Jun Matsui
Impact in
- Mechanics of Materials top 5%
- Cavitation Phenomena in Pumps
Papers in
-
- Cavitation Phenomena in Pumps 25
-
- Hydraulic and Pneumatic Systems 19
- Co-authors
- Junichi Kurokawa (32 shared papers)Naoki Tamasawa (24 shared papers)Hiroshi Murakami (24 shared papers)Toshihiro Suda (20 shared papers)Toshiaki Makabe (7 shared papers)Takashi Odagaki (11 shared papers)Hiroshi IMAMURA (15 shared papers)Y. Hiwatari (8 shared papers)
- Journals
- Journal of Fluids Engineering (7 papers)Diabetes Research and Clinical Practice (6 papers)Journal of Atherosclerosis and Thrombosis (6 papers)Atherosclerosis (3 papers)Nuclear Fusion (3 papers)
- Partner nations
- JapanUnited StatesUkraine
In The Last Decade
Jun Matsui
157 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 148
- Mechanics of Materials 364
- Endocrinology, Diabetes and Metabolism 159
- Computational Mechanics 217
- Fluid Flow and Transfer Processes 59
- Endocrinology 46
Countries citing papers authored by Jun Matsui
This map shows the geographic impact of Jun Matsui'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 Jun Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Matsui more than expected).
Fields of papers citing papers by Jun Matsui
This network shows the impact of papers produced by Jun Matsui. 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 Jun Matsui. The network helps show where Jun Matsui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Matsui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 73 | |
| 2 | 2001 | 73 | |
| 3 | 2000 | 63 | |
| 4 | 2005 | 55 | |
| 5 | 2000 | 51 | |
| 6 | CFD prediction and model experiment on suction vortices in pump sump | 2007 | 50 |
| 7 | 2000 | 47 | |
| 8 | 2009 | 47 | |
| 9 | 2001 | 41 | |
| 10 | 1999 | 38 | |
| 11 | 2000 | 34 | |
| 12 | 1994 | 31 | |
| 13 | 2006 | 30 | |
| 14 | 2008 | 29 | |
| 15 | 1994 | 29 | |
| 16 | 1994 | 28 | |
| 17 | 2007 | 27 | |
| 18 | 2012 | 27 | |
| 19 | 1999 | 26 | |
| 20 | 2004 | 26 |
About Jun Matsui
Jun Matsui is a scholar working on Mechanics of Materials, Mechanical Engineering, Electrical and Electronic Engineering, Materials Chemistry and Surgery, having authored 169 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cavitation Phenomena in Pumps (25 papers), Hydraulic and Pneumatic Systems (19 papers), Material Dynamics and Properties (15 papers), Plasma Diagnostics and Applications (9 papers), Cholesterol and Lipid Metabolism (9 papers), Health, Medicine and Society (8 papers), Rocket and propulsion systems research (8 papers) and Aging, Elder Care, and Social Issues (8 papers). The work is most often cited by research in Mechanics of Materials (364 citations), Endocrinology, Diabetes and Metabolism (159 citations), Computational Mechanics (217 citations), Fluid Flow and Transfer Processes (59 citations) and Endocrinology (46 citations). Jun Matsui has collaborated with scholars based in Japan, United States and Ukraine. Frequent co-authors include Junichi Kurokawa, Naoki Tamasawa, Hiroshi Murakami, Toshihiro Suda, Toshiaki Makabe, Takashi Odagaki, Hiroshi IMAMURA, Y. Hiwatari, Young‐Do Choi and Jutaro Tanabe. Their work appears in journals such as Journal of Fluids Engineering, Diabetes Research and Clinical Practice, Journal of Atherosclerosis and Thrombosis, Atherosclerosis and Nuclear Fusion.
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.