Dai Shiba

14 papers and 609 indexed citations i.

About

Dai Shiba is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Dai Shiba has authored 14 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Physiology. Recurrent topics in Dai Shiba’s work include Genetic and Kidney Cyst Diseases (7 papers), Renal and related cancers (5 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Dai Shiba is often cited by papers focused on Genetic and Kidney Cyst Diseases (7 papers), Renal and related cancers (5 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Dai Shiba collaborates with scholars based in Japan and United States. Dai Shiba's co-authors include Takahiko Yokoyama, Norio Shimamoto, Yasuhiro Ishihara, Tetsuro Takamatsu, Hisashi Koga, Danielle K. Manning, David R. Beier, Hiroshi Hamada, Yoshihisa Yamaoka and Haruo Hagiwara and has published in prestigious journals such as Journal of Neuroscience, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Co-authorship network of co-authors of Dai Shiba i

Fields of papers citing papers by Dai Shiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai Shiba

Since Specialization
Citations

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