Sunpil Kim
Impact in
-
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
- Nerve injury and regeneration 1
- Co-authors
- C. Justin Lee (11 shared papers)Heeyoung An (2 shared papers)Jeongeun Sim (1 shared paper)Min‐Ho Nam (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 (2 papers)Biological Psychiatry (1 paper)Scientific Reports (1 paper)Image and Vision Computing (1 paper)Molecular Brain (1 paper)
- Partner nations
- South KoreaUnited KingdomChina
In The Last Decade
Sunpil Kim
12 papers receiving 325 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 27
- Neurology 69
- Cellular and Molecular Neuroscience 145
- Developmental Neuroscience 32
- Pharmacology 29
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 | 79 | |
| 2 | 2021 | 75 | |
| 3 | 2021 | 62 | |
| 4 | 2021 | 53 | |
| 5 | 2016 | 32 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 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 Social Psychology, having authored 14 papers that have together received 328 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neuroscience and Neural Engineering (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Advanced Neural Network Applications (2 papers), Photoreceptor and optogenetics research (2 papers), Electrochemical sensors and biosensors (1 paper), Nerve injury and regeneration (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Biological Psychiatry (27 citations), Neurology (69 citations), Cellular and Molecular Neuroscience (145 citations), Developmental Neuroscience (32 citations) and Pharmacology (29 citations). Sunpil Kim has collaborated with scholars based in South Korea, United Kingdom and China. Frequent co-authors include C. Justin Lee, Heeyoung An, Jeongeun Sim, Min‐Ho Nam, Dong Pyo Jang, Mingu Gordon Park, Jeongyeon Kim, Junsung Woo, Jea Kwon and Insop Shim. Their work appears in journals such as Experimental & Molecular Medicine, Biological Psychiatry, Scientific Reports, Image and Vision Computing and Molecular Brain.
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.