Masao Sakurai
- Fluid Flow and Transfer Processes top 0.5%
- Biomedical Engineering top 5%
- Filtration and Separation top 0.2%
- Organic Chemistry top 5%
- Molecular Biology
- Co-authors
- Katsutoshi NittaTsurutaro NakagawaKunio NakamuraMitsuo NakataTsuyoshi KomatsuKatsuya MukaeYoshitaka TanakaTatsuya Doi
- Topics
- Thermodynamic properties of mixtures (25 papers)Chemical and Physical Properties in Aqueous Solutions (20 papers)Phase Equilibria and Thermodynamics (12 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masao Sakurai
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Fluid Flow and Transfer Processes 1.0k
- Biomedical Engineering 669
- Filtration and Separation 614
- Organic Chemistry 494
- Molecular Biology 284
Countries citing papers authored by Masao Sakurai
This map shows the geographic impact of Masao Sakurai'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 Masao Sakurai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Sakurai more than expected).
Fields of papers citing papers by Masao Sakurai
This network shows the impact of papers produced by Masao Sakurai. 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 Masao Sakurai. The network helps show where Masao Sakurai may publish in the future.
Co-authorship network of co-authors of Masao Sakurai
This figure shows the co-authorship network connecting the top 25 collaborators of Masao Sakurai. A scholar is included among the top collaborators of Masao Sakurai 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 Masao Sakurai. Masao Sakurai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 20 | |
| 3 | Plasma volume and blood viscosity during 4 h sitting in a dry environment: effect of prehydration. | 15 |
| 4 | Economy Class Syndrome and Its Prevention by Fluid Intake | 0 |
| 5 | 20 | |
| 6 | 7 | |
| 7 | 50 | |
| 8 | 66 | |
| 9 | 18 | |
| 10 | 53 | |
| 11 | 25 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 64 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 1 |
About Masao Sakurai
Masao Sakurai is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes and Rehabilitation, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (25 papers), Chemical and Physical Properties in Aqueous Solutions (20 papers) and Phase Equilibria and Thermodynamics (12 papers). The work is most often cited by research in Filtration and Separation (614 citations), Fluid Flow and Transfer Processes (1.0k citations) and Catalysis (168 citations). Masao Sakurai has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Katsutoshi Nitta, Tsurutaro Nakagawa, Kunio Nakamura, Mitsuo Nakata, Tsuyoshi Komatsu, Katsuya Mukae, Yoshitaka Tanaka, Tatsuya Doi, Yasuyuki Yoshioka and Koji Okamura. Their work appears in journals such as Journal of Neuroscience, Journal of Molecular Biology and The Journal of Physical Chemistry.
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.