Seiki Ito

121 papers and 2.1k indexed citations i.

About

Seiki Ito is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Seiki Ito has authored 121 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Surgery and 24 papers in Epidemiology. Recurrent topics in Seiki Ito’s work include Neuropeptides and Animal Physiology (18 papers), Neuroendocrine Tumor Research Advances (16 papers) and Chronic Kidney Disease and Diabetes (16 papers). Seiki Ito is often cited by papers focused on Neuropeptides and Animal Physiology (18 papers), Neuroendocrine Tumor Research Advances (16 papers) and Chronic Kidney Disease and Diabetes (16 papers). Seiki Ito collaborates with scholars based in Japan, United States and Italy. Seiki Ito's co-authors include Takuma Narita, Masafumi Kakei, Hiroki Fujita, Akira Shibata, Takashi Shimotomai, Jun Koshimura, Naomi Yoshioka, Tsukasa Morii, Mihoko Hosoba and Hiromi Fujishima and has published in prestigious journals such as Diabetes Care, Cancer and Macromolecules.

In The Last Decade

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

Fields of papers citing papers by Seiki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seiki Ito

Since Specialization
Citations

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