Daisuke Komura

49 papers and 1.2k indexed citations i.

About

Daisuke Komura is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daisuke Komura has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daisuke Komura’s work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Imaging for Blood Diseases (6 papers). Daisuke Komura is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Imaging for Blood Diseases (6 papers). Daisuke Komura collaborates with scholars based in Japan, United States and United Kingdom. Daisuke Komura's co-authors include Shumpei Ishikawa, Shumpei Ishikawa, Hiroyuki Aburatani, Masashi Fukayama, Keith Jones, Hiroshi Nakamura, Akiko Kunita, Tetsuo Ushiku, Hiroto Katoh and Sigeo Ihara and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Daisuke Komura i

Fields of papers citing papers by Daisuke Komura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daisuke Komura

Since Specialization
Citations

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