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Ksenia S. Egorova

Researcher at Russian Academy of Sciences

Publications -  59
Citations -  3573

Ksenia S. Egorova is an academic researcher from Russian Academy of Sciences. The author has contributed to research in topics: Ionic liquid & Catalysis. The author has an hindex of 18, co-authored 51 publications receiving 2554 citations.

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Biological Activity of Ionic Liquids and Their Application in Pharmaceutics and Medicine.

TL;DR: The accumulated data on the biological activity of ionic liquids, including their antimicrobial and cytotoxic properties, are discussed in view of possible applications in drug synthesis and drug delivery systems.
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Toxicity of Metal Compounds: Knowledge and Myths

TL;DR: In this paper, the authors discuss existing opinions concerning the possibilities of toxicity measurements, high toxicity of heavy-metal compounds, correlation between the structure of a metal compound and its toxicity, biological effect of direct/indirect contacts with metal compounds, and dangers of metal nanoparticles.
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Toxicity of Ionic Liquids: Eco(cyto)activity as Complicated, but Unavoidable Parameter for Task-Specific Optimization

TL;DR: It is shown that biological activity and cytotoxicity of ionic liquids dramatically depend on the nature of a biological system, and a careful selection of biological activity data is a must for the correct assessment of chemical technologies involving ionic liquid.
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Which Metals are Green for Catalysis? Comparison of the Toxicities of Ni, Cu, Fe, Pd, Pt, Rh, and Au Salts.

TL;DR: Comparison of the toxicological data indicates that palladium, platinum, and gold compounds, often considered heavy and toxic, may in fact be not so dangerous, whereas complexes of nickel and copper, typically assumed to be green and sustainable alternatives, may possess significant toxicities, which is also greatly affected by the solubility in water and biological fluids.
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Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts

TL;DR: The Carbohydrate Structure Databases (CSDBs, http://csdb.glycoscience.ru) store structural, bibliographic, taxonomic, NMR spectroscopic, and other data on natural carbohydrates and their derivatives published in the scientific literature.