Ahnsei Shon
Impact in
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- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
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- Neuroscience and Neural Engineering
Papers in
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- Advanced Sensor and Energy Harvesting Materials 4
- Muscle activation and electromyography studies 4
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- Neuroscience and Neural Engineering 5
- Co-authors
- Inchan Youn (2 shared papers)Jun‐Uk Chu (1 shared paper)Hyungmin Kim (1 shared paper)Joo Yong Sim (1 shared paper)John Bilbily (1 shared paper)Marie C. Walicki (1 shared paper)Kyle E. Parker (1 shared paper)Woon‐Hong Yeo (1 shared paper)
- Journals
- Science Advances (2 papers)Sensors (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Transactions on Biomedical Circuits and Systems (1 paper)Journal of Neuroscience Methods (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Ahnsei Shon
8 papers receiving 516 citations
Ahnsei Shon's Hit Papers
Peers
Comparison fields: 5 of 106
- Biomedical Engineering 254
- Cellular and Molecular Neuroscience 93
- Polymers and Plastics 58
- Cognitive Neuroscience 64
- Bioengineering 16
Countries citing papers authored by Ahnsei Shon
This map shows the geographic impact of Ahnsei Shon'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 Ahnsei Shon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahnsei Shon more than expected).
Fields of papers citing papers by Ahnsei Shon
This network shows the impact of papers produced by Ahnsei Shon. 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 Ahnsei Shon. The network helps show where Ahnsei Shon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ahnsei Shon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 292 | |
| 2 | 2019 | 177 | |
| 3 | Soft, stretchable conductive hydrogels for high-performance electronic implants Hit paper breakdown → | 2025 | 31 |
| 4 | 2021 | 12 | |
| 5 | 2021 | 8 | |
| 6 | 2013 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 0 |
About Ahnsei Shon
Ahnsei Shon is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Electrical and Electronic Engineering and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 530 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Muscle activation and electromyography studies (4 papers), Spinal Cord Injury Research (2 papers), Gastrointestinal motility and disorders (1 paper), Advanced Thermodynamic Systems and Engines (1 paper), Hemiptera Insect Studies (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Biomedical Engineering (254 citations), Cellular and Molecular Neuroscience (93 citations), Polymers and Plastics (58 citations), Cognitive Neuroscience (64 citations) and Bioengineering (16 citations). Ahnsei Shon has collaborated with scholars based in United States and South Korea. Frequent co-authors include Inchan Youn, Jun‐Uk Chu, Hyungmin Kim, Joo Yong Sim, John Bilbily, Marie C. Walicki, Kyle E. Parker, Woon‐Hong Yeo, Graydon B. Gereau and Jianliang Xiao. Their work appears in journals such as Science Advances, Sensors, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Circuits and Systems and Journal of Neuroscience Methods.
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.