Tomomi Yokota
- Modeling and Simulation top 0.1%
- Molecular Biology top 10%
- Cell Biology top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Co-authors
- Sachiko IshidaKiyotaka SekiKentarou FujieMichael WinklerMasaaki MizukamiNoboru OkazawaAkio ItoShingo Takeuchi
- Topics
- Mathematical Biology Tumor Growth (54 papers)Gene Regulatory Network Analysis (35 papers)Advanced Mathematical Modeling in Engineering (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications in Mathematical PhysicsJournal of Mathematical Analysis and Applications
In The Last Decade
Tomomi Yokota
80 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 55
- Modeling and Simulation 1.2k
- Molecular Biology 837
- Cell Biology 531
- Computational Theory and Mathematics 344
- Mathematical Physics 226
Countries citing papers authored by Tomomi Yokota
This map shows the geographic impact of Tomomi Yokota'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 Tomomi Yokota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomomi Yokota more than expected).
Fields of papers citing papers by Tomomi Yokota
This network shows the impact of papers produced by Tomomi Yokota. 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 Tomomi Yokota. The network helps show where Tomomi Yokota may publish in the future.
Co-authorship network of co-authors of Tomomi Yokota
This figure shows the co-authorship network connecting the top 25 collaborators of Tomomi Yokota. A scholar is included among the top collaborators of Tomomi Yokota based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomomi Yokota. Tomomi Yokota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 19 | |
| 12 | Existence of bounded global solutions for fully parabolic attraction-repulsion chemotaxis systems with signal-dependent sensitivities and without logistic source | 1 |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 9 | |
| 16 | 25 | |
| 17 | 13 | |
| 18 | Global attractors for a class of degenerate diffusion equations | 36 |
| 19 | 13 | |
| 20 | 0 |
About Tomomi Yokota
Tomomi Yokota is a scholar working on Modeling and Simulation, Mathematical Physics and Cell Biology, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (54 papers), Gene Regulatory Network Analysis (35 papers) and Advanced Mathematical Modeling in Engineering (24 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Cell Biology (531 citations) and Mathematical Physics (226 citations). Tomomi Yokota has collaborated with scholars based in Japan, Italy and Germany. Frequent co-authors include Sachiko Ishida, Kiyotaka Seki, Kentarou Fujie, Michael Winkler, Masaaki Mizukami, Noboru Okazawa, Akio Ito, Shingo Takeuchi, Yuya Tanaka and Toshiyuki Suzuki. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Journal of Mathematical Analysis and Applications.
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.