Maksim Kuznetsov

7 papers and 48 indexed citations i.

About

Maksim Kuznetsov is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Maksim Kuznetsov has authored 7 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Maksim Kuznetsov’s work include Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (2 papers) and Semantic Web and Ontologies (1 paper). Maksim Kuznetsov is often cited by papers focused on Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (2 papers) and Semantic Web and Ontologies (1 paper). Maksim Kuznetsov collaborates with scholars based in Canada, United States and Russia. Maksim Kuznetsov's co-authors include Daniil Polykovskiy, Artur Kadurin, Alexander Aliper, Sergey Nikolenko, Alexander Zhebrak, Alex Zhavoronkov, Anthony Costa, Elena Tutubalina, Dmitry Vetrov and Zulfat Miftahutdinov and has published in prestigious journals such as Chemical Science, Frontiers in Pharmacology and Journal of Chemical Information and Modeling.

In The Last Decade

Co-authorship network of co-authors of Maksim Kuznetsov i

Fields of papers citing papers by Maksim Kuznetsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maksim Kuznetsov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maksim Kuznetsov. The network helps show where Maksim Kuznetsov may publish in the future.

Countries citing papers authored by Maksim Kuznetsov

Since Specialization
Citations

This map shows the geographic impact of Maksim Kuznetsov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maksim Kuznetsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maksim Kuznetsov more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2026