Shunsaku Kimura

7.1k total citations · 2 hit papers
244 papers, 6.1k citations indexed

About

Shunsaku Kimura is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Shunsaku Kimura has authored 244 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Molecular Biology, 115 papers in Biomaterials and 74 papers in Organic Chemistry. Recurrent topics in Shunsaku Kimura's work include Supramolecular Self-Assembly in Materials (85 papers), Molecular Junctions and Nanostructures (63 papers) and Lipid Membrane Structure and Behavior (49 papers). Shunsaku Kimura is often cited by papers focused on Supramolecular Self-Assembly in Materials (85 papers), Molecular Junctions and Nanostructures (63 papers) and Lipid Membrane Structure and Behavior (49 papers). Shunsaku Kimura collaborates with scholars based in Japan, United States and Germany. Shunsaku Kimura's co-authors include Tomoyuki Morita, Yukio Imanishi, Shiro Kobayashi, Hiroshi Uyama, A. Makino, Junji Sugiyama, Kazuya Kitagawa, Jun‐ichi Kadokawa, Shin‐ichiro Shoda and Tomoya Imai and has published in prestigious journals such as Science, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Shunsaku Kimura

240 papers receiving 6.0k citations

Hit Papers

Enzymatic Polymerization 2001 2026 2009 2017 2001 2016 200 400 600

Peers

Shunsaku Kimura
Comparison fields: 5 of 120
  • Molecular Biology 3.2k
  • Biomaterials 2.4k
  • Electrical and Electronic Engineering 1.8k
  • Organic Chemistry 1.8k
  • Materials Chemistry 1.0k
Replace Mihail Bãrboiu with:
Mihail Bãrboiu France
Thimmaiah Govindaraju India
Reynaldo Villalonga Spain
Nadav Amdursky Israel
Steven J. Langford Australia
Quan Luo China
Junfeng Xiang China
Michael H. Stewart United States
Ashok Kakkar Canada
Chao Wang China
Mihail Bãrboiu France View profile →
Citations per field, relative to Shunsaku Kimura
Shunsaku Kimura · 1×
Citations per year, relative to Shunsaku Kimura
Shunsaku Kimura · 1×

Countries citing papers authored by Shunsaku Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Shunsaku Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunsaku Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Shunsaku Kimura. A scholar is included among the top collaborators of Shunsaku Kimura 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 Shunsaku Kimura. Shunsaku Kimura 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
# Work Indexed citations
1 1
2 4
3 14
4 23
5 36
6 47
7 30
8 1
9 9
10 9
11 41
12 11
13
Peptosome : Vesicle Structure by Helical Peptide Monolayer
1
14 2
15 17
16 4
17 7
18 1
19 25
20 7

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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