Sayaka Ito

25 papers and 592 indexed citations i.

About

Sayaka Ito is a scholar working on Molecular Biology, Immunology and Sensory Systems. According to data from OpenAlex, Sayaka Ito has authored 25 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Immunology and 5 papers in Sensory Systems. Recurrent topics in Sayaka Ito’s work include Mast cells and histamine (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Sayaka Ito is often cited by papers focused on Mast cells and histamine (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Sayaka Ito collaborates with scholars based in Japan, Australia and United States. Sayaka Ito's co-authors include Tetsuo Kubota, Yukichi Hara, Shigeru Tokita, Nagaaki Sato, Takashi Mizutani, Tsuyoshi Nagase, Yuko Mitobe, Norihiro Takenaga, Yasuhisa Miyamoto and Shingo Suzuki and has published in prestigious journals such as PLoS ONE, Macromolecules and Journal of Medicinal Chemistry.

In The Last Decade

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

Fields of papers citing papers by Sayaka Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sayaka Ito

Since Specialization
Citations

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