Kunio Doi

70 papers and 1.5k indexed citations i.

About

Kunio Doi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Kunio Doi has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Genetics. Recurrent topics in Kunio Doi’s work include AI in cancer detection (12 papers), Virus-based gene therapy research (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Kunio Doi is often cited by papers focused on AI in cancer detection (12 papers), Virus-based gene therapy research (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Kunio Doi collaborates with scholars based in Japan, United States and Argentina. Kunio Doi's co-authors include Maryellen L. Giger, Robert M. Nishikawa, Shigehiko Katsuragawa, Heber MacMahon, Takayuki Ishida, Charles E. Metz, Heber MacMahon, Yulei Jiang, Robert A. Schmidt and Kazuto Ashizawa and has published in prestigious journals such as Nature Genetics, Radiology and Journal of neurosurgery.

In The Last Decade

Co-authorship network of co-authors of Kunio Doi i

Fields of papers citing papers by Kunio Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kunio Doi

Since Specialization
Citations

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