Yasutoshi Jimbo

486 citations
13 papers · 412 indexed · h-index 7
Topics
Advanced Sensor and Energy Harvesting Materials (6 papers)Conducting polymers and applications (5 papers)Neuroscience and Neural Engineering (4 papers)
Partner nations
JapanTaiwanCanada

In The Last Decade

Yasutoshi Jimbo

13 papers receiving 406 citations

Peers

Yasutoshi Jimbo
Comparison fields: 5 of 43
  • Biomedical Engineering 308
  • Polymers and Plastics 230
  • Electrical and Electronic Engineering 177
  • Cellular and Molecular Neuroscience 117
  • Cognitive Neuroscience 59
Replace Takao Someya with:
Takao Someya Japan
Alessandra Zucca Italy
Haizhou Huang China
Shinya Wai United States
Zongman Zhang China
Sun Hong Kim South Korea
Ali Maziz France
Jialiang Yin Australia
Alexandre Larmagnac Switzerland
Dong-Hyun Baek South Korea
Yasutoshi Jimbo relative to Takao Someya Japan Takao Someya's profile →
Citations per field
00.5×1.7×
Takao Someya · 1×
Citations per year

Countries citing papers authored by Yasutoshi Jimbo

Since Specialization
Citations

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

Fields of papers citing papers by Yasutoshi Jimbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasutoshi Jimbo

This figure shows the co-authorship network connecting the top 25 collaborators of Yasutoshi Jimbo. A scholar is included among the top collaborators of Yasutoshi Jimbo 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 Yasutoshi Jimbo. Yasutoshi Jimbo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 1
3 93
4 21
5 3
6 1
7 41
8 1
9 21
10 190
11 29
12 1
13 9

About Yasutoshi Jimbo

Yasutoshi Jimbo is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 13 papers that have together received 412 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Conducting polymers and applications (5 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Polymers and Plastics (230 citations), Biomedical Engineering (308 citations) and Bioengineering (37 citations). Yasutoshi Jimbo has collaborated with scholars based in Japan, Taiwan and Canada. Frequent co-authors include Tomoyuki Yokota, Wonryung Lee, Takao Someya, Masaki Sekino, Sunghoon Lee, Takao Someya, George G. Malliaras, Shingo Kobayashi, Tomoyuki Yambe and Yusuke Inoue. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and ACS Applied Materials & Interfaces.

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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