Yuta Nakamura

28 papers and 210 indexed citations i.

About

Yuta Nakamura is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuta Nakamura has authored 28 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuta Nakamura’s work include Artificial Intelligence in Healthcare and Education (7 papers), Topic Modeling (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Yuta Nakamura is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Topic Modeling (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Yuta Nakamura collaborates with scholars based in Japan and Nepal. Yuta Nakamura's co-authors include Osamu Abe, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Soichiro Miki, T. Yoshikawa, Eiji Aramaki, Shoko Wakamiya, Ryo Kurokawa and Tomohiro Kikuchi and has published in prestigious journals such as Gastroenterology, Scientific Reports and Atherosclerosis.

In The Last Decade

Co-authorship network of co-authors of Yuta Nakamura i

Fields of papers citing papers by Yuta Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuta Nakamura

Since Specialization
Citations

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