Masayuki Tsuneki

52 papers and 1.3k indexed citations i.

About

Masayuki Tsuneki is a scholar working on Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masayuki Tsuneki has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 18 papers in Artificial Intelligence and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masayuki Tsuneki’s work include AI in cancer detection (18 papers), Colorectal Cancer Screening and Detection (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Masayuki Tsuneki is often cited by papers focused on AI in cancer detection (18 papers), Colorectal Cancer Screening and Detection (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Masayuki Tsuneki collaborates with scholars based in Japan, United States and China. Masayuki Tsuneki's co-authors include Fahdi Kanavati, Joseph A. Madri, Osamu Iizuka, Koji Arihiro, Satoshi Maruyama, Kei Kato, Takashi Saku, Jun Cheng, Manabu Yamazaki and Gouji Toyokawa and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Co-authorship network of co-authors of Masayuki Tsuneki i

Fields of papers citing papers by Masayuki Tsuneki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masayuki Tsuneki

Since Specialization
Citations

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