Daiki Umetsu

27 papers and 1.1k indexed citations i.

About

Daiki Umetsu is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daiki Umetsu has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Cell Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daiki Umetsu’s work include Developmental Biology and Gene Regulation (11 papers), Neurobiology and Insect Physiology Research (11 papers) and Cellular Mechanics and Interactions (10 papers). Daiki Umetsu is often cited by papers focused on Developmental Biology and Gene Regulation (11 papers), Neurobiology and Insect Physiology Research (11 papers) and Cellular Mechanics and Interactions (10 papers). Daiki Umetsu collaborates with scholars based in Japan, Germany and France. Daiki Umetsu's co-authors include Tetsuya Tabata, Tetsuo Yasugi, Christian Dahmann, Satoshi Murakami, Makoto Sato, Frank Jülicher, Benoît Aigouy, Suzanne Eaton, Atsushi Sugie and Thomas J. Widmann and has published in prestigious journals such as Nature Communications, Genes & Development and Nature Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Daiki Umetsu i

Fields of papers citing papers by Daiki Umetsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daiki Umetsu

Since Specialization
Citations

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