M. Seki
Impact in
- Nuclear and High Energy Physics top 10%
- Magnetic confinement fusion research
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 6
-
- Fusion materials and technologies 15
- Nuclear Materials and Properties 6
- Co-authors
- Kazuhiko Sumi (2 shared papers)Hiroshi Kawamura (5 shared papers)Takahiro Wada (1 shared paper)Nozomu Yachie (9 shared papers)Hiroyuki Aburatani (6 shared papers)O. Naito (5 shared papers)S. Ide (3 shared papers)T. Fujita (3 shared papers)
- Journals
- Journal of Nuclear Materials (5 papers)Fusion Engineering and Design (3 papers)Nuclear Fusion (3 papers)Journal of Heat Transfer (2 papers)Nature Biotechnology (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
M. Seki
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Nuclear and High Energy Physics 164
- Aging 19
- Computer Vision and Pattern Recognition 228
- Business and International Management 18
- Molecular Biology 350
Countries citing papers authored by M. Seki
This map shows the geographic impact of M. Seki'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 M. Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Seki more than expected).
Fields of papers citing papers by M. Seki
This network shows the impact of papers produced by M. Seki. 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 M. Seki. The network helps show where M. Seki may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Seki, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 162 | |
| 2 | 2003 | 153 | |
| 3 | 1978 | 78 | |
| 4 | 2020 | 77 | |
| 5 | 2002 | 69 | |
| 6 | 2010 | 49 | |
| 7 | 2020 | 47 | |
| 8 | 1996 | 45 | |
| 9 | 2000 | 43 | |
| 10 | 1978 | 34 | |
| 11 | 2004 | 32 | |
| 12 | 1990 | 30 | |
| 13 | 1991 | 28 | |
| 14 | 1989 | 26 | |
| 15 | 1991 | 22 | |
| 16 | 1990 | 22 | |
| 17 | 2005 | 21 | |
| 18 | 1979 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 1992 | 16 |
About M. Seki
M. Seki is a scholar working on Molecular Biology, Materials Chemistry, Aerospace Engineering, Nuclear and High Energy Physics and Surgery, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fusion materials and technologies (15 papers), Magnetic confinement fusion research (11 papers), Nuclear Materials and Properties (6 papers), CRISPR and Genetic Engineering (6 papers), Superconducting Materials and Applications (5 papers), Laser-Plasma Interactions and Diagnostics (4 papers), Nuclear reactor physics and engineering (4 papers) and Plasma Diagnostics and Applications (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (164 citations), Aging (19 citations), Computer Vision and Pattern Recognition (228 citations), Business and International Management (18 citations) and Molecular Biology (350 citations). M. Seki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kazuhiko Sumi, Hiroshi Kawamura, Takahiro Wada, Nozomu Yachie, Hiroyuki Aburatani, O. Naito, S. Ide, T. Fujita, Shogo Yamamoto and Masaru Tomita. Their work appears in journals such as Journal of Nuclear Materials, Fusion Engineering and Design, Nuclear Fusion, Journal of Heat Transfer and Nature Biotechnology.
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.