Sora Ahn
Impact in
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- Acupuncture Treatment Research Studies
- Complementary and Alternative Medicine Studies
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Nerve injury and regeneration 4
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- Parkinson's Disease Mechanisms and Treatments 5
- Co-authors
- Hi‐Joon Park (14 shared papers)Ju‐Young Oh (8 shared papers)Jae‐Hwan Jang (7 shared papers)Mijung Yeom (7 shared papers)Suhwan Ji (1 shared paper)Dae‐Hyun Hahm (5 shared papers)Songhee Jeon (5 shared papers)Hyangsook Lee (2 shared papers)
- Journals
- Japanese Journal of Applied Physics (3 papers)Frontiers in Aging Neuroscience (2 papers)Brain Behavior and Immunity (2 papers)Advances in Condensed Matter Physics (1 paper)Journal of Integrative Medicine (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sora Ahn
33 papers receiving 466 citations
Peers
Comparison fields: 5 of 85
- Complementary and alternative medicine 124
- Biological Psychiatry 31
- Neurology 115
- Neurology 55
- Dermatology 54
Countries citing papers authored by Sora Ahn
This map shows the geographic impact of Sora Ahn'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 Sora Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sora Ahn more than expected).
Fields of papers citing papers by Sora Ahn
This network shows the impact of papers produced by Sora Ahn. 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 Sora Ahn. The network helps show where Sora Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Sora Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 170 | |
| 2 | 2020 | 59 | |
| 3 | 2021 | 37 | |
| 4 | 2019 | 33 | |
| 5 | 2017 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2013 | 8 | |
| 14 | 2013 | 8 | |
| 15 | 2013 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2013 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Sora Ahn
Sora Ahn is a scholar working on Cellular and Molecular Neuroscience, Neurology, Surgery, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 33 papers that have together received 469 indexed citations. Recurring topics across this work include Magnetic properties of thin films (7 papers), Dermatology and Skin Diseases (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Advanced Memory and Neural Computing (5 papers), Nerve injury and regeneration (4 papers), Acupuncture Treatment Research Studies (4 papers), Quantum and electron transport phenomena (4 papers) and Abdominal Trauma and Injuries (3 papers). The work is most often cited by research in Complementary and alternative medicine (124 citations), Biological Psychiatry (31 citations), Neurology (115 citations), Neurology (55 citations) and Dermatology (54 citations). Sora Ahn has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hi‐Joon Park, Ju‐Young Oh, Jae‐Hwan Jang, Mijung Yeom, Suhwan Ji, Dae‐Hyun Hahm, Songhee Jeon, Hyangsook Lee, Hyejung Lee and Hyungsoon Shin. Their work appears in journals such as Japanese Journal of Applied Physics, Frontiers in Aging Neuroscience, Brain Behavior and Immunity, Advances in Condensed Matter Physics and Journal of Integrative Medicine.
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.