Masato Sumita

About

Masato Sumita is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Masato Sumita has authored 85 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 15 papers in Electrical and Electronic Engineering and 15 papers in Organic Chemistry. Recurrent topics in Masato Sumita’s work include Machine Learning in Materials Science (15 papers), Computational Drug Discovery Methods (13 papers) and Photochemistry and Electron Transfer Studies (10 papers). Masato Sumita is often cited by papers focused on Machine Learning in Materials Science (15 papers), Computational Drug Discovery Methods (13 papers) and Photochemistry and Electron Transfer Studies (10 papers). Masato Sumita collaborates with scholars based in Japan, Poland and Australia. Masato Sumita's co-authors include Akiko Yamamoto, Takao Hanawa, Yoshitaka Tateyama, Koji Tsuda, Swee Hin Teoh, Ryo Tamura, Kazuya Saito, Sachiko Hiromoto, A.‐P. Tsai and Takahisa Ohno and has published in prestigious journals such as The Journal of Chemical Physics, Accounts of Chemical Research and Applied Physics Letters.

In The Last Decade

Co-authorship network of co-authors of Masato Sumita i

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Fields of papers citing papers by Masato Sumita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masato Sumita

Since Specialization

Citations

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