex natural extracts
Wolfender, J.-L., Marti, G., Thomas, A., & Bertrand, S. (2015) · Journal of Chromatography A · doi:10.1016/j.chroma.2014.10.091 · Cited by 635
Rochfort, S. (2005) · Journal of Natural Products · doi:10.1021/np050255w · Cited by 465
The Molecular and Cellular Basis of Bitter Taste in Drosophila
Weiss, L. A., Dahanukar, A., Kwon, J. Y., Banerjee, D., & Carlson, J. R. (2011) · Neuron · doi:10.1016/j.neuron.2011.01.001 · Cited by 440
Profiling metabolites and peptides in single cells
Rubakhin, S. S., Romanova, E. V., Nemes, P., & Sweedler, J. V. (2011) · Nature Methods · doi:10.1038/nmeth.1549 · Cited by 347
Metadata
- Authors
- Schwab, W.
- Venue
- Phytochemistry
- Publisher
- Elsevier BV
- Published
- 2003-03
- Volume
- 62
- Issue
- 6
- Pages
- 837-849
- ISSN
- 0031-9422 (ISSN-L)
- OpenAlex
- W2125383687
- Cited by
- 201
- References
- 0
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Metabolome diversity: too few genes, too many metabolites? https://app.cochat.ai/papers/10.1016/s0031-9422(02)00723-9
- The paper
- Schwab, W. (2003). Metabolome diversity: too few genes, too many metabolites? Phytochemistry. https://doi.org/10.1016/s0031-9422(02)00723-9
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.