Dai Kusumoto

18 papers and 923 indexed citations i.

About

Dai Kusumoto is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Dai Kusumoto has authored 18 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Physiology. Recurrent topics in Dai Kusumoto’s work include Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Muscle Physiology and Disorders (3 papers). Dai Kusumoto is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Muscle Physiology and Disorders (3 papers). Dai Kusumoto collaborates with scholars based in Japan, United States and Germany. Dai Kusumoto's co-authors include Shinsuke Yuasa, Hisayuki Hashimoto, Keiichi Fukuda, Tomohisa Seki, Toru Egashira, Masaki Kodaira, Shugo Tohyama, Hiroyuki Yamakawa, Kojiro Yae and Mayumi Oda and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Dai Kusumoto i

Fields of papers citing papers by Dai Kusumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai Kusumoto

Since Specialization
Citations

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