Takasi Senba

38 papers and 920 indexed citations i.

About

Takasi Senba is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Takasi Senba has authored 38 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Modeling and Simulation, 18 papers in Computational Theory and Mathematics and 13 papers in Molecular Biology. Recurrent topics in Takasi Senba’s work include Mathematical Biology Tumor Growth (31 papers), Advanced Mathematical Modeling in Engineering (18 papers) and Gene Regulatory Network Analysis (13 papers). Takasi Senba is often cited by papers focused on Mathematical Biology Tumor Growth (31 papers), Advanced Mathematical Modeling in Engineering (18 papers) and Gene Regulatory Network Analysis (13 papers). Takasi Senba collaborates with scholars based in Japan, Poland and Germany. Takasi Senba's co-authors include Takashi Suzuki, Kentarou Fujie, Toshitaka Nagai, Noriko Mizoguchi, Yūki Naito, Yoshikazu Giga, Messoud Efendiev and Tomasz Cieślak and has published in prestigious journals such as Archive for Rational Mechanics and Analysis, Journal of Differential Equations and Journal of Functional Analysis.

In The Last Decade

Co-authorship network of co-authors of Takasi Senba i

Fields of papers citing papers by Takasi Senba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takasi Senba

Since Specialization
Citations

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