Takahisa Taguchi
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Biomedical Engineering top 10%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Kazuyuki KiyosueDan V. NicolauSuguru N. KudohTadahiro NumakawaSusumu YoshikawaMichiki KasaiHiroshi KunugiYumiko Numakawa
- Topics
- Neuroscience and Neuropharmacology Research (26 papers)Neuroscience and Neural Engineering (22 papers)Photoreceptor and optogenetics research (18 papers)
In The Last Decade
Takahisa Taguchi
137 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 864
- Biomedical Engineering 469
- Materials Chemistry 440
- Electrical and Electronic Engineering 345
Countries citing papers authored by Takahisa Taguchi
This map shows the geographic impact of Takahisa Taguchi'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 Takahisa Taguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahisa Taguchi more than expected).
Fields of papers citing papers by Takahisa Taguchi
This network shows the impact of papers produced by Takahisa Taguchi. 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 Takahisa Taguchi. The network helps show where Takahisa Taguchi may publish in the future.
Co-authorship network of co-authors of Takahisa Taguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Takahisa Taguchi. A scholar is included among the top collaborators of Takahisa Taguchi 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 Takahisa Taguchi. Takahisa Taguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 45 | |
| 4 | 3 | |
| 5 | 26 | |
| 6 | 74 | |
| 7 | 8 | |
| 8 | 18 | |
| 9 | Ultrastructure of the magnetite crystal chains in Magnetospirillum magnetotacticum (MS-1): Evidence from TEM tomography for cytoskeletal supporting structures | 3 |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | Molecular Recognition Using Short Peptides and Its Detection by Surface Plasmon Resonance Spectroscopy | 1 |
| 15 | 4 | |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 12 | |
| 20 | [Effect of a long-acting analgesic, buprenorphine on cancer pain--a single-blind crossover comparison with pentazocine]. | 4 |
About Takahisa Taguchi
Takahisa Taguchi is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Bioengineering, having authored 147 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (26 papers), Neuroscience and Neural Engineering (22 papers) and Photoreceptor and optogenetics research (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (864 citations), Developmental Neuroscience (123 citations) and Physiology (115 citations). Takahisa Taguchi has collaborated with scholars based in Japan, Australia and Russia. Frequent co-authors include Kazuyuki Kiyosue, Dan V. Nicolau, Suguru N. Kudoh, Tadahiro Numakawa, Susumu Yoshikawa, Michiki Kasai, Hiroshi Kunugi, Yumiko Numakawa, Yuko Tanaka and Masahiro Fujiwara. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.
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.