Yuka Kiriyama

31 papers and 483 indexed citations i.

About

Yuka Kiriyama is a scholar working on Oncology, Surgery and Artificial Intelligence. According to data from OpenAlex, Yuka Kiriyama has authored 31 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Surgery and 9 papers in Artificial Intelligence. Recurrent topics in Yuka Kiriyama’s work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Yuka Kiriyama is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). Yuka Kiriyama collaborates with scholars based in Japan, United States and China. Yuka Kiriyama's co-authors include Tetsuya Tsukamoto, Atsushi Teramoto, Hiroshi Fujita, Kazuyoshi Imaizumi, Kuniaki Saito, Takeshi Toyoda, Xueyuan Cao, Makoto Kuroda, Masae Tatematsu and Makoto Urano and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Yuka Kiriyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuka Kiriyama

Since Specialization
Citations

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