Sunghyouk Park

4.4k total citations
119 papers, 2.9k citations indexed

About

Sunghyouk Park is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Sunghyouk Park has authored 119 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 28 papers in Cancer Research and 18 papers in Physiology. Recurrent topics in Sunghyouk Park's work include Metabolomics and Mass Spectrometry Studies (40 papers), Cancer, Hypoxia, and Metabolism (21 papers) and Cancer, Lipids, and Metabolism (10 papers). Sunghyouk Park is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (40 papers), Cancer, Hypoxia, and Metabolism (21 papers) and Cancer, Lipids, and Metabolism (10 papers). Sunghyouk Park collaborates with scholars based in South Korea, United States and Ethiopia. Sunghyouk Park's co-authors include Hyuk Nam Kwon, Yong An, Gerhard Wagner, Sunmi Kang, Xing Jin, He Wen, Jinho Kang, Wen He, Seok Joong Yun and Pyung‐Lim Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Sunghyouk Park

116 papers receiving 2.9k citations

Peers

Sunghyouk Park
Dan Chen China
Mika Hilvo Finland
Xun Hu China
Rui Cao China
Thomas M. Vondriska United States
Philip V. LoGrasso United States
Dan Chen China
Sunghyouk Park
Citations per year, relative to Sunghyouk Park Sunghyouk Park (= 1×) peers Dan Chen

Countries citing papers authored by Sunghyouk Park

Since Specialization
Citations

This map shows the geographic impact of Sunghyouk Park'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 Sunghyouk Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghyouk Park more than expected).

Fields of papers citing papers by Sunghyouk Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunghyouk Park. 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 Sunghyouk Park. The network helps show where Sunghyouk Park may publish in the future.

Co-authorship network of co-authors of Sunghyouk Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghyouk Park. A scholar is included among the top collaborators of Sunghyouk Park 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 Sunghyouk Park. Sunghyouk Park 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.
Park, Sunghyouk, et al.. (2025). Cancer-intrinsic Cxcl5 orchestrates a global metabolic reprogramming for resistance to oxidative cell death in 3D. Cell Death and Differentiation. 32(7). 1200–1213. 1 indexed citations
2.
Kim, Doyeon, et al.. (2024). Time‐Resolved Evaluation of L‐Dopa Metabolism in Bacteria‐Host Symbiotic System and the Effect on Parkinson's Molecular Pathology. Small Methods. 9(3). e2400469–e2400469. 2 indexed citations
3.
Jung, Kyung Hee, Su-Jin Lee, Han Sun Kim, et al.. (2024). Acetyl-CoA synthetase 2 contributes to a better prognosis for liver cancer by switching acetate-glucose metabolism. Experimental & Molecular Medicine. 56(3). 721–733. 4 indexed citations
4.
Kim, Han Sun, Jinmo Kim, Doyeon Kim, et al.. (2023). TAK-981, a SUMOylation inhibitor, suppresses AML growth immune-independently. Blood Advances. 7(13). 3155–3168. 18 indexed citations
5.
An, Yong, Han Sun Kim, Ho Kim, et al.. (2023). Lactate as a major epigenetic carbon source for histone acetylation via nuclear LDH metabolism. Experimental & Molecular Medicine. 55(10). 2238–2247. 25 indexed citations
6.
Kim, Dongwoo, Ji Su Kim, Hae Young Ko, et al.. (2022). Extracellular Citrate Treatment Induces HIF1α Degradation and Inhibits the Growth of Low-Glycolytic Hepatocellular Carcinoma under Hypoxia. Cancers. 14(14). 3355–3355. 8 indexed citations
7.
Oh, Sehyun, et al.. (2022). Highly conserved protein Rv1211 in Mycobacterium tuberculosis is a natively unfolded protein that binds to a calmodulin antagonist, trifluoperazine. Biochemical and Biophysical Research Communications. 610. 182–187. 1 indexed citations
8.
Hong, Soon‐Sun, Kyung Hee Jung, Sunmi Kang, et al.. (2021). A Serum Marker for Early Pancreatic Cancer With a Possible Link to Diabetes. JNCI Journal of the National Cancer Institute. 114(2). 228–234. 19 indexed citations
9.
Kang, Sunmi, et al.. (2020). Interaction between IDH1 WT and calmodulin and its implications for glioblastoma cell growth and migration. Biochemical and Biophysical Research Communications. 524(1). 224–230. 8 indexed citations
10.
Im, Ji Hye, Keon Wook Kang, Sun Young Kim, et al.. (2018). GPR119 agonist enhances gefitinib responsiveness through lactate-mediated inhibition of autophagy. Journal of Experimental & Clinical Cancer Research. 37(1). 295–295. 18 indexed citations
11.
Kim, Ju‐Young, Kyung Hee Jung, Hong Yan, et al.. (2018). Artemisia Capillaris leaves inhibit cell proliferation and induce apoptosis in hepatocellular carcinoma. BMC Complementary and Alternative Medicine. 18(1). 147–147. 25 indexed citations
12.
Kwon, Hyuk Nam, Sehyun Oh, Xing Jin, Yong An, & Sunghyouk Park. (2015). Cancer metabolomics in basic science perspective. Archives of Pharmacal Research. 38(3). 372–380. 25 indexed citations
13.
Wen, He, et al.. (2015). Real‐Time Monitoring of Cancer Cell Metabolism and Effects of an Anticancer Agent using 2D In‐Cell NMR Spectroscopy. Angewandte Chemie International Edition. 54(18). 5374–5377. 53 indexed citations
14.
Kim, Hoe Suk, Xing Jin, Hye Seung Jung, et al.. (2013). Changes in Metabolic Markers in Insulin-Producing β-Cells during Hypoxia-Induced Cell Death As Studied by NMR Metabolomics. Journal of Proteome Research. 12(8). 3738–3745. 7 indexed citations
15.
Cho, Hye Rim, He Wen, Young Jin Ryu, et al.. (2012). An NMR Metabolomics Approach for the Diagnosis of Leptomeningeal Carcinomatosis. Cancer Research. 72(20). 5179–5187. 17 indexed citations
16.
Kim, Seung‐Woo, Yinchuan Jin, Joo‐Hyun Shin, et al.. (2012). Glycyrrhizic acid affords robust neuroprotection in the postischemic brain via anti-inflammatory effect by inhibiting HMGB1 phosphorylation and secretion. Neurobiology of Disease. 46(1). 147–156. 213 indexed citations
17.
He, Wen, et al.. (2009). Differentiation of cultivation sources of Ganoderma lucidum by NMR‐based metabolomics approach. Phytochemical Analysis. 21(1). 73–79. 27 indexed citations
18.
Kang, Sunmi, Jinho Kang, Hyuk Nam Kwon, et al.. (2008). Effects of Redox Potential and Ca2+ on the Inositol 1,4,5-Trisphosphate Receptor L3-1 Loop Region. Journal of Biological Chemistry. 283(37). 25567–25575. 40 indexed citations
19.
Sun, Zhenyu, Sven G. Hyberts, David Rovnyak, et al.. (2005). High-resolution aliphatic side-chain assignments in 3D HCcoNH experiments with joint H–C evolution and non-uniform sampling. Journal of Biomolecular NMR. 32(1). 55–60. 25 indexed citations
20.
Park, Sunghyouk, Michael E. Johnson, & L.W.‐M. Fung. (2000). NMR analysis of secondary structure and dynamics of a recombinant peptide from the N‐terminal region of human erythroid α‐spectrin. FEBS Letters. 485(1). 81–86. 15 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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