Sungkun Chun

1.3k total citations
39 papers, 929 citations indexed

About

Sungkun Chun is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sungkun Chun has authored 39 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Biomedical Engineering and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sungkun Chun's work include Ginseng Biological Effects and Applications (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Graphene and Nanomaterials Applications (5 papers). Sungkun Chun is often cited by papers focused on Ginseng Biological Effects and Applications (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Graphene and Nanomaterials Applications (5 papers). Sungkun Chun collaborates with scholars based in South Korea, United States and Nepal. Sungkun Chun's 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 Donnie Eddins and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Sungkun Chun

38 papers receiving 918 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sungkun Chun South Korea 17 402 209 190 136 120 39 929
Prem Prakash Tripathi India 19 498 1.2× 149 0.7× 130 0.7× 111 0.8× 68 0.6× 33 991
Xiaowen Li China 17 294 0.7× 128 0.6× 75 0.4× 81 0.6× 58 0.5× 44 859
Yang He China 24 525 1.3× 206 1.0× 125 0.7× 138 1.0× 81 0.7× 92 2.0k
Kai Zhao China 23 637 1.6× 218 1.0× 177 0.9× 58 0.4× 90 0.8× 67 1.4k
Tian Zhou China 19 531 1.3× 244 1.2× 73 0.4× 220 1.6× 66 0.6× 62 1.4k
Ming-Hong Tai Taiwan 20 321 0.8× 205 1.0× 63 0.3× 64 0.5× 110 0.9× 37 975
Yujing Wang China 18 341 0.8× 153 0.7× 196 1.0× 199 1.5× 37 0.3× 55 1.1k
Pike-See Cheah Malaysia 24 924 2.3× 153 0.7× 122 0.6× 71 0.5× 492 4.1× 87 1.8k
Shusen Cui China 20 452 1.1× 517 2.5× 123 0.6× 51 0.4× 75 0.6× 60 1.4k
Talita Glaser Brazil 20 517 1.3× 154 0.7× 145 0.8× 17 0.1× 80 0.7× 55 1.5k

Countries citing papers authored by Sungkun Chun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sungkun Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Sungkun Chun. A scholar is included among the top collaborators of Sungkun Chun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sungkun Chun. Sungkun Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rezk, Abdelrahman I., et al.. (2025). Synergistic chemo-photothermal therapy and osteogenic activity using graphene oxide-functionalized composite whitlockite bone particles. Journal of Materials Chemistry B. 13(32). 9838–9849. 1 indexed citations
2.
Oh, Jung-Mi, et al.. (2025). Compound K promotes thermogenic signature and mitochondrial biogenesis via the UCP1-SIRT3-PGC1α signaling pathway. Biomedicine & Pharmacotherapy. 183. 117838–117838. 3 indexed citations
3.
4.
Rezk, Abdelrahman I., Jaekwang Lee, Beom‐Su Kim, & Sungkun Chun. (2024). Strategically Designed Bifunctional Polydopamine Enwrapping Polycaprolactone-Hydroxyapatite-Doxorubicin Composite Nanofibers for Osteosarcoma Treatment and Bone Regeneration. ACS Applied Materials & Interfaces. 16(18). 22946–22957. 8 indexed citations
5.
Yang, Soo Hyun, Esther Yang, Jin Yong Kim, et al.. (2023). Neural mechanism of acute stress regulation by trace aminergic signalling in the lateral habenula in male mice. Nature Communications. 14(1). 2435–2435. 12 indexed citations
6.
Oh, Jung-Mi, et al.. (2023). Selegiline Modulates Lipid Metabolism by Activating AMPK Pathways of Epididymal White Adipose Tissues in HFD-Fed Obese Mice. Pharmaceutics. 15(11). 2539–2539. 2 indexed citations
7.
Oh, Jung-Mi, et al.. (2023). Effects of Social Defeat Stress on Microtubule Regulating Proteins and Tubulin Polymerization. Clinical Psychopharmacology and Neuroscience. 22(1). 129–138.
8.
Kwon, Young‐Do, et al.. (2021). Synthesis and evaluation of multivalent nitroimidazole-based near-infrared fluorescent agents for neuroblastoma and colon cancer imaging. Bioorganic Chemistry. 113. 104990–104990. 6 indexed citations
9.
10.
Kim, Ju‐Hyeon, Jung-Mi Oh, Sungkun Chun, Hye Yoon Park, & Wan‐Taek Im. (2020). Enzymatic Biotransformation of Ginsenoside Rb2 into Rd by Recombinant ��-L-Arabinopyranosidase from Blastococcus saxobsidens. Journal of Microbiology and Biotechnology. 30(3). 391–397. 13 indexed citations
11.
Yang, Sun‐Sik, Jung-Mi Oh, Sungkun Chun, et al.. (2019). Tauroursodeoxycholic acid induces angiogenic activity in endothelial cells and accelerates bone regeneration. Bone. 130. 115073–115073. 12 indexed citations
12.
Baek, Yun Hee, Khristine Kaith S. Lloren, Won-Suk Choi, et al.. (2019). Rapid and simple colorimetric detection of multiple influenza viruses infecting humans using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform. BMC Infectious Diseases. 19(1). 676–676. 100 indexed citations
13.
14.
Bhattarai, Deval Prasad, Tae In Hwang, Jeong In Kim, et al.. (2019). Synthesis of polypyrrole nanorods via sacrificial removal of aluminum oxide nanopore template: A study on cell viability, electrical stimulation and neuronal differentiation of PC12 cells. Materials Science and Engineering C. 107. 110325–110325. 24 indexed citations
15.
16.
Chun, Sungkun, Fei Du, Joby J. Westmoreland, et al.. (2016). Thalamic miR-338-3p mediates auditory thalamocortical disruption and its late onset in models of 22q11.2 microdeletion. Nature Medicine. 23(1). 39–48. 51 indexed citations
17.
Chun, Sungkun, Joby J. Westmoreland, Ildar T. Bayazitov, et al.. (2014). Specific disruption of thalamic inputs to the auditory cortex in schizophrenia models. Science. 344(6188). 1178–1182. 96 indexed citations
18.
Kim, Woon Ryoung, Sungkun Chun, Hyun Kim, et al.. (2011). Evidence for the spontaneous production but massive programmed cell death of new neurons in the subcallosal zone of the postnatal mouse brain. European Journal of Neuroscience. 33(4). 599–611. 33 indexed citations
19.
Chun, Sungkun, Woong Sun, & Min Whan Jung. (2009). LTD induction suppresses LTP-induced hippocampal adult neurogenesis. Neuroreport. 20(14). 1279–1283. 8 indexed citations
20.
Chun, Sungkun, et al.. (2006). Enhanced proliferation of progenitor cells following long-term potentiation induction in the rat dentate gyrus. Neurobiology of Learning and Memory. 86(3). 322–329. 69 indexed citations

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.

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