Takahisa Hanada
- Cellular and Molecular Neuroscience top 2%
- Psychiatry and Mental health top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Organic Chemistry
- Co-authors
- Michael A. RogawskiOsamu TakenakaMakoto OhgohYutaka HashizumeShinji HatakeyamaAichi OgasawaraN. KohmuraYukio Nishizawa
- Topics
- Neuroscience and Neuropharmacology Research (13 papers)Epilepsy research and treatment (11 papers)Ion channel regulation and function (5 papers)
- Cited by
- Cellular and Molecular NeurosciencePsychiatry and Mental healthPediatrics, Perinatology and Child Health
- Partner nations
- JapanUnited States
In The Last Decade
Takahisa Hanada
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 698
- Psychiatry and Mental health 555
- Pediatrics, Perinatology and Child Health 388
- Molecular Biology 342
- Organic Chemistry 136
Countries citing papers authored by Takahisa Hanada
This map shows the geographic impact of Takahisa Hanada'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 Hanada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahisa Hanada more than expected).
Fields of papers citing papers by Takahisa Hanada
This network shows the impact of papers produced by Takahisa Hanada. 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 Hanada. The network helps show where Takahisa Hanada may publish in the future.
Co-authorship network of co-authors of Takahisa Hanada
This figure shows the co-authorship network connecting the top 25 collaborators of Takahisa Hanada. A scholar is included among the top collaborators of Takahisa Hanada 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 Hanada. Takahisa Hanada 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 | 177 | |
| 3 | 21 | |
| 4 | 60 | |
| 5 | 15 | |
| 6 | 25 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 26 | |
| 11 | 63 | |
| 12 | 25 | |
| 13 | 49 | |
| 14 | 1 | |
| 15 | 184 | |
| 16 | 146 | |
| 17 | 318 | |
| 18 | 54 |
About Takahisa Hanada
Takahisa Hanada is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Epilepsy research and treatment (11 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (698 citations), Psychiatry and Mental health (555 citations) and Pediatrics, Perinatology and Child Health (388 citations). Takahisa Hanada has collaborated with scholars based in Japan and United States. Frequent co-authors include Michael A. Rogawski, Osamu Takenaka, Makoto Ohgoh, Yutaka Hashizume, Shinji Hatakeyama, Aichi Ogasawara, N. Kohmura, Yukio Nishizawa, Naoki Tokuhara and Masataka Ueno. Their work appears in journals such as Neurology, Neuroscience and Journal of Medicinal Chemistry.
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.