Mieko Matsui

29 papers and 832 indexed citations i.

About

Mieko Matsui is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mieko Matsui has authored 29 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Epidemiology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mieko Matsui’s work include Medical Image Segmentation Techniques (5 papers), Liver Diseases and Immunity (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Mieko Matsui is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Liver Diseases and Immunity (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Mieko Matsui collaborates with scholars based in Japan, South Korea and United States. Mieko Matsui's co-authors include Etsuro Mori, Nobutsugu Hirono, Makoto Sasaki, Masahiro Ida, Yoshiyuki Watanabe, Kei Yamada, Kazunari Ishii, Eri Shibata, Shunrou Fujiwara and Setsu Sakamoto and has published in prestigious journals such as Hepatology, Neurology and Annals of Neurology.

In The Last Decade

Co-authorship network of co-authors of Mieko Matsui i

Fields of papers citing papers by Mieko Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mieko Matsui

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025