Tomoyuki Sugimoto

48 papers and 850 indexed citations i.

About

Tomoyuki Sugimoto is a scholar working on Statistics and Probability, Management Science and Operations Research and Pathology and Forensic Medicine. According to data from OpenAlex, Tomoyuki Sugimoto has authored 48 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Management Science and Operations Research and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Tomoyuki Sugimoto’s work include Statistical Methods in Clinical Trials (12 papers), Optimal Experimental Design Methods (10 papers) and Multiple Sclerosis Research Studies (7 papers). Tomoyuki Sugimoto is often cited by papers focused on Statistical Methods in Clinical Trials (12 papers), Optimal Experimental Design Methods (10 papers) and Multiple Sclerosis Research Studies (7 papers). Tomoyuki Sugimoto collaborates with scholars based in Japan, United States and United Kingdom. Tomoyuki Sugimoto's co-authors include Toshimitsu Hamasaki, Takashi Sozu, Yuji Nakatsuji, Scott Evans, Saburo Sakoda, Kazushiro Takata, Makoto Kinoshita, Atsushi Kumanogoh, Josephe A. Honorat and Tatsusada Okuno and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Tomoyuki Sugimoto i

Fields of papers citing papers by Tomoyuki Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomoyuki Sugimoto

Since Specialization
Citations

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