Hidetoshi Urakubo
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Neurology
- Co-authors
- Shin IshiiHaruo KasaiSho YagishitaGraham C. R. Ellis‐DaviesAkiko Hayashi‐TakagiShinya KurodaRobert C. FroemkeShigeyuki Oba
- Topics
- Neuroscience and Neuropharmacology Research (12 papers)Neural dynamics and brain function (11 papers)Advanced Memory and Neural Computing (5 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Hidetoshi Urakubo
25 papers receiving 698 citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 423
- Cognitive Neuroscience 352
- Molecular Biology 209
- Electrical and Electronic Engineering 88
- Neurology 53
Countries citing papers authored by Hidetoshi Urakubo
This map shows the geographic impact of Hidetoshi Urakubo'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 Hidetoshi Urakubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetoshi Urakubo more than expected).
Fields of papers citing papers by Hidetoshi Urakubo
This network shows the impact of papers produced by Hidetoshi Urakubo. 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 Hidetoshi Urakubo. The network helps show where Hidetoshi Urakubo may publish in the future.
Co-authorship network of co-authors of Hidetoshi Urakubo
This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Urakubo. A scholar is included among the top collaborators of Hidetoshi Urakubo 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 Hidetoshi Urakubo. Hidetoshi Urakubo 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 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 55 | |
| 9 | 18 | |
| 10 | 29 | |
| 11 | 3 | |
| 12 | 401 | |
| 13 | An explanation of an afterimage rotation illusion by focusing time of retinal ON/OFF response | 1 |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 6 | |
| 18 | 14 | |
| 19 | 53 | |
| 20 | 10 |
About Hidetoshi Urakubo
Hidetoshi Urakubo is a scholar working on Structural Biology, Biophysics and Cognitive Neuroscience, having authored 27 papers that have together received 706 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (11 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (423 citations), Cognitive Neuroscience (352 citations) and Structural Biology (17 citations). Hidetoshi Urakubo has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Shin Ishii, Haruo Kasai, Sho Yagishita, Graham C. R. Ellis‐Davies, Akiko Hayashi‐Takagi, Shinya Kuroda, Robert C. Froemke, Shigeyuki Oba, Yoshiyuki Kubota and Keiko Tanaka. Their work appears in journals such as Science, Journal of Neuroscience and PLoS ONE.
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.