Nataliya Sokolovska

29 papers and 1.8k indexed citations i.

About

Nataliya Sokolovska is a scholar working on Artificial Intelligence, Molecular Biology and Physiology. According to data from OpenAlex, Nataliya Sokolovska has authored 29 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Nataliya Sokolovska’s work include Bioinformatics and Genomic Networks (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Diet and metabolism studies (4 papers). Nataliya Sokolovska is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Diet and metabolism studies (4 papers). Nataliya Sokolovska collaborates with scholars based in France, United States and Germany. Nataliya Sokolovska's co-authors include Karine Clément, Judith Aron‐Wisnewsky, Salwa W. Rizkalla, Joël Doré, Edi Prifti, Ming Dao, Eric O. Verger, Brandon D. Kayser, Lesley Hoyles and Marc‐Emmanuel Dumas and has published in prestigious journals such as Nature Communications, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Co-authorship network of co-authors of Nataliya Sokolovska i

Fields of papers citing papers by Nataliya Sokolovska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nataliya Sokolovska

Since Specialization
Citations

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