Sahng Wook Park

5.5k total citations · 2 hit papers
53 papers, 4.4k citations indexed

About

Sahng Wook Park is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Sahng Wook Park has authored 53 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Surgery and 12 papers in Cancer Research. Recurrent topics in Sahng Wook Park's work include Peroxisome Proliferator-Activated Receptors (13 papers), Cholesterol and Lipid Metabolism (10 papers) and Lipoproteins and Cardiovascular Health (9 papers). Sahng Wook Park is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (13 papers), Cholesterol and Lipid Metabolism (10 papers) and Lipoproteins and Cardiovascular Health (9 papers). Sahng Wook Park collaborates with scholars based in South Korea, United States and Germany. Sahng Wook Park's co-authors include Jay D. Horton, Norma N. Anderson, Young-Ah Moon, Michael S. Brown, Janet A. Warrington, Nila Shah, Joseph L. Goldstein, Kyung‐Sup Kim, Bin Dong and Jingwen Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Sahng Wook Park

53 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes

2003 1.2k citations Sahng Wook Park et al. profile →
Secreted PCSK9 decreases the number of LDL receptors in hepatocytes and inlivers of parabiotic mice

2006 548 citations Sahng Wook Park et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sahng Wook Park South Korea	24	2.5k	1.9k	1.1k	447	410	53	4.4k
Thomas A. Lagace Canada	25	3.1k 1.3×	1.5k 0.8×	646 0.6×	588 1.3×	252 0.6×	32	4.4k
Philippe Costet France	32	3.2k 1.3×	2.1k 1.1×	644 0.6×	465 1.0×	1.1k 2.6×	45	4.5k
Young-Ah Moon South Korea	22	1.5k 0.6×	1.5k 0.8×	669 0.6×	257 0.6×	245 0.6×	42	3.1k
Simon Jackson United States	28	1.2k 0.5×	2.1k 1.1×	547 0.5×	450 1.0×	414 1.0×	47	4.1k
Michael S. Brown United States	11	1.9k 0.8×	2.0k 1.0×	657 0.6×	255 0.6×	442 1.1×	23	3.7k
Bo-Liang Li China	31	1.6k 0.7×	2.1k 1.1×	732 0.7×	278 0.6×	450 1.1×	74	3.8k
Knut Erik Berge Norway	33	4.2k 1.7×	2.3k 1.2×	753 0.7×	349 0.8×	2.0k 5.0×	103	6.3k
Marcelo Amar United States	44	2.8k 1.1×	1.9k 1.0×	829 0.8×	591 1.3×	1.0k 2.5×	85	5.2k
Michihisa Umetani United States	28	1.7k 0.7×	1.8k 0.9×	1.1k 1.0×	480 1.1×	976 2.4×	43	3.9k
John A. Stonik United States	30	1.9k 0.8×	1.5k 0.8×	463 0.4×	237 0.5×	812 2.0×	41	2.9k

Countries citing papers authored by Sahng Wook Park

Since Specialization

Citations

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

Fields of papers citing papers by Sahng Wook Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahng Wook Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sahng Wook Park. A scholar is included among the top collaborators of Sahng Wook 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 Sahng Wook Park. Sahng Wook Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Hyoeun, David Suh, Hyo‐Kyoung Choi, et al.. (2024). Generation of an induced pluripotent stem cell line from a patient with arrhythmogenic right ventricular cardiomyopathy harboring a TMEM43 splice-site variant. Stem Cell Research. 78. 103453–103453. 2 indexed citations

Song, Ji‐Hye, Min‐Sun Kim, Seung‐Hyun Lee, et al.. (2024). Hydroethanolic extract of Cirsium setidens ameliorates doxorubicin-induced cardiotoxicity by AMPK-PGC-1α-SOD-mediated mitochondrial protection. Phytomedicine. 129. 155633–155633. 12 indexed citations

Kim, Hyoeun, Hyeong-Jin Kim, Jaewon Oh, et al.. (2022). An induced pluripotent stem cell line (YCMi006-A) generated from a patient with hypertrophic cardiomyopathy who carries the ACTA1 mutation p.Ile343Met. Stem Cell Research. 63. 102874–102874. 1 indexed citations

Jeon, Sae‐Bom, Jaewon Oh, Seung‐Tae Lee, et al.. (2022). Derivation of YCMi005-A, a human-induced pluripotent stem cell line, from a patient with dilated cardiomyopathy carrying missense variant in TPM1 (p. Glu192Lys). Stem Cell Research. 60. 102707–102707. 3 indexed citations

