Ikuma Hamada
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Neurology top 5%
- Biomedical Engineering
- Co-authors
- M. R. DeLongNaomi HasegawaHironobu TokunoAtsushi NambuMichiko ImanishiToshikazu AkazawaYôko IkeuchiHitoshi Kita
- Topics
- Neurological disorders and treatments (18 papers)Parkinson's Disease Mechanisms and Treatments (9 papers)Motor Control and Adaptation (8 papers)
- Partner nations
- JapanUnited StatesBulgaria
In The Last Decade
Ikuma Hamada
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 63
- Neurology 939
- Cellular and Molecular Neuroscience 784
- Cognitive Neuroscience 760
- Neurology 286
- Biomedical Engineering 118
Countries citing papers authored by Ikuma Hamada
This map shows the geographic impact of Ikuma Hamada'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 Ikuma Hamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuma Hamada more than expected).
Fields of papers citing papers by Ikuma Hamada
This network shows the impact of papers produced by Ikuma Hamada. 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 Ikuma Hamada. The network helps show where Ikuma Hamada may publish in the future.
Co-authorship network of co-authors of Ikuma Hamada
This figure shows the co-authorship network connecting the top 25 collaborators of Ikuma Hamada. A scholar is included among the top collaborators of Ikuma Hamada 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 Ikuma Hamada. Ikuma Hamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 18 | |
| 3 | 10 | |
| 4 | [Unilateral subthalamic stimulation for early-stage Parkinson's disease]. | 9 |
| 5 | 74 | |
| 6 | 116 | |
| 7 | [Comparison and examination of stereotactic surgical complications in movement disorders]. | 6 |
| 8 | 4 | |
| 9 | 117 | |
| 10 | 9 | |
| 11 | 15 | |
| 12 | 16 | |
| 13 | 72 | |
| 14 | 35 | |
| 15 | 11 | |
| 16 | 58 | |
| 17 | 30 | |
| 18 | 7 | |
| 19 | 50 | |
| 20 | Visual tracking and neuron activity in the post-arcuate area in monkeys. | 103 |
About Ikuma Hamada
Ikuma Hamada is a scholar working on Neurology, Neurology and Cognitive Neuroscience, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurological disorders and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Motor Control and Adaptation (8 papers). The work is most often cited by research in Neurology (939 citations), Cellular and Molecular Neuroscience (784 citations) and Cognitive Neuroscience (760 citations). Ikuma Hamada has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include M. R. DeLong, Naomi Hasegawa, Hironobu Tokuno, Atsushi Nambu, Michiko Imanishi, Toshikazu Akazawa, Yôko Ikeuchi, Hitoshi Kita, Kinziro Kubota and Kisou Kubota. Their work appears in journals such as Neurology, The Journal of Comparative Neurology and Journal of Neurophysiology.
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.