Natalia Dyubankova

24 papers and 295 indexed citations i.

About

Natalia Dyubankova is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Natalia Dyubankova has authored 24 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Natalia Dyubankova’s work include Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (5 papers) and DNA and Nucleic Acid Chemistry (3 papers). Natalia Dyubankova is often cited by papers focused on Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (5 papers) and DNA and Nucleic Acid Chemistry (3 papers). Natalia Dyubankova collaborates with scholars based in Belgium, United States and United Kingdom. Natalia Dyubankova's co-authors include Eveline Lescrinier, Piet Herdewijn, Jörg K. Wegner, Wim Van den Ende, Jonas Verhoeven, Ramil Nugmanov, Jan Tytgat, Steve Peigneur, Servaas Michielssens and Elżbieta Sochacka and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Experimental Botany and Chemistry - A European Journal.

In The Last Decade

Co-authorship network of co-authors of Natalia Dyubankova i

Fields of papers citing papers by Natalia Dyubankova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Dyubankova. 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 Natalia Dyubankova. The network helps show where Natalia Dyubankova may publish in the future.

Countries citing papers authored by Natalia Dyubankova

Since Specialization
Citations

This map shows the geographic impact of Natalia Dyubankova'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 Natalia Dyubankova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Dyubankova 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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2025