Yuka Tateisi

21 papers and 868 indexed citations i.

About

Yuka Tateisi is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Yuka Tateisi has authored 21 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Artificial Intelligence and 1 paper in General Health Professions. Recurrent topics in Yuka Tateisi’s work include Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (11 papers) and Natural Language Processing Techniques (10 papers). Yuka Tateisi is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (11 papers) and Natural Language Processing Techniques (10 papers). Yuka Tateisi collaborates with scholars based in Japan and United Kingdom. Yuka Tateisi's co-authors include Tomoko Ohta, J Tsujii, JD Kim, Jun’ichi Tsujii, Yusuke Miyao, Akane Yakushiji, Jin-Dong Kim, Daisuke Okanohara, Kanae Oda and Takuya Matsuzaki and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Yuka Tateisi i

Fields of papers citing papers by Yuka Tateisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuka Tateisi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025