Kunio Doi

16 papers and 822 indexed citations i.

About

Kunio Doi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Kunio Doi has authored 16 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. Recurrent topics in Kunio Doi’s work include COVID-19 diagnosis using AI (6 papers), AI in cancer detection (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Kunio Doi is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), AI in cancer detection (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Kunio Doi collaborates with scholars based in United States and Germany. Kunio Doi's co-authors include Heber MacMahon, Robert A. Schmidt, Maryellen L. Giger, Charles E. Metz, Carl J. Vyborny, F Yin, Shigehiko Katsuragawa, Heang‐Ping Chan, Kwok L. Lam and Shigeru Sanada and has published in prestigious journals such as Radiology, Medical Physics and Investigative Radiology.

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