Takako Takeda
- Molecular Biology
- Physiology top 5%
- Computational Theory and Mathematics top 2%
- Biomaterials top 10%
- Materials Chemistry
- Co-authors
- Dmitri K. KlimovHironobu NaikiKeiichi HiguchiK NakakukiE. Prabhu RamanStephen H. BryantTiejun ChengYanli Wang
- Topics
- Protein Structure and Dynamics (18 papers)Alzheimer's disease research and treatments (12 papers)Supramolecular Self-Assembly in Materials (6 papers)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Takako Takeda
23 papers receiving 833 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 616
- Physiology 480
- Computational Theory and Mathematics 302
- Biomaterials 140
- Materials Chemistry 89
Countries citing papers authored by Takako Takeda
This map shows the geographic impact of Takako Takeda'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 Takako Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takako Takeda more than expected).
Fields of papers citing papers by Takako Takeda
This network shows the impact of papers produced by Takako Takeda. 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 Takako Takeda. The network helps show where Takako Takeda may publish in the future.
Co-authorship network of co-authors of Takako Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Takako Takeda. A scholar is included among the top collaborators of Takako Takeda 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 Takako Takeda. Takako Takeda 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 | 3 | |
| 3 | 96 | |
| 4 | 37 | |
| 5 | 12 | |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 41 | |
| 11 | 29 | |
| 12 | 51 | |
| 13 | 45 | |
| 14 | 92 | |
| 15 | 51 | |
| 16 | 37 | |
| 17 | 19 | |
| 18 | 22 | |
| 19 | 14 | |
| 20 | 26 |
About Takako Takeda
Takako Takeda is a scholar working on Physiology, Biomaterials and Molecular Biology, having authored 24 papers that have together received 843 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), Alzheimer's disease research and treatments (12 papers) and Supramolecular Self-Assembly in Materials (6 papers). The work is most often cited by research in Computational Theory and Mathematics (302 citations), Physiology (480 citations) and Biomaterials (140 citations). Takako Takeda has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Dmitri K. Klimov, Hironobu Naiki, Keiichi Higuchi, K Nakakuki, E. Prabhu Raman, Stephen H. Bryant, Tiejun Cheng, Yanli Wang, Ming Hao and Wenling E. Chang. Their work appears in journals such as The Journal of Chemical Physics, ACS Nano and Bioinformatics.
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.