The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Metabolomics in cancer biomarker discovery: Current trends and future perspectives
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Citations
Cites
Targeting HIF-1 for cancer therapy
Semenza, G. L. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1187 · Cited by 6,717
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
The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth
Christofk, H. R., Vander Heiden, M. G., Harris, M. H., Ramanathan, A., Gerszten, R. E., Wei, R., Fleming, M. D., Schreiber, S. L., & Cantley, L. C. (2008) · Nature · doi:10.1038/nature06734 · Cited by 2,820
Tumor Hypoxia: Definitions and Current Clinical, Biologic, and Molecular Aspects
Hockel, M., & Vaupel, P. (2001) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/93.4.266 · Cited by 2,662
The Multiple Leiomyoma Consortium (2002) · Nature Genetics · doi:10.1038/ng849 · Cited by 1,635
Isaacs, J. S., Jung, Y. J., Mole, D. R., Lee, S., Torres-Cabala, C., Chung, Y.-L., Merino, M., Trepel, J., Zbar, B., Toro, J., et al. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.06.017 · Cited by 958
Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase
Frezza, C., Zheng, L., Folger, O., Rajagopalan, K. N., MacKenzie, E. D., Jerby, L., Micaroni, M., Chaneton, B., Adam, J., Hedley, A., et al. (2011) · Nature · doi:10.1038/nature10363 · Cited by 503
Regulation of cancer cell metabolism by hypoxia-inducible factor 1
Semenza, G. L. (2009) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2008.11.009 · Cited by 469
Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors
Arlt, W., Biehl, M., Taylor, A. E., Hahner, S., Libé, R., Hughes, B. A., Schneider, P., Smith, D. J., Stiekema, H., Krone, N., et al. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-1565 · Cited by 458
SASADA, S., MIYATA, Y., TSUTANI, Y., TSUYAMA, N., MASUJIMA, T., HIHARA, J., & OKADA, M. (2013) · Oncology Reports · doi:10.3892/or.2012.2182 · Cited by 41
Cited by
Eelen, G., de Zeeuw, P., Treps, L., Harjes, U., Wong, B. W., & Carmeliet, P. (2018) · Physiological Reviews · doi:10.1152/physrev.00001.2017 · Cited by 572
Menyhárt, O., & Győrffy, B. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.01.009 · Cited by 380
Mass spectrometric based approaches in urine metabolomics and biomarker discovery
Khamis, M. M., Adamko, D. J., & El‐Aneed, A. (2017) · Mass Spectrometry Reviews · doi:10.1002/mas.21455 · Cited by 342
Personalized Dendritic Cell Vaccines‐Recent Breakthroughs and Encouraging Clinical Results
Mastelic-Gavillet, B., Balint, K., Boudousquie, C., Gannon, P. O., & Kandalaft, L. E. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00766 · Cited by 189
Applications of metabolomics to study cancer metabolism
Kaushik, A. K., & DeBerardinis, R. J. (2018) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2018.04.009 · Cited by 179
Metadata
- Authors
- Armitage, E. G., & Barbas, C.
- Venue
- Journal of Pharmaceutical and Biomedical Analysis
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 87
- Pages
- 1-11
- ISSN
- 0731-7085 (ISSN-L)
- OpenAlex
- W2015465447
- Cited by
- 331
- References
- 10
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Armitage, E. G., & Barbas, C. (2014). Metabolomics in cancer biomarker discovery: Current trends and future perspectives. Journal of Pharmaceutical and Biomedical Analysis. https://doi.org/10.1016/j.jpba.2013.08.041
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.