Systems Biology Institute

976 papers and 38.5k indexed citations i.

About

In recent decades, authors affiliated with Systems Biology Institute have published 976 papers, which have received a total of 38.5k indexed citations. Scholars at this organization have produced 630 papers in Molecular Biology, 144 papers in Immunology and 116 papers in Genetics on the topics of RNA and protein synthesis mechanisms (135 papers), Gene Regulatory Network Analysis (82 papers) and RNA modifications and cancer (69 papers). Their work is cited by papers focused on Molecular Biology (23.2k citations), Immunology (6.5k citations) and Genetics (3.3k citations). Authors at Systems Biology Institute collaborate with scholars in Japan, United States and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of Systems Biology Institute's most productive authors include Hiroaki Kitano, Shigeyuki Yokoyama, Kanae Oda, Yukiko Matsuoka, Kunihiko Kaneko, Mikako Shirouzu, Yoichiro Iwakura, Akira Funahashi, Samik Ghosh and T. Kigawa.

In The Last Decade

Fields of papers published by authors at Systems Biology Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Systems Biology Institute at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Systems Biology Institute at the time of their publication.

Countries citing scholars working at Systems Biology Institute

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Systems Biology Institute. 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 papers produced at Systems Biology Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Systems Biology Institute 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