Oh, Jaewon, Seung‐Tae Lee, Seung‐Tae Lee, et al.. (2021). Generation of a human induced pluripotent stem cell line YCMi004-A from a patient with dilated cardiomyopathy carrying a protein-truncating mutation of the Titin gene and its differentiation towards cardiomyocytes. Stem Cell Research. 59. 102629–102629. 2 indexed citations

Oh, Jaewon, Jungyoon Choi, Jong Rak Choi, et al.. (2021). Establishment of a novel human iPSC line (YCMi003-A) from a patient with dilated cardiomyopathy carrying genetic variant LMNA p.Asp364His. Stem Cell Research. 56. 102508–102508. 2 indexed citations

Lee, Jangho, Min‐Yu Chung, Seung Pyo Hong, et al.. (2020). Piceatannol reduces resistance to statins in hypercholesterolemia by reducing PCSK9 expression through p300 acetyltransferase inhibition. Pharmacological Research. 161. 105205–105205. 14 indexed citations

Lee, Kyoung-Mi, Kwang Hwan Park, Moses Lee, et al.. (2018). Inhibition of STAT5A promotes osteogenesis by DLX5 regulation. Cell Death and Disease. 9(11). 1136–1136. 24 indexed citations

Choi, Hyo‐Kyoung, Jin‐Taek Hwang, Tae Gyu Nam, et al.. (2017). Welsh onion extract inhibits PCSK9 expression contributing to the maintenance of the LDLR level under lipid depletion conditions of HepG2 cells. Food & Function. 8(12). 4582–4591. 30 indexed citations

10.

Choi, Hyeonjin, Hun Lee, Tae Hee Kim, et al.. (2014). G0/G1 switch gene 2 has a critical role in adipocyte differentiation. Cell Death and Differentiation. 21(7). 1071–1080. 25 indexed citations

11.

Lee, Chan Joo, Yong‐ho Lee, Sahng Wook Park, et al.. (2013). Association of serum proprotein convertase subtilisin/kexin type 9 with carotid intima media thickness in hypertensive subjects. Metabolism. 62(6). 845–850. 47 indexed citations

12.

Jeong, Hyun Jeong, et al.. (2010). Coculture with BJ fibroblast cells inhibits the adipogenesis and lipogenesis in 3T3-L1 cells. Biochemical and Biophysical Research Communications. 392(4). 520–525. 8 indexed citations

13.

Dong, Bin, Minhao Wu, Hai Li, et al.. (2010). Strong induction of PCSK9 gene expression through HNF1α and SREBP2: mechanism for the resistance to LDL-cholesterol lowering effect of statins in dyslipidemic hamsters. Journal of Lipid Research. 51(6). 1486–1495. 211 indexed citations

14.

Li, Hai, Bin Dong, Sahng Wook Park, et al.. (2009). Hepatocyte nuclear factor 1alpha plays a critical role in PCSK9 gene transcription and regulation by the natural hypocholesterolemic compound berberine.. 284(42). 28885–28895. 90 indexed citations

15.

Park, Sahng Wook, Sarah Yoon, Jong‐Seok Moon, Byeong‐Woo Park, & Kyung‐Sup Kim. (2008). Resveratrol Downregulates Acetyl-CoA Carboxylase α and Fatty Acid Synthase by AMPK-mediated Downregulation of mTOR in Breast Cancer Cells. Food Science and Biotechnology. 17(5). 1047–1051. 2 indexed citations

16.

Lee, Min‐Young, Jong‐Seok Moon, Sahng Wook Park, et al.. (2008). KLF5 enhances SREBP-1 action in androgen-dependent induction of fatty acid synthase in prostate cancer cells. Biochemical Journal. 417(1). 313–322. 33 indexed citations

17.

Yoon, Sarah, Sahng Wook Park, Jong‐Seok Moon, et al.. (2007). Up-regulation of Acetyl-CoA Carboxylase α and Fatty Acid Synthase by Human Epidermal Growth Factor Receptor 2 at the Translational Level in Breast Cancer Cells. Journal of Biological Chemistry. 282(36). 26122–26131. 183 indexed citations

18.

Oh, So-Young, et al.. (2003). Acetyl-CoA Carboxylase β Gene Is Regulated by Sterol Regulatory Element-binding Protein-1 in Liver. Journal of Biological Chemistry. 278(31). 28410–28417. 80 indexed citations

19.

Moon, Young-Ah, Sahng Wook Park, & Kyung‐Sup Kim. (2002). Characterization of cis-acting elements in the rat ATP citrate-lyase gene promoter. Experimental & Molecular Medicine. 34(1). 60–68. 15 indexed citations

20.

Kim, Kyung‐Sup, et al.. (1996). Regulation of ATP-citrate lyase gene transcription. Yonsei Medical Journal. 37(3). 214–214. 9 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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