Yuki Shibata

46 papers and 476 indexed citations i.

About

Yuki Shibata is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yuki Shibata has authored 46 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Genetics and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yuki Shibata’s work include Thyroid Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Sex Determination and Differentiation in Organisms (6 papers). Yuki Shibata is often cited by papers focused on Thyroid Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Sex Determination and Differentiation in Organisms (6 papers). Yuki Shibata collaborates with scholars based in Japan, United States and China. Yuki Shibata's co-authors include Yun‐Bo Shi, Hongen Zhang, Luan Wen, Liezhen Fu, Morihiro Okada, Reiko Okada, Masakazu Suzuki, Masanori Takaoka, Dan Su and Shuhei Kobuchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Yuki Shibata i

Fields of papers citing papers by Yuki Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuki Shibata

Since Specialization
Citations

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