Mika Tokumoto

31 papers and 741 indexed citations i.

About

Mika Tokumoto is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Mika Tokumoto has authored 31 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Physiology. Recurrent topics in Mika Tokumoto’s work include Ubiquitin and proteasome pathways (14 papers), Reproductive biology and impacts on aquatic species (8 papers) and Reproductive Biology and Fertility (7 papers). Mika Tokumoto is often cited by papers focused on Ubiquitin and proteasome pathways (14 papers), Reproductive biology and impacts on aquatic species (8 papers) and Reproductive Biology and Fertility (7 papers). Mika Tokumoto collaborates with scholars based in Japan, United States and Canada. Mika Tokumoto's co-authors include Toshinobu Tokumoto, Yoshitaka Nagahama, Ryo Horiguchi, Peter Thomas, Katsutoshi Ishikawa, Keiichi Uyemura, Hitoshi Okamoto, T Tsubokawa, Toshiya Yamaguchi and Masakane Yamashita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Mika Tokumoto i

Fields of papers citing papers by Mika Tokumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mika Tokumoto

Since Specialization
Citations

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