Seishi Kudo

2.6k citations
67 papers · 1.8k indexed · h-index 25
Topics
Micro and Nano Robotics (19 papers)Lipid Membrane Structure and Behavior (11 papers)Microfluidic and Bio-sensing Technologies (10 papers)

In The Last Decade

Seishi Kudo

64 papers receiving 1.7k citations

Peers

Seishi Kudo
Comparison fields: 5 of 120
  • Molecular Biology 743
  • Condensed Matter Physics 503
  • Biomedical Engineering 492
  • Statistical and Nonlinear Physics 225
  • Atomic and Molecular Physics, and Optics 218
Replace Pierre Sens with:
Pierre Sens France
Richard B. Wilson United States
Benedikt Sabass Germany
Akira Ishihara Japan
Dorit Hanein United States
Kayo Maéda Japan
Seiji Kojima Japan
Douglas E. Smith United States
Vincent A. Martinez United Kingdom
Taro Q.P. Uyeda Japan
Seishi Kudo relative to Pierre Sens France Pierre Sens's profile →
Citations per field
00.5×3.6×
Pierre Sens · 1×
Citations per year

Countries citing papers authored by Seishi Kudo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Seishi Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Seishi Kudo. A scholar is included among the top collaborators of Seishi Kudo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seishi Kudo. Seishi Kudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 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
8
4 34
5 33
6 31
7 23
8 32
9 17
10 64
11 62
12 95
13 1
14 1
15 2
16 4
17 23
18 10
19 106
20 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) and Microfluidic and Bio-sensing Technologies (10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026