Satoshi Akasaka

1.1k citations
26 papers · 898 indexed · h-index 16
Topics
Block Copolymer Self-Assembly (21 papers)Advanced Polymer Synthesis and Characterization (7 papers)Machine Learning in Materials Science (7 papers)
Partner nations
JapanUnited StatesTaiwan

In The Last Decade

Satoshi Akasaka

26 papers receiving 878 citations

Peers

Satoshi Akasaka
Comparison fields: 5 of 37
  • Materials Chemistry 754
  • Organic Chemistry 421
  • Surfaces, Coatings and Films 138
  • Biomedical Engineering 138
  • Polymers and Plastics 132
Replace Kazuyuki Matsunaga with:
Kazuyuki Matsunaga Japan
Hubert Elbs Germany
Kohtaro Kimishima Japan
Udo Krappe Germany
Gordon S. W. Craig United States
James T. Goldbach United States
Yoshinori Funaki Japan
Benjamin J. Rancatore United States
Ronald M. Lewis United States
Julia D. Cushen United States
Satoshi Akasaka relative to Kazuyuki Matsunaga Japan Kazuyuki Matsunaga's profile →
Citations per field
00.5×1.5×
Kazuyuki Matsunaga · 1×
Citations per year

Countries citing papers authored by Satoshi Akasaka

Since Specialization
Citations

This map shows the geographic impact of Satoshi Akasaka'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 Satoshi Akasaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Akasaka more than expected).

Fields of papers citing papers by Satoshi Akasaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoshi Akasaka. 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 Satoshi Akasaka. The network helps show where Satoshi Akasaka may publish in the future.

Co-authorship network of co-authors of Satoshi Akasaka

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Akasaka. A scholar is included among the top collaborators of Satoshi Akasaka 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 Satoshi Akasaka. Satoshi Akasaka 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 13
2 17
3 21
4 32
5 8
6 92
7 122
8 17
9 42
10 26
11 97
12 50
13 143
14 5
15 15
16 45
17 3
18 1
19 42
20 16

About Satoshi Akasaka

Satoshi Akasaka is a scholar working on Acoustics and Ultrasonics, Fluid Flow and Transfer Processes and Structural Biology, having authored 26 papers that have together received 898 indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (21 papers), Advanced Polymer Synthesis and Characterization (7 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Surfaces, Coatings and Films (138 citations), Materials Chemistry (754 citations) and Organic Chemistry (421 citations). Satoshi Akasaka has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Hirokazu Hasegawa, Mikihito Takenaka, Chun-Ku Chen, Rong‐Ming Ho, Yun‐Wei Chiang, Kenji Saijo, Myung Im Kim, Shotaro Nishitsuji, Hiroshi Yoshida and Tsutomu Wakada. Their work appears in journals such as Journal of the American Chemical Society, Macromolecules and Langmuir.

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.

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