Sungkun Chun
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- Ginseng Biological Effects and Applications 7
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- Graphene and Nanomaterials Applications 5
- Nanoplatforms for cancer theranostics 4
- Bone Tissue Engineering Materials 4
- Co-authors
- Jung-Mi Oh (15 shared papers)Ildar T. Bayazitov (3 shared papers)Stanislav S. Zakharenko (3 shared papers)Jay A. Blundon (2 shared papers)Woong Sun (3 shared papers)Eunhee Kim (1 shared paper)Cheol Sang Kim (5 shared papers)Beom‐Su Kim (7 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Nature Communications (2 papers)ACS Applied Materials & Interfaces (2 papers)BMC Infectious Diseases (2 papers)Materials & Design (2 papers)
- Partner nations
- South KoreaUnited StatesNepal
In The Last Decade
Sungkun Chun
38 papers receiving 918 citations
Peers
Comparison fields: 5 of 111
- Developmental Neuroscience 109
- Cellular and Molecular Neuroscience 209
- Cancer Research 120
- Cognitive Neuroscience 136
- Biomaterials 83
Countries citing papers authored by Sungkun Chun
This map shows the geographic impact of Sungkun Chun'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 Sungkun Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungkun Chun more than expected).
Fields of papers citing papers by Sungkun Chun
This network shows the impact of papers produced by Sungkun Chun. 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 Sungkun Chun. The network helps show where Sungkun Chun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungkun Chun, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2014 | 96 | |
| 3 | 2018 | 79 | |
| 4 | 2006 | 69 | |
| 5 | 2019 | 57 | |
| 6 | 2013 | 56 | |
| 7 | 2016 | 51 | |
| 8 | 2018 | 50 | |
| 9 | 2022 | 37 | |
| 10 | 2015 | 36 | |
| 11 | 2011 | 33 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2023 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 2010 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2003 | 13 |
About Sungkun Chun
Sungkun Chun is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Physiology and Biomaterials, having authored 39 papers that have together received 929 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Graphene and Nanomaterials Applications (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Nanoplatforms for cancer theranostics (4 papers), Bone Tissue Engineering Materials (4 papers), Adipose Tissue and Metabolism (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Developmental Neuroscience (109 citations), Cellular and Molecular Neuroscience (209 citations), Cancer Research (120 citations), Cognitive Neuroscience (136 citations) and Biomaterials (83 citations). Sungkun Chun has collaborated with scholars based in South Korea, United States and Nepal. Frequent co-authors include Jung-Mi Oh, Ildar T. Bayazitov, Stanislav S. Zakharenko, Jay A. Blundon, Woong Sun, Eunhee Kim, Cheol Sang Kim, Beom‐Su Kim, Joong‐Jean Park and Joby J. Westmoreland. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, ACS Applied Materials & Interfaces, BMC Infectious Diseases and Materials & Design.
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.