Toshimasa Matsumoto

22 papers and 205 indexed citations i.

About

Toshimasa Matsumoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Epidemiology. According to data from OpenAlex, Toshimasa Matsumoto has authored 22 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Toshimasa Matsumoto’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiac Imaging and Diagnostics (4 papers) and COVID-19 diagnosis using AI (4 papers). Toshimasa Matsumoto is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiac Imaging and Diagnostics (4 papers) and COVID-19 diagnosis using AI (4 papers). Toshimasa Matsumoto collaborates with scholars based in Japan. Toshimasa Matsumoto's co-authors include Daiju Ueda, Yukio Miki, Shannon L. Walston, Akira Yamamoto, Shoichi Ehara, Yasuhito Mitsuyama, Akitoshi Shimazaki, Nobuhide Oshitani, Atsuo Kitano and Suguru Nakamura and has published in prestigious journals such as JAMA, Scientific Reports and Radiology.

In The Last Decade

Co-authorship network of co-authors of Toshimasa Matsumoto i

Fields of papers citing papers by Toshimasa Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Toshimasa Matsumoto

Since Specialization
Citations

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