Sunpil Kim
Impact in
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- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
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- Gene expression and cancer classification 1
- Co-authors
- C. Justin Lee (11 shared papers)Heeyoung An (2 shared papers)Min‐Ho Nam (1 shared paper)Jeongeun Sim (1 shared paper)Dong Pyo Jang (1 shared paper)Mingu Gordon Park (3 shared papers)Jeongyeon Kim (3 shared papers)Junsung Woo (2 shared papers)
- Journals
- Experimental & Molecular Medicine (3 papers)Image and Vision Computing (1 paper)Experimental Neurobiology (1 paper)Neuron (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sunpil Kim
12 papers receiving 350 citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 24
- Neurology 68
- Developmental Neuroscience 32
- Cellular and Molecular Neuroscience 147
- Biochemistry 24
Countries citing papers authored by Sunpil Kim
This map shows the geographic impact of Sunpil Kim'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 Sunpil Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunpil Kim more than expected).
Fields of papers citing papers by Sunpil Kim
This network shows the impact of papers produced by Sunpil Kim. 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 Sunpil Kim. The network helps show where Sunpil Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunpil Kim, 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 | 2018 | 83 | |
| 2 | 2021 | 80 | |
| 3 | 2021 | 64 | |
| 4 | 2021 | 60 | |
| 5 | 2016 | 32 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2014 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 | |
| 15 | 2024 | 0 |
About Sunpil Kim
Sunpil Kim is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition, Neurology and Neurology, having authored 15 papers that have together received 352 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Advanced Neural Network Applications (2 papers), Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Image Enhancement Techniques (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Biological Psychiatry (24 citations), Neurology (68 citations), Developmental Neuroscience (32 citations), Cellular and Molecular Neuroscience (147 citations) and Biochemistry (24 citations). Sunpil Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include C. Justin Lee, Heeyoung An, Min‐Ho Nam, Jeongeun Sim, Dong Pyo Jang, Mingu Gordon Park, Jeongyeon Kim, Junsung Woo, Jea Kwon and Heejung Chun. Their work appears in journals such as Experimental & Molecular Medicine, Image and Vision Computing, Experimental Neurobiology, Neuron and International Journal of Computer Vision.
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.