S. Kasahara
- Condensed Matter Physics top 0.2%
- Rare-earth and actinide compounds 74
- Physics of Superconductivity and Magnetism 54
- Superconductivity in MgB2 and Alloys 19
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- Iron-based superconductors research 101
- Accounting top 1%
- Corporate Taxation and Avoidance 19
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- Advanced Chemical Physics Studies 32
- Strategy and Management top 2%
- Intellectual Capital and Performance Analysis 18
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- Spectroscopy and Laser Applications 20
S. Kasahara
163 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 62
- Condensed Matter Physics 4.2k
- Electronic, Optical and Magnetic Materials 4.8k
- Accounting 1.2k
- Atomic and Molecular Physics, and Optics 1.3k
- Strategy and Management 476
Countries citing papers authored by S. Kasahara
This map shows the geographic impact of S. Kasahara'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. Kasahara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kasahara more than expected).
Fields of papers citing papers by S. Kasahara
This network shows the impact of papers produced by S. Kasahara. 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. Kasahara. The network helps show where S. Kasahara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Kasahara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 19 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 37 | |
| 10 | 2020 | 71 | |
| 11 | 2019 | 72 | |
| 12 | Superconductivity and magnetism of S-doped FeSe with a high T c ( 25-30K) studied via 77 Se-NMR measurements under pressure | 2019 | 2 |
| 13 | 2018 | 54 | |
| 14 | Local characterization of superconductivity in BaFe$_2$(As$_{1-x}$P$_x$)$_2$ | 2015 | 5 |
| 15 | 2015 | 7 | |
| 16 | Nodal versus nodeless order parameters in LiFeP and LiFeAs superconductors | 2012 | 1 |
| 17 | Strong Pinning and Nonlinear Creep Barriers in Iron-Pnictide Superconductors | 2011 | 1 |
| 18 | Nodal gap structure of BaFe_2(As_{1-x}P_x)_2 determined by the angle resolved thermal conductivity | 2011 | 1 |
| 19 | Specific Heat vs Field in the 30 K Superconductor BaFe 2 (As 0.7 P 0.3 ) 2 | 2010 | 1 |
| 20 | 2006 | 1 |
About S. Kasahara
S. Kasahara is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Spectroscopy, having authored 170 papers that have together received 6.3k indexed citations. Recurring topics across this work include Iron-based superconductors research (101 papers), Rare-earth and actinide compounds (74 papers), Physics of Superconductivity and Magnetism (54 papers), Advanced Chemical Physics Studies (32 papers), Spectroscopy and Laser Applications (20 papers), Superconductivity in MgB2 and Alloys (19 papers), Corporate Taxation and Avoidance (19 papers) and Intellectual Capital and Performance Analysis (18 papers). The work is most often cited by research in Condensed Matter Physics (4.2k citations), Electronic, Optical and Magnetic Materials (4.8k citations) and Accounting (1.2k citations). S. Kasahara has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include T. Shibauchi, Yuji Matsuda, Takahito Terashima, Hiroaki Ikeda, K. Hashimoto, Yuta Mizukami, Masaaki Baba, Tatsuya Watashige, Hajime Katô and S. Tonegawa. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.