Keiko Sugai

27 papers and 959 indexed citations i.

About

Keiko Sugai is a scholar working on Molecular Biology, Developmental Neuroscience and Physiology. According to data from OpenAlex, Keiko Sugai has authored 27 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Developmental Neuroscience and 6 papers in Physiology. Recurrent topics in Keiko Sugai’s work include Pluripotent Stem Cells Research (12 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Spinal Cord Injury Research (6 papers). Keiko Sugai is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Spinal Cord Injury Research (6 papers). Keiko Sugai collaborates with scholars based in Japan and United States. Keiko Sugai's co-authors include Masaya Nakamura, Hideyuki Okano, Morio Matsumoto, Jun Kohyama, Akio Iwanami, Soya Kawabata, Go Itakura, Yuichiro Nishiyama, Narihito Nagoshi and Soraya Nishimura and has published in prestigious journals such as The Journal of Cell Biology, Scientific Reports and Journal of the American Geriatrics Society.

In The Last Decade

Co-authorship network of co-authors of Keiko Sugai i

Fields of papers citing papers by Keiko Sugai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keiko Sugai

Since Specialization
Citations

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