Yasuo Kawaguchi
- Cellular and Molecular Neuroscience top 0.05%
- Cognitive Neuroscience top 0.1%
- Molecular Biology top 2%
- Computational Mechanics top 0.5%
- Neurology top 0.5%
- Co-authors
- Yoshiyuki KubotaCharles J. WilsonBo YuP.C. EmsonSarah J. AugoodPiers C. EmsonKiyoshi HamaMieko Morishima
- Topics
- Fluid Dynamics and Turbulent Flows (108 papers)Rheology and Fluid Dynamics Studies (86 papers)Neuroscience and Neuropharmacology Research (67 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Yasuo Kawaguchi
289 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Cellular and Molecular Neuroscience 9.9k
- Cognitive Neuroscience 6.5k
- Molecular Biology 3.5k
- Computational Mechanics 1.6k
- Neurology 1.5k
Countries citing papers authored by Yasuo Kawaguchi
This map shows the geographic impact of Yasuo Kawaguchi'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 Yasuo Kawaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Kawaguchi more than expected).
Fields of papers citing papers by Yasuo Kawaguchi
This network shows the impact of papers produced by Yasuo Kawaguchi. 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 Yasuo Kawaguchi. The network helps show where Yasuo Kawaguchi may publish in the future.
Co-authorship network of co-authors of Yasuo Kawaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Kawaguchi. A scholar is included among the top collaborators of Yasuo Kawaguchi 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 Yasuo Kawaguchi. Yasuo Kawaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 62 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 39 | |
| 13 | 56 | |
| 14 | 37 | |
| 15 | 104 | |
| 16 | 34 | |
| 17 | 143 | |
| 18 | Experimental study of surfactant drag-reducing flow in 2-D channel at subzero temperature | 1 |
| 19 | TED-AJ03-134 INVESTIGATION ON HEAT TRANSFER CHARACTERISTICS OF DRAG-REDUCING FLOW WITH SURFACTANT ADDITIVE BY SIMULTANEOUS MEASUREMENTS OF TEMPERATURE AND VELOCITYFLUCTUATIONS IN THERMAL BOUNDARY LAYER | 3 |
| 20 | Active control of turbulent drag reduction in surfactant solutions by wall heating | 11 |
About Yasuo Kawaguchi
Yasuo Kawaguchi is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Cellular and Molecular Neuroscience, having authored 298 papers that have together received 14.9k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (108 papers), Rheology and Fluid Dynamics Studies (86 papers) and Neuroscience and Neuropharmacology Research (67 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (9.9k citations), Cognitive Neuroscience (6.5k citations) and Developmental Neuroscience (925 citations). Yasuo Kawaguchi has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yoshiyuki Kubota, Charles J. Wilson, Bo Yu, P.C. Emson, Sarah J. Augood, Piers C. Emson, Kiyoshi Hama, Mieko Morishima, Fuyuki Karube and Takeshi Otsuka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.