G. Yusa
Impact in
-
- Quantum and electron transport phenomena
- Semiconductor Quantum Structures and Devices
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
Papers in
-
- Quantum and electron transport phenomena 35
- Semiconductor Quantum Structures and Devices 20
- Magnetic properties of thin films 8
- Atomic and Subatomic Physics Research 5
-
- Physics of Superconductivity and Magnetism 10
- Co-authors
- H. SakakiI. Bar‐JosephHadas ShtrikmanKoji MurakiTakeshi NodaY. HirayamaKatsushi HashimotoK. Takashina
- Journals
- Physical review. B. (7 papers)Applied Physics Letters (6 papers)Physical Review B (4 papers)Physical Review Letters (3 papers)Japanese Journal of Applied Physics (2 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
G. Yusa
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 42
- Atomic and Molecular Physics, and Optics 928
- Condensed Matter Physics 149
- Electrical and Electronic Engineering 559
- Materials Chemistry 367
- Artificial Intelligence 155
Countries citing papers authored by G. Yusa
This map shows the geographic impact of G. Yusa'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 G. Yusa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Yusa more than expected).
Fields of papers citing papers by G. Yusa
This network shows the impact of papers produced by G. Yusa. 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 G. Yusa. The network helps show where G. Yusa may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Yusa, 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 | 2025 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 158 | |
| 12 | 2016 | 12 | |
| 13 | 2015 | 23 | |
| 14 | 2012 | 25 | |
| 15 | 2006 | 2 | |
| 16 | 2005 | 130 | |
| 17 | 2003 | 3 | |
| 18 | 2000 | 32 | |
| 19 | 1998 | 3 | |
| 20 | 1996 | 47 |
About G. Yusa
G. Yusa is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Spectroscopy, Artificial Intelligence and Electrical and Electronic Engineering, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (35 papers), Semiconductor Quantum Structures and Devices (20 papers), Physics of Superconductivity and Magnetism (10 papers), Magnetic properties of thin films (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Quantum Information and Cryptography (6 papers), Atomic and Subatomic Physics Research (5 papers) and Advanced NMR Techniques and Applications (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (928 citations), Condensed Matter Physics (149 citations), Electrical and Electronic Engineering (559 citations), Materials Chemistry (367 citations) and Artificial Intelligence (155 citations). G. Yusa has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include H. Sakaki, I. Bar‐Joseph, Hadas Shtrikman, Koji Muraki, Takeshi Noda, Y. Hirayama, Katsushi Hashimoto, K. Takashina, Masahiro Hotta and M. Narihiro. Their work appears in journals such as Physical review. B., Applied Physics Letters, Physical Review B, Physical Review Letters and Japanese Journal of Applied Physics.
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.