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Cited by 388

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Thirty Years of the Drug Candidate NAMI‐A and the Myths in the Field of Ruthenium Anticancer Compounds: A Personal Perspective

Open access
Alessio, Enzo·2017·European Journal of Inorganic Chemistry

Abstract

As anticipated in the title, this contribution is basically divided into two, strictly connected, parts. The first is a personal overview of the ruthenium drug candidate NAMI‐A, almost 30 years after its synthesis and the discovery of its unprecedented antimetastatic properties in animal models at nontoxic dosages. The sections relating to the chemical and biological behavior of the complex, and the hypotheses on its mechanism(s) of action, are kept to a minimum, whereas more space is devoted to discussion of the results of the clinical investigations. The second part deals in detail with a number of undemonstrated misconceptions (or myths) that, over the years, have thrived around NAMI‐A and other ruthenium drug candidates, thus negatively affecting the whole field of Ru anticancer drugs.

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Metadata

Authors
Alessio, E.
Venue
European Journal of Inorganic Chemistry
Publisher
Wiley
Published
2016-09-28
Volume
2017
Issue
12
Pages
1549-1560
ISSN
  • 1099-0682 (ISSN-L)
  • 1434-1948
OpenAlex
W2526296695
Cited by
388
References
92
FWCI
21.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Thirty Years of the Drug Candidate NAMI‐A and the Myths in the Field of Ruthenium Anticancer Compounds: A Personal Perspective. https://app.cochat.ai/papers/10.1002/ejic.201600986
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Alessio, E. (2017). Thirty Years of the Drug Candidate NAMI‐A and the Myths in the Field of Ruthenium Anticancer Compounds: A Personal Perspective. European Journal of Inorganic Chemistry. https://doi.org/10.1002/ejic.201600986

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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.