Saya Ito

62 papers and 1.9k indexed citations i.

About

Saya Ito is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saya Ito has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saya Ito’s work include Prostate Cancer Treatment and Research (9 papers), Genomics and Chromatin Dynamics (7 papers) and Estrogen and related hormone effects (6 papers). Saya Ito is often cited by papers focused on Prostate Cancer Treatment and Research (9 papers), Genomics and Chromatin Dynamics (7 papers) and Estrogen and related hormone effects (6 papers). Saya Ito collaborates with scholars based in Japan, United States and Saudi Arabia. Saya Ito's co-authors include Shigeaki Kato, Eriko Suzuki, Shun Sawatsubashi, Ken‐ichi Takeyama, Takashi Furutani, Yue Zhao, Ken-ichi Takeyama, Tazro Ohta, Alexander Kouzmenko and Tetsuya Tabata and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Saya Ito i

Fields of papers citing papers by Saya Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saya Ito

Since Specialization
Citations

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