Gwan‐Jin Ko

839 citations
24 papers · 622 indexed · h-index 15

Impact in

Papers in

Gwan‐Jin Ko

22 papers receiving 615 citations

Peers

Gwan‐Jin Ko
Comparison fields: 5 of 80
  • Polymers and Plastics 184
  • Biomedical Engineering 430
  • Cellular and Molecular Neuroscience 115
  • Bioengineering 34
  • Biomaterials 72
Replace Jeong‐Woong Shin with:
Jeong‐Woong Shin South Korea
Tae‐Min Jang South Korea
Kaveti Rajaram South Korea
Won Bae Han South Korea
JinKi Min South Korea
Huarun Liang China
Heeseok Kang South Korea
Bohan Sun United States
Sungkeun Han South Korea
Liu Wang China
Gwan‐Jin Ko relative to Jeong‐Woong Shin South Korea Jeong‐Woong Shin's profile →
Citations per field
00.5×
Jeong‐Woong Shin · 1×
Citations per year

Countries citing papers authored by Gwan‐Jin Ko

Since Specialization
Citations

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

Fields of papers citing papers by Gwan‐Jin Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwan‐Jin Ko. 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 Gwan‐Jin Ko. The network helps show where Gwan‐Jin Ko may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gwan‐Jin Ko, 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 Gwan‐Jin Ko Line = papers co-authored together Gwan‐Jin Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20240
4 202415
5 202410
6 20244
7 202416
8 202428
9 202416
10 202318
11 202313
12 202314
13 202318
14 2023108
15 202319
16 202367
17 202255
18 202131
19 202149
20 202062

About Gwan‐Jin Ko

Gwan‐Jin Ko is a scholar working on Biomaterials, Polymers and Plastics, Biomedical Engineering, Cellular and Molecular Neuroscience and Molecular Medicine, having authored 24 papers that have together received 622 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (17 papers), Conducting polymers and applications (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Neuroscience and Neural Engineering (6 papers), Thermal Radiation and Cooling Technologies (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Polymers and Plastics (184 citations), Biomedical Engineering (430 citations), Cellular and Molecular Neuroscience (115 citations), Bioengineering (34 citations) and Biomaterials (72 citations). Gwan‐Jin Ko has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Suk‐Won Hwang, Won Bae Han, Tae‐Min Jang, Jeong‐Woong Shin, Seung Min Yang, Joong Hoon Lee, Heeseok Kang, Sungkeun Han, Kaveti Rajaram and Jun Hyeon Lim. Their work appears in journals such as ACS Nano, Advanced Materials, Nature Communications, Science Advances and Nano-Micro Letters.

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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