Emiko Okuda‐Ashitaka
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Pharmacology top 2%
- Genetics
- Co-authors
- Seiji ItoToshiaki MinamiShinji MatsumuraOsamu HayaishiHidemaro MoriShinro TachibanaTamaki MabuchiTayo Katano
- Topics
- Pain Mechanisms and Treatments (33 papers)Neuropeptides and Animal Physiology (28 papers)Receptor Mechanisms and Signaling (20 papers)
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Emiko Okuda‐Ashitaka
62 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 1.2k
- Physiology 1.2k
- Pharmacology 389
- Genetics 161
Countries citing papers authored by Emiko Okuda‐Ashitaka
This map shows the geographic impact of Emiko Okuda‐Ashitaka'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 Emiko Okuda‐Ashitaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emiko Okuda‐Ashitaka more than expected).
Fields of papers citing papers by Emiko Okuda‐Ashitaka
This network shows the impact of papers produced by Emiko Okuda‐Ashitaka. 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 Emiko Okuda‐Ashitaka. The network helps show where Emiko Okuda‐Ashitaka may publish in the future.
Co-authorship network of co-authors of Emiko Okuda‐Ashitaka
This figure shows the co-authorship network connecting the top 25 collaborators of Emiko Okuda‐Ashitaka. A scholar is included among the top collaborators of Emiko Okuda‐Ashitaka 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 Emiko Okuda‐Ashitaka. Emiko Okuda‐Ashitaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Effects of Arginase II on Retinal Pigment Epithelial Cells in Gyrate Atrophy | 0 |
| 6 | 57 | |
| 7 | 47 | |
| 8 | 20 | |
| 9 | 33 | |
| 10 | 18 | |
| 11 | 82 | |
| 12 | 22 | |
| 13 | 160 | |
| 14 | 14 | |
| 15 | 22 | |
| 16 | 45 | |
| 17 | 15 | |
| 18 | 121 | |
| 19 | 79 | |
| 20 | 89 |
About Emiko Okuda‐Ashitaka
Emiko Okuda‐Ashitaka is a scholar working on Cellular and Molecular Neuroscience, Physiology and Biochemistry, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (33 papers), Neuropeptides and Animal Physiology (28 papers) and Receptor Mechanisms and Signaling (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Physiology (1.2k citations) and Pharmacology (389 citations). Emiko Okuda‐Ashitaka has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Seiji Ito, Toshiaki Minami, Shinji Matsumura, Osamu Hayaishi, Hidemaro Mori, Shinro Tachibana, Tamaki Mabuchi, Tayo Katano, Toshihiko Ezashi and Terutoshi Kimura. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.
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.