The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Mass spectral databases for LC/MS- and GC/MS-based metabolomics: State of the field and future prospects
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Sumner, L. W., Amberg, A., Barrett, D., Beale, M. H., Beger, R., Daykin, C. A., Fan, T. W.-M., Fiehn, O., Goodacre, R., Griffin, J. L., et al. (2007) · Metabolomics · doi:10.1007/s11306-007-0082-2 · Cited by 5,368
Optimization and testing of mass spectral library search algorithms for compound identification
Stein, S. E., & Scott, D. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)87009-8 · Cited by 882
In silico fragmentation for computer assisted identification of metabolite mass spectra
Wolf, S., Schmidt, S., Müller-Hannemann, M., & Neumann, S. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-148 · Cited by 698
Self-citationMyCompoundID: using an evidence-based metabolome library for metabolite identification
Li, L., Li, R., Zhou, J., Zuniga, A., Stanislaus, A. E., Wu, Y., Huan, T., Zheng, J., Shi, Y., Wishart, D. S., et al. (2013) · Analytical Chemistry · doi:10.1021/ac400099b · Cited by 229
Cited by
Metabolomics: beyond biomarkers and towards mechanisms
Johnson, C. H., Ivanisevic, J., & Siuzdak, G. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.25 · Cited by 2,829
MetFrag relaunched: incorporating strategies beyond in silico fragmentation
Ruttkies, C., Schymanski, E. L., Wolf, S., Hollender, J., & Neumann, S. (2016) · Journal of Cheminformatics · doi:10.1186/s13321-016-0115-9 · Cited by 1,052
Self-citationIdentification of bioactive metabolites using activity metabolomics
Rinschen, M. M., Ivanisevic, J., Giera, M., & Siuzdak, G. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0108-4 · Cited by 1,008
Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra
Dührkop, K., Nothias, L.-F., Fleischauer, M., Reher, R., Ludwig, M., Hoffmann, M. A., Petras, D., Gerwick, W. H., Rousu, J., Dorrestein, P. C., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-0740-8 · Cited by 860
Nontarget Screening with High Resolution Mass Spectrometry in the Environment: Ready to Go?
Hollender, J., Schymanski, E. L., Singer, H. P., & Ferguson, P. L. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02184 · Cited by 733
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Metadata
- Authors
- Vinaixa, M., Schymanski, E. L., Neumann, S., Navarro, M., Salek, R. M., & Yanes, O.
- Venue
- TrAC Trends in Analytical Chemistry
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 78
- Pages
- 23-35
- ISSN
- 0165-9936 (ISSN-L)
- OpenAlex
- W2162539049
- Cited by
- 562
- References
- 4
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Mass spectral databases for LC/MS- and GC/MS-based metabolomics: State of the field and future prospects. https://app.cochat.ai/papers/10.1016/j.trac.2015.09.005
- The paper
- Vinaixa, M., Schymanski, E. L., Neumann, S., Navarro, M., Salek, R. M., & Yanes, O. (2016). Mass spectral databases for LC/MS- and GC/MS-based metabolomics: State of the field and future prospects. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2015.09.005
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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.
