Takamasa Uekita

34 papers and 1.2k indexed citations i.

About

Takamasa Uekita is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Takamasa Uekita has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Cell Biology. Recurrent topics in Takamasa Uekita’s work include Cell Adhesion Molecules Research (11 papers), Peptidase Inhibition and Analysis (10 papers) and Protease and Inhibitor Mechanisms (9 papers). Takamasa Uekita is often cited by papers focused on Cell Adhesion Molecules Research (11 papers), Peptidase Inhibition and Analysis (10 papers) and Protease and Inhibitor Mechanisms (9 papers). Takamasa Uekita collaborates with scholars based in Japan, United Kingdom and India. Takamasa Uekita's co-authors include Ryuichi Sakai, Motoharu Seiki, Yoshifumi Itoh, Hiroshi Ohno, Ikuo Yana, Yuri Miyazawa, Hiroshi Sato, Satoko Fujii, Yae Kanai and Lin Jia and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Takamasa Uekita i

Fields of papers citing papers by Takamasa Uekita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takamasa Uekita

Since Specialization
Citations

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