Lana Yeganova

About

Lana Yeganova is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Lana Yeganova has authored 30 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Molecular Biology and 4 papers in Management Science and Operations Research. Recurrent topics in Lana Yeganova’s work include Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (11 papers) and Natural Language Processing Techniques (10 papers). Lana Yeganova is often cited by papers focused on Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (11 papers) and Natural Language Processing Techniques (10 papers). Lana Yeganova collaborates with scholars based in United States, Saudi Arabia and The Netherlands. Lana Yeganova's co-authors include W. John Wilbur, Sun Kim, Donald C. Comeau, Won Bae Kim, Haibin Liu, Zhiyong Lu, Rezarta Islamaj, Qiao Jin, Qingyu Chen and Xin Gao and has published in prestigious journals such as Bioinformatics, The American Journal of Human Genetics and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Lana Yeganova i

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Fields of papers citing papers by Lana Yeganova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lana Yeganova

Since Specialization

Citations

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