T. Nitta
Impact in
- Condensed Matter Physics top 2%
- Micro and Nano Robotics
- GaN-based semiconductor devices and materials
- Molecular Medicine top 5%
Papers in
-
- Micro and Nano Robotics 17
- Physics of Superconductivity and Magnetism 12
- Co-authors
- Henry HessYasuyuki ShiraiYoshihito OsadaJianqiu GongYorito KakiuchiWataru SaitoK. TsudaIchiro Omura
- Journals
- IEEE Transactions on Applied Superconductivity (35 papers)IEEE Transactions on Magnetics (10 papers)Scientific Reports (3 papers)Dentomaxillofacial Radiology (3 papers)Lab on a Chip (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
T. Nitta
112 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Condensed Matter Physics 601
- Molecular Medicine 94
- Cell Biology 273
- Energy Engineering and Power Technology 46
- Electrical and Electronic Engineering 825
Countries citing papers authored by T. Nitta
This map shows the geographic impact of T. Nitta'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 T. Nitta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nitta more than expected).
Fields of papers citing papers by T. Nitta
This network shows the impact of papers produced by T. Nitta. 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 T. Nitta. The network helps show where T. Nitta may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Nitta, 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 | 2024 | 4 | |
| 3 | 2022 | 31 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 0 | |
| 10 | 2016 | 4 | |
| 11 | 2016 | 43 | |
| 12 | 2013 | 10 | |
| 13 | Energy capacity reduction of energy storage system in microgrid stabilized by cascade control system | 2009 | 15 |
| 14 | 2007 | 21 | |
| 15 | 2006 | 51 | |
| 16 | 2006 | 1 | |
| 17 | 2005 | 3 | |
| 18 | VISUALIZATION OF DYNAMIC ORGANIZATION OF CYTOSKELETON GELS IN LIVING CELLS BY HYBRID-SPM * | 2003 | 2 |
| 19 | 2003 | 12 | |
| 20 | 1999 | 21 |
About T. Nitta
T. Nitta is a scholar working on Energy Engineering and Power Technology, Condensed Matter Physics, Electrical and Electronic Engineering, Biomedical Engineering and Cell Biology, having authored 121 papers that have together received 1.6k indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (35 papers), High-Voltage Power Transmission Systems (27 papers), Frequency Control in Power Systems (23 papers), Superconducting Materials and Applications (21 papers), Micro and Nano Robotics (17 papers), Physics of Superconductivity and Magnetism (12 papers), Force Microscopy Techniques and Applications (10 papers) and Microtubule and mitosis dynamics (9 papers). The work is most often cited by research in Condensed Matter Physics (601 citations), Molecular Medicine (94 citations), Cell Biology (273 citations), Energy Engineering and Power Technology (46 citations) and Electrical and Electronic Engineering (825 citations). T. Nitta has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Henry Hess, Yasuyuki Shirai, Yoshihito Osada, Jianqiu Gong, Yorito Kakiuchi, Wataru Saito, K. Tsuda, Ichiro Omura, Masakazu Yamaguchi and Y. Saito. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, IEEE Transactions on Magnetics, Scientific Reports, Dentomaxillofacial Radiology and Lab on a Chip.
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.