Kosuke Ino

4.8k citations
179 papers · 4.0k · h-index 35

Impact in

Papers in

    • 3D Printing in Biomedical Research 50
    • Microfluidic and Bio-sensing Technologies 28
    • Biosensors and Analytical Detection 17
    • Electrochemical Analysis and Applications 69

Kosuke Ino

173 papers receiving 4.0k citations

Peers

Kosuke Ino
Comparison fields: 5 of 118
  • Electrochemistry 1.2k
  • Bioengineering 935
  • Biomedical Engineering 2.2k
  • Cellular and Molecular Neuroscience 668
  • Biomaterials 420
Replace Hitoshi Shiku with:
Hitoshi Shiku Japan
Yasufumi Takahashi Japan
Tomoyuki Yasukawa Japan
Javier Ramón‐Azcón Spain
Zhiliang Cheng United States
Shyh‐Chyang Luo Taiwan
Chia‐Fu Chou Taiwan
David W. Schmidtke United States
Tatsuro Goda Japan
Kang Sun China
Kosuke Ino relative to Hitoshi Shiku Japan Hitoshi Shiku's profile →
Citations per field
00.5×1.5×
Hitoshi Shiku · 1×
Citations per year

Countries citing papers authored by Kosuke Ino

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Ino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kosuke Ino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kosuke Ino Line = papers co-authored together Kosuke Ino links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014164
2 2005154
3 2005154
4 2012145
5 2007120
6 2007102
7 201296
8 201278
9 201370
10 201266
11 201566
12 201365
13 201463
14 201062
15 200960
16 201259
17 202056
18 201654
19 201252
20 201550

About Kosuke Ino

Kosuke Ino is a scholar working on Biomedical Engineering, Electrochemistry, Molecular Biology, Bioengineering and Cellular and Molecular Neuroscience, having authored 179 papers that have together received 4.0k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (69 papers), Analytical Chemistry and Sensors (58 papers), Neuroscience and Neural Engineering (50 papers), 3D Printing in Biomedical Research (50 papers), Advanced biosensing and bioanalysis techniques (42 papers), Microfluidic and Bio-sensing Technologies (28 papers), Electrochemical sensors and biosensors (24 papers) and Biosensors and Analytical Detection (17 papers). The work is most often cited by research in Electrochemistry (1.2k citations), Bioengineering (935 citations), Biomedical Engineering (2.2k citations), Cellular and Molecular Neuroscience (668 citations) and Biomaterials (420 citations). Kosuke Ino has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hitoshi Shiku, Tomokazu Matsue, Hiroyuki Honda, Yasufumi Takahashi, Akira Itô, Kumi Y. Inoue, Yuji Nashimoto, Yusuke Kanno, Toshiharu Arai and Javier Ramón‐Azcón. Their work appears in journals such as Analytical Chemistry, Lab on a Chip, Electrochimica Acta, Chemical Communications and Biosensors and Bioelectronics.

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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