The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Validating matrix metalloproteinases as drug targets and anti-targets for cancer therapy
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Cites
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Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
New functions for the matrix metalloproteinases in cancer progression
Egeblad, M., & Werb, Z. (2002) · Nature Reviews Cancer · doi:10.1038/nrc745 · Cited by 6,108
The pathogenesis of cancer metastasis: the ‘seed and soil’ hypothesis revisited
Fidler, I. J. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1098 · Cited by 4,686
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
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Matrix metalloproteinase-9 triggers the angiogenic switch during carcinogenesis
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Cancer and the chemokine network
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Breast cancer metastasis: markers and models
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Polypharmacology: Challenges and Opportunities in Drug Discovery: Miniperspective
Anighoro, A., Bajorath, J., & Rastelli, G. (2014) · Journal of Medicinal Chemistry · doi:10.1021/jm5006463 · Cited by 1,131
The role of stroma in pancreatic cancer: Diagnostic and therapeutic implications
Erkan, M., Hausmann, S., Michalski, C. W., Fingerle, A. A., Dobritz, M., Kleeff, J., & Friess, H. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.115 · Cited by 662
Metzincin proteases and their inhibitors: foes or friends in nervous system physiology?
Rivera, S., Khrestchatisky, M., Kaczmarek, L., Rosenberg, G. A., & Jaworski, D. M. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3467-10.2010 · Cited by 223
Matrix metalloproteinase collagenolysis in health and disease
Amar, S., Smith, L., & Fields, G. B. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2017.04.015 · Cited by 194
Zhang, H., Chang, M., Hansen, C. N., Basso, D. M., & Noble-Haeusslein, L. J. (2011) · Neurotherapeutics · doi:10.1007/s13311-011-0038-0 · Cited by 163
miR‐338‐3p suppresses invasion of liver cancer cell by targeting smoothened
Huang, X., Chen, J., Wang, Q., Chen, X., Wen, L., Chen, L., Bi, J., Zhang, L., Su, Q., & Zeng, W. (2011) · The Journal of Pathology · doi:10.1002/path.2877 · Cited by 118
Mori, H., Lo, A. T., Inman, J. L., Alcaraz, J., Ghajar, C. M., Mott, J. D., Nelson, C. M., Chen, C. S., Zhang, H., Bascom, J. L., et al. (2013) · Development · doi:10.1242/dev.084236 · Cited by 104
Matrix Metalloproteinases as New Targets in Alzheimer’s Disease: Opportunities and Challenges
Zipfel, P., Rochais, C., Baranger, K., Rivera, S., & Dallemagne, P. (2020) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.0c00352 · Cited by 94
Zhou, J. X., Taramelli, R., Pedrini, E., Knijnenburg, T., & Huang, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-09307-w · Cited by 85
Quancard, J., Klein, T., Fung, S.-Y., Renatus, M., Hughes, N., Israël, L., Priatel, J. J., Kang, S., Blank, M. A., Viner, R. I., et al. (2019) · Nature Chemical Biology · doi:10.1038/s41589-018-0222-1 · Cited by 72
Self-citationA 3D Microfluidic Model to Recapitulate Cancer Cell Migration and Invasion
Toh, Y.-C., Raja, A., Yu, H., & Van Noort, D. (2018) · Bioengineering · doi:10.3390/bioengineering5020029 · Cited by 57
CleavPredict: A platform for reasoning about matrix metalloproteinases proteolytic events.
Kumar, S., Ratnikov, B. I., Kazanov, M. D., Smith, J. W., & Cieplak, P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0127877 · Cited by 29
Metadata
- Authors
- Overall, C. M., & Kleifeld, O.
- Venue
- Nature Reviews Cancer
- Published
- 2006-03
- Volume
- 6
- Issue
- 3
- Pages
- 227-239
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W1978591675
- Cited by
- 1,214
- References
- 16
- FWCI
- 4.18
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.