Scientific journals of the university at the end of 2025 demonstrate a steady growth and consolidation of leadership positions in key national and international systems for evaluating scientific publications. The reputation and citation of publications has been strengthened as a result of consistent efforts to improve their quality and international recognition.
International Rankings
Following the update of the Scimago Journal Rank (SJR), based on data from the most authoritative international database Scopus, all international journals of IKBFU were included in the first quartile (Q1) according to their scientific areas. Being in the first quartile means that publications are among the 25% of the most influential and cited journals in the world in their subject categories.
Expansion of the Publishing Portfolio: New Biomedicine Journal
In 2025, the university strengthened its position as a publisher of scientific journals. To the existing 10 scientific periodicals in 2025, a new scientific biomedical journal was added — “Advanced targets in Biomedicine”. The journal focuses on interdisciplinary biomedical research and is planned to be included in domestic and international abstract databases, which will contribute to the further integration of IKBFU scientific results into the global academic space. Chief editor of the journal is a Doctor of medical sciences, Director of the Center of Immunology and Cellular Biotechnology of IKBFU Larisa Litvinova. Also in the composition of the editorial team, besides authoritative Russian researchers, representatives of USA, Germany and Lithuania. As a result of the year, 2 issues of the magazine were released, which reflects the growing potential of the university in organizing and coordinating scientific communications. So, in the first issue of 2025, there was a material act about how to significantly accelerate drug development. The approach proposed by scientists from SSMU works on the principle of a powerful “magnet”. It allows you to quickly cut out unpromising options and select a few of the most likely candidates for further experimental testing. The new algorithm, based on bioinformatics tools, allows the chemical structure of the compound to predict which processes in the cell it can affect, according to the authors of the study. This approach reduces the time and cost of initial drug development by at least 30-40 percent, focusing on the most promising molecules.
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