Munetaka Matoba

About

Munetaka Matoba is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Munetaka Matoba has authored 51 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Munetaka Matoba’s work include Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (24 papers) and Medical Imaging Techniques and Applications (11 papers). Munetaka Matoba is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (24 papers) and Medical Imaging Techniques and Applications (11 papers). Munetaka Matoba collaborates with scholars based in Japan. Munetaka Matoba's co-authors include Hisao Tonami, Hajime Yokota, Itaru Yamamoto, Kotaro Higashi, Katsuo Usuda, Yasuaki Kuginuki, Susumu Sugai, Yoshimichi Ueda, Hirohisa Toga and Nozomu Motono and has published in prestigious journals such as Radiology, American Journal of Roentgenology and The Annals of Thoracic Surgery.

In The Last Decade

Co-authorship network of co-authors of Munetaka Matoba i

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Fields of papers citing papers by Munetaka Matoba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Munetaka Matoba

Since Specialization

Citations

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