Seishi Kudo
- Condensed Matter Physics top 2%
- Micro and Nano Robotics 19
- Structural Biology top 5%
- Endocrinology top 5%
- Parasitology top 5%
- Leptospirosis research and findings 8
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- Lipid Membrane Structure and Behavior 11
- ATP Synthase and ATPases Research 5
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- Microfluidic and Bio-sensing Technologies 10
- Nanopore and Nanochannel Transport Studies 4
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- Knee injuries and reconstruction techniques 5
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- Osteoarthritis Treatment and Mechanisms 5
- Co-authors
- Yukio MagariyamaShoichi ToyabeShuichi NakamuraTakahiro Watanabe‐NakayamaShigeru SugiyamaEiro MuneyukiHiroshi MizutaTetsuaki Okamoto
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (3 papers)
- Partner nations
- JapanSlovakiaUnited States
In The Last Decade
Seishi Kudo
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 120
- Condensed Matter Physics 503
- Structural Biology 53
- Statistical and Nonlinear Physics 225
- Endocrinology 82
- Parasitology 75
Countries citing papers authored by Seishi Kudo
This map shows the geographic impact of Seishi Kudo'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 Seishi Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seishi Kudo more than expected).
Fields of papers citing papers by Seishi Kudo
This network shows the impact of papers produced by Seishi Kudo. 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 Seishi Kudo. The network helps show where Seishi Kudo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seishi Kudo, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | F 1 -ATPアーゼ上の単一分子実験で観察される拡散の巨大な加速 | 2015 | 8 |
| 4 | 2015 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2011 | 31 | |
| 7 | 2008 | 23 | |
| 8 | 2007 | 32 | |
| 9 | 2006 | 17 | |
| 10 | 2005 | 64 | |
| 11 | 2004 | 62 | |
| 12 | 2002 | 95 | |
| 13 | 2002 | 1 | |
| 14 | 2001 | 1 | |
| 15 | 2001 | 2 | |
| 16 | 2000 | 4 | |
| 17 | 1995 | 23 | |
| 18 | 1991 | 10 | |
| 19 | 1990 | 106 | |
| 20 | 1988 | 20 |
About Seishi Kudo
Seishi Kudo is a scholar working on Condensed Matter Physics, Parasitology and Structural Biology, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Micro and Nano Robotics (19 papers), Lipid Membrane Structure and Behavior (11 papers), Microfluidic and Bio-sensing Technologies (10 papers), Leptospirosis research and findings (8 papers), Knee injuries and reconstruction techniques (5 papers), ATP Synthase and ATPases Research (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Nanopore and Nanochannel Transport Studies (4 papers). The work is most often cited by research in Condensed Matter Physics (503 citations), Structural Biology (53 citations) and Statistical and Nonlinear Physics (225 citations). Seishi Kudo has collaborated with scholars based in Japan, Slovakia and United States. Frequent co-authors include Yukio Magariyama, Shoichi Toyabe, Shuichi Nakamura, Takahiro Watanabe‐Nakayama, Shigeru Sugiyama, Eiro Muneyuki, Hiroshi Mizuta, Tetsuaki Okamoto, Katsumasa Takagi and Y Hiraki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.