The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Missing the target: matrix metalloproteinase antitargets in inflammation and cancer
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tumors: Wounds That Do Not Heal
Flier, J. S., Underhill, L. H., & Dvorak, H. F. (1986) · New England Journal of Medicine · doi:10.1056/nejm198612253152606 · Cited by 4,391
Matrix metalloproteinases as modulators of inflammation and innate immunity
Parks, W. C., Wilson, C. L., & López-Boado, Y. S. (2004) · Nature Reviews Immunology · doi:10.1038/nri1418 · Cited by 1,929
MMP-9 Supplied by Bone Marrow–Derived Cells Contributes to Skin Carcinogenesis
Coussens, L. M., Tinkle, C. L., Hanahan, D., & Werb, Z. (2000) · Cell · doi:10.1016/s0092-8674(00)00139-2 · Cited by 1,306
Cited by
The Roles of Matrix Metalloproteinases and Their Inhibitors in Human Diseases
Cabral-Pacheco, G. A., Garza-Veloz, I., Castruita-De la Rosa, C., Ramirez-Acuña, J. M., Perez-Romero, B. A., Guerrero-Rodriguez, J. F., Martinez-Avila, N., & Martinez-Fierro, M. L. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21249739 · Cited by 1,820
Fibroblast heterogeneity in the cancer wound
Öhlund, D., Elyada, E., & Tuveson, D. (2014) · Journal of Experimental Medicine · doi:10.1084/jem.20140692 · Cited by 926
Is there new hope for therapeutic matrix metalloproteinase inhibition?
Vandenbroucke, R. E., & Libert, C. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4390 · Cited by 832
Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects
Tang, S.-M., Deng, X.-T., Zhou, J., Li, Q.-P., Ge, X.-X., & Miao, L. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2019.109604 · Cited by 654
Matrix metalloproteinases in inflammation
Nissinen, L., & Kähäri, V.-M. (2014) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2014.03.007 · Cited by 444
Metadata
- Authors
- Dufour, A., & Overall, C. M.
- Venue
- Trends in Pharmacological Sciences
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 34
- Issue
- 4
- Pages
- 233-242
- ISSN
- 0165-6147 (ISSN-L)
- OpenAlex
- W2087973465
- Cited by
- 312
- References
- 3
- FWCI
- 2.87
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Missing the target: matrix metalloproteinase antitargets in inflammation and cancer. https://app.cochat.ai/papers/10.1016/j.tips.2013.02.004
- The paper
- Dufour, A., & Overall, C. M. (2013). Missing the target: matrix metalloproteinase antitargets in inflammation and cancer. Trends in Pharmacological Sciences. https://doi.org/10.1016/j.tips.2013.02.004
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.