Keiko Kuriyama

96 papers and 2.8k indexed citations i.

About

Keiko Kuriyama is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Keiko Kuriyama has authored 96 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Pulmonary and Respiratory Medicine, 36 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Surgery. Recurrent topics in Keiko Kuriyama’s work include Lung Cancer Diagnosis and Treatment (36 papers), Medical Imaging and Pathology Studies (28 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Keiko Kuriyama is often cited by papers focused on Lung Cancer Diagnosis and Treatment (36 papers), Medical Imaging and Pathology Studies (28 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Keiko Kuriyama collaborates with scholars based in Japan, United States and South Korea. Keiko Kuriyama's co-authors include Ken Kodama, C Kuroda, Masahiko Higashiyama, Shoji Kido, Noriyuki Tomiyama, Tsutomu Kasugai, Y Narumi, Masahiko Kusumoto, Hideoki Yokouchi and Koji Takami and has published in prestigious journals such as Cancer, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of Keiko Kuriyama i

Fields of papers citing papers by Keiko Kuriyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keiko Kuriyama

Since Specialization
Citations

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