Yutaka Akiyama

156 papers and 2.9k indexed citations i.

About

Yutaka Akiyama is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Yutaka Akiyama has authored 156 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 23 papers in Computational Theory and Mathematics and 14 papers in Oncology. Recurrent topics in Yutaka Akiyama’s work include Protein Structure and Dynamics (36 papers), Computational Drug Discovery Methods (23 papers) and Machine Learning in Bioinformatics (22 papers). Yutaka Akiyama is often cited by papers focused on Protein Structure and Dynamics (36 papers), Computational Drug Discovery Methods (23 papers) and Machine Learning in Bioinformatics (22 papers). Yutaka Akiyama collaborates with scholars based in Japan, United States and South Korea. Yutaka Akiyama's co-authors include Toshiyuki Sato, Masami Uebayasi, Tsuguchika Kaminuma, Tatsuya Nakano, Kazuo Kitaura, Masahito Ohue, Takashi Ishida, Kaori Fukuzawa, Yuri Matsuzaki and Kentaro Tomii and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Yutaka Akiyama i

Fields of papers citing papers by Yutaka Akiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yutaka Akiyama

Since Specialization
Citations

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