S. Mima
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Superconducting and THz Device Technology 18
- Radio Astronomy Observations and Technology 4
-
- Radio Frequency Integrated Circuit Design 7
- Co-authors
- T. Mizushima (3 shared papers)Tatsuya Hoshino (3 shared papers)Shinji Tsutsumi (2 shared papers)Tomofusa Tsuchiya (1 shared paper)Wataru Tomisato (1 shared paper)Masataka Mori (1 shared paper)Tomomi Gotoh (1 shared paper)Yukari Arai (1 shared paper)
- Journals
- Journal of Low Temperature Physics (11 papers)Carcinogenesis (1 paper)Applied Physics Letters (1 paper)Review of Scientific Instruments (1 paper)IEEE Transactions on Applied Superconductivity (1 paper)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
S. Mima
20 papers receiving 387 citations
Peers
Comparison fields: 5 of 80
- Physiology 36
- Cell Biology 123
- Pharmacology 90
- Biochemistry 25
- Biological Psychiatry 7
Countries citing papers authored by S. Mima
This map shows the geographic impact of S. Mima'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 S. Mima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mima more than expected).
Fields of papers citing papers by S. Mima
This network shows the impact of papers produced by S. Mima. 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 S. Mima. The network helps show where S. Mima may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Mima, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 214 | |
| 2 | 2005 | 107 | |
| 3 | 2008 | 22 | |
| 4 | 2013 | 10 | |
| 5 | 2023 | 7 | |
| 6 | 2015 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 1999 | 4 | |
| 10 | 2012 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2007 | 1 | |
| 20 | 2020 | 1 |
About S. Mima
S. Mima is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering, Condensed Matter Physics, Nuclear and High Energy Physics and Civil and Structural Engineering, having authored 25 papers that have together received 391 indexed citations. Recurring topics across this work include Superconducting and THz Device Technology (18 papers), Physics of Superconductivity and Magnetism (9 papers), Radio Frequency Integrated Circuit Design (7 papers), Radio Astronomy Observations and Technology (4 papers), Dark Matter and Cosmic Phenomena (3 papers), Thermal Radiation and Cooling Technologies (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (36 citations), Cell Biology (123 citations), Pharmacology (90 citations), Biochemistry (25 citations) and Biological Psychiatry (7 citations). S. Mima has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include T. Mizushima, Tatsuya Hoshino, Shinji Tsutsumi, Tomofusa Tsuchiya, Wataru Tomisato, Masataka Mori, Tomomi Gotoh, Yukari Arai, Takushi Namba and Tomoaki Ishihara. Their work appears in journals such as Journal of Low Temperature Physics, Carcinogenesis, Applied Physics Letters, Review of Scientific Instruments and IEEE Transactions on Applied Superconductivity.
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.