Syôten Oka
- Biomedical Engineering
- Computational Mechanics top 5%
- Pulmonary and Respiratory Medicine
- Fluid Flow and Transfer Processes top 5%
- Physiology
- Co-authors
- Takehiro AzumaMasatsugu NakaiAkiyoshi TakamiTakehiko AzumaNobuji MaedaMisuzu SekiyaT. SudaKazunori Kon
- Topics
- Rheology and Fluid Dynamics Studies (20 papers)Blood properties and coagulation (16 papers)Erythrocyte Function and Pathophysiology (12 papers)
- Journals
- Journal of Colloid and Interface ScienceAnnals of the New York Academy of SciencesInternational Journal of Heat and Mass Transfer
- Partner nations
- JapanChinaUnited States
In The Last Decade
Syôten Oka
53 papers receiving 507 citations
Peers
Comparison fields: 5 of 91
- Biomedical Engineering 172
- Computational Mechanics 157
- Pulmonary and Respiratory Medicine 137
- Fluid Flow and Transfer Processes 107
- Physiology 94
Countries citing papers authored by Syôten Oka
This map shows the geographic impact of Syôten Oka'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 Syôten Oka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Syôten Oka more than expected).
Fields of papers citing papers by Syôten Oka
This network shows the impact of papers produced by Syôten Oka. 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 Syôten Oka. The network helps show where Syôten Oka may publish in the future.
Co-authorship network of co-authors of Syôten Oka
This figure shows the co-authorship network connecting the top 25 collaborators of Syôten Oka. A scholar is included among the top collaborators of Syôten Oka 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 Syôten Oka. Syôten Oka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 41 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | La distribution subcellulaire des phospholipides de la Mycobactérie. | 3 |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 1 |
About Syôten Oka
Syôten Oka is a scholar working on Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics and Computational Mechanics, having authored 58 papers that have together received 546 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (20 papers), Blood properties and coagulation (16 papers) and Erythrocyte Function and Pathophysiology (12 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (107 citations), Computational Mechanics (157 citations) and Pulmonary and Respiratory Medicine (137 citations). Syôten Oka has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Takehiro Azuma, Masatsugu Nakai, Akiyoshi Takami, Takehiko Azuma, Nobuji Maeda, Misuzu Sekiya, T. Suda, Kazunori Kon, Toshiaki Dobashi and Akio Sakanishi. Their work appears in journals such as Journal of Colloid and Interface Science, Annals of the New York Academy of Sciences and International Journal of Heat and Mass Transfer.
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.