Takehiro Tawara
- Biophysics top 0.5%
- Molecular Biology
- Biomedical Engineering
- Cellular and Molecular Neuroscience top 10%
- Cell Biology
- Co-authors
- Hideo YokotaHiroki R. UedaChihiro YokoyamaYoshihiro ShimizuHiroshi KiyonariAtsushi MiyawakiTomonobu M. WatanabeDimitri Perrin
- Topics
- Computer Graphics and Visualization Techniques (7 papers)Advanced Vision and Imaging (6 papers)3D Shape Modeling and Analysis (4 papers)
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Takehiro Tawara
15 papers receiving 993 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Biophysics 460
- Molecular Biology 380
- Biomedical Engineering 207
- Cellular and Molecular Neuroscience 140
- Cell Biology 95
Countries citing papers authored by Takehiro Tawara
This map shows the geographic impact of Takehiro Tawara'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 Takehiro Tawara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiro Tawara more than expected).
Fields of papers citing papers by Takehiro Tawara
This network shows the impact of papers produced by Takehiro Tawara. 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 Takehiro Tawara. The network helps show where Takehiro Tawara may publish in the future.
Co-authorship network of co-authors of Takehiro Tawara
This figure shows the co-authorship network connecting the top 25 collaborators of Takehiro Tawara. A scholar is included among the top collaborators of Takehiro Tawara 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 Takehiro Tawara. Takehiro Tawara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysisbreakdown → | 910 |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | Exploiting Temporal Coherence in Global Illumination (an invited paper) | 1 |
| 11 | 10 | |
| 12 | Localizing the Final Gathering for Dynamic Scenes using the Photon Map | 8 |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 25 |
About Takehiro Tawara
Takehiro Tawara is a scholar working on Computer Graphics and Computer-Aided Design, Biophysics and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Advanced Vision and Imaging (6 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Biophysics (460 citations), Computer Graphics and Computer-Aided Design (75 citations) and Structural Biology (28 citations). Takehiro Tawara has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Hideo Yokota, Hiroki R. Ueda, Chihiro Yokoyama, Yoshihiro Shimizu, Hiroshi Kiyonari, Atsushi Miyawaki, Tomonobu M. Watanabe, Dimitri Perrin, Takaya Abe and Hirotaka Onoe. Their work appears in journals such as Cell, Nucleic Acids Research and The Journal Of Hand Surgery.
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.