Seiji Miyata
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Endocrine and Autonomic Systems top 1%
- Social Psychology top 2%
- Co-authors
- Shoko MoritaToshikazu KiyoharaToshihiro NakashimaEriko FurubeShohei MaékawaGlenn I. HattonTakashi HashimotoWataru Matsunaga
- Topics
- Neuroendocrine regulation and behavior (25 papers)Neurogenesis and neuroplasticity mechanisms (25 papers)Neuroinflammation and Neurodegeneration Mechanisms (22 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Seiji Miyata
123 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 860
- Cellular and Molecular Neuroscience 710
- Neurology 688
- Endocrine and Autonomic Systems 643
- Social Psychology 510
Countries citing papers authored by Seiji Miyata
This map shows the geographic impact of Seiji Miyata'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 Seiji Miyata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Miyata more than expected).
Fields of papers citing papers by Seiji Miyata
This network shows the impact of papers produced by Seiji Miyata. 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 Seiji Miyata. The network helps show where Seiji Miyata may publish in the future.
Co-authorship network of co-authors of Seiji Miyata
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Miyata. A scholar is included among the top collaborators of Seiji Miyata 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 Seiji Miyata. Seiji Miyata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | 88 | |
| 8 | 15 | |
| 9 | 55 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | 53 | |
| 13 | Localization of fibroinase in the silk gland of domesticated silkworm, Bombyx mori, wild silkmoths, Samia cynthia ricini and Antheraea pernyi studied by confocal laser scanning microscopy | 6 |
| 14 | 11 | |
| 15 | 59 | |
| 16 | 7 | |
| 17 | 19 | |
| 18 | 1 | |
| 19 | Pattern of adrenergic innervation to scale erythrophores of the swordtail, Xiphophorus helleri | 4 |
| 20 | Innervation and responsiveness of melanophores in regenerating scales of the Medaka, Oryzias latipes | 1 |
About Seiji Miyata
Seiji Miyata is a scholar working on Developmental Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 125 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (25 papers), Neurogenesis and neuroplasticity mechanisms (25 papers) and Neuroinflammation and Neurodegeneration Mechanisms (22 papers). The work is most often cited by research in Endocrine and Autonomic Systems (643 citations), Developmental Neuroscience (371 citations) and Neurology (688 citations). Seiji Miyata has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Shoko Morita, Toshikazu Kiyohara, Toshihiro Nakashima, Eriko Furube, Shohei Maékawa, Glenn I. Hatton, Takashi Hashimoto, Wataru Matsunaga, Noriko Hayashi and Mitsuhiro Morita. Their work appears in journals such as PLoS ONE, The Journal of Comparative Neurology and Scientific Reports.
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.