Kyo-in Koo

1.5k citations
79 papers · 1.2k indexed · h-index 16

Impact in

    • 3D Printing in Biomedical Research
    • Nanowire Synthesis and Applications
    • Microfluidic and Bio-sensing Technologies
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Kyo-in Koo

75 papers receiving 1.1k citations

Peers

Kyo-in Koo
Comparison fields: 5 of 131
  • Biomedical Engineering 558
  • Genetics 121
  • Biomaterials 143
  • Gastroenterology 58
  • Rehabilitation 67
Replace Damiano G. Barone with:
Damiano G. Barone United Kingdom
Virginia Pensabene Italy
Stephen Kennedy United States
Yong Lin Kong United States
Yukiko Tsuda Japan
Jeong Hun Jang South Korea
Masataka Suzuki Japan
Young Jin Lim South Korea
Thomas von Erlach United Kingdom
Kazuaki Yamamoto Japan
Kyo-in Koo relative to Damiano G. Barone United Kingdom Damiano G. Barone's profile →
Citations per field
00.5×5.8×
Damiano G. Barone · 1×
Citations per year

Countries citing papers authored by Kyo-in Koo

Since Specialization
Citations

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

Fields of papers citing papers by Kyo-in Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyo-in Koo. 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 Kyo-in Koo. The network helps show where Kyo-in Koo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kyo-in Koo, 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 Kyo-in Koo Line = papers co-authored together Kyo-in Koo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20238
4 20233
5 20236
6 20228
7 20211
8 20203
9 202027
10 20182
11 20171
12 2016243
13 20162
14 20150
15 20152
16 201525
17 20143
18 201254
19 201254
20
PMMA Retinal Tack with Barb-shaped Scale bars for Retinal Prosthesis
20090

About Kyo-in Koo

Kyo-in Koo is a scholar working on Bioengineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Biomaterials and Rehabilitation, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (17 papers), 3D Printing in Biomedical Research (16 papers), Advanced Memory and Neural Computing (10 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Microfluidic and Bio-sensing Technologies (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), EEG and Brain-Computer Interfaces (7 papers) and Nanofabrication and Lithography Techniques (6 papers). The work is most often cited by research in Biomedical Engineering (558 citations), Genetics (121 citations), Biomaterials (143 citations), Gastroenterology (58 citations) and Rehabilitation (67 citations). Kyo-in Koo has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Keekyoung Kim, Zongjie Wang, Dong‐il Cho, Roya Samanipour, Ru Dai, Chang Ho Hwang, Hyoungho Ko, Sangmin Lee, Jong-Mo Seo and Suwon Lee. Their work appears in journals such as Sensors, Applied Sciences, Biofabrication, Scientific Reports and Journal of Micromechanics and Microengineering.

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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2026