Makoto Takada
- Biomedical Engineering top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Co-authors
- Hiroyoshi NaitoYuki YamamotoTakayuki ArieKuniharu TakeiDaisuke YamamotoSeiji AkitaHideo HayashiMasaaki Hosomi
- Topics
- Neurobiology and Insect Physiology Research (20 papers)Ion channel regulation and function (17 papers)Organic Electronics and Photovoltaics (8 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Makoto Takada
68 papers receiving 728 citations
Peers
Comparison fields: 5 of 111
- Biomedical Engineering 255
- Molecular Biology 161
- Electrical and Electronic Engineering 154
- Cellular and Molecular Neuroscience 153
- Polymers and Plastics 117
Countries citing papers authored by Makoto Takada
This map shows the geographic impact of Makoto Takada'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 Makoto Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Takada more than expected).
Fields of papers citing papers by Makoto Takada
This network shows the impact of papers produced by Makoto Takada. 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 Makoto Takada. The network helps show where Makoto Takada may publish in the future.
Co-authorship network of co-authors of Makoto Takada
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Takada. A scholar is included among the top collaborators of Makoto Takada 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 Makoto Takada. Makoto Takada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 41 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 8 | |
| 20 | Distribution of cadmium in the cross-section of cadmium treated abdominal skin of a bullfrog. Analysis of Cd with an electron probe X-ray microanalyzer.:Analysis of Cd with an Electron Probe X-ray Microanalyzer | 1 |
About Makoto Takada
Makoto Takada is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Endocrine and Autonomic Systems, having authored 72 papers that have together received 747 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (20 papers), Ion channel regulation and function (17 papers) and Organic Electronics and Photovoltaics (8 papers). The work is most often cited by research in Polymers and Plastics (117 citations), Cellular and Molecular Neuroscience (153 citations) and Sensory Systems (29 citations). Makoto Takada has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroyoshi Naito, Yuki Yamamoto, Takayuki Arie, Kuniharu Takei, Daisuke Yamamoto, Seiji Akita, Hideo Hayashi, Masaaki Hosomi, Shinji Komazaki and S. Nakai. Their work appears in journals such as Journal of Applied Physics, Brain Research and Chemosphere.
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.