Tomoko Matsubara

24 papers and 398 indexed citations i.

About

Tomoko Matsubara is a scholar working on Physiology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tomoko Matsubara has authored 24 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tomoko Matsubara’s work include AI in cancer detection (6 papers), Adipose Tissue and Metabolism (4 papers) and Digital Radiography and Breast Imaging (3 papers). Tomoko Matsubara is often cited by papers focused on AI in cancer detection (6 papers), Adipose Tissue and Metabolism (4 papers) and Digital Radiography and Breast Imaging (3 papers). Tomoko Matsubara collaborates with scholars based in Japan, United States and Vietnam. Tomoko Matsubara's co-authors include Song‐Gyu Ra, Nobuhiko Akazawa, Seiji Maeda, Youngju Choi, Brenton T. Laing, Hiroshi Kumagai, Huang Hu, Satoshi Oikawa, Hiroshi Fujita and Asako Miyaki and has published in prestigious journals such as PLoS ONE, Scientific Reports and Life Sciences.

In The Last Decade

Co-authorship network of co-authors of Tomoko Matsubara i

Fields of papers citing papers by Tomoko Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomoko Matsubara

Since Specialization
Citations

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