Sung Hee Um

5.8k total citations · 3 hit papers
56 papers, 4.7k citations indexed

About

Sung Hee Um is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Sung Hee Um has authored 56 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Physiology and 10 papers in Immunology. Recurrent topics in Sung Hee Um's work include Adipose Tissue and Metabolism (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). Sung Hee Um is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). Sung Hee Um collaborates with scholars based in South Korea, United States and Switzerland. Sung Hee Um's co-authors include George Thomas, Sara C. Kozma, Melanie Sticker, David D’Alessio, Stefano Fumagalli, Francesca Frigerio, Frédéric Picard, Johan Auwerx, Peter R. Allegrini and Mitsuhiro Watanabe and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sung Hee Um

54 papers receiving 4.6k citations

Hit Papers

Absence of S6K1 protects against age- and diet-induced ob... 2004 2026 2011 2018 2004 2004 2006 400 800 1.2k

Peers

Sung Hee Um
Jae Myoung Suh United States
Susan Hedrick United States
Shigeki Miyamoto United States
Qingwei Chu United States
Songtao Yu United States
Hai‐Bin Ruan United States
Sung Hee Um
Citations per year, relative to Sung Hee Um Sung Hee Um (= 1×) peers Olga Göransson

Countries citing papers authored by Sung Hee Um

Since Specialization
Citations

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

Fields of papers citing papers by Sung Hee Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Hee Um. 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 Sung Hee Um. The network helps show where Sung Hee Um may publish in the future.

Co-authorship network of co-authors of Sung Hee Um

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Hee Um. A scholar is included among the top collaborators of Sung Hee Um 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 Sung Hee Um. Sung Hee Um 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.
Kim, Hee Jung, et al.. (2023). The Novel Inhibitory Effect of YM976 on Adipocyte Differentiation. Cells. 12(2). 205–205. 3 indexed citations
2.
Kim, Hee Jung, Da Eun Lee, Moonjin Ra, et al.. (2022). Anti-Adipogenic Effects of Salicortin from the Twigs of Weeping Willow (Salix pseudolasiogyne) in 3T3-L1 Cells. Molecules. 27(20). 6954–6954. 2 indexed citations
3.
Lee, Seul, Hyun‐Soo Roh, Jimin Shin, et al.. (2020). Loss of S6K1 But Not S6K2 in the Tumor Microenvironment Suppresses Tumor Growth by Attenuating Tumor Angiogenesis. Translational Oncology. 13(4). 100767–100767. 9 indexed citations
4.
Kim, Seong‐Tae, et al.. (2019). Vacuolar H+-ATPase Subunit V0C Regulates Aerobic Glycolysis of Esophageal Cancer Cells via PKM2 Signaling. Cells. 8(10). 1137–1137. 17 indexed citations
5.
Lee, Jae‐Wook, Ji‐Young Lee, Sung Hee Um, & Eun‐Yi Moon. (2017). Synovial cell death is regulated by TNF-α-induced expression of B-cell activating factor through an ERK-dependent increase in hypoxia-inducible factor-1α. Cell Death and Disease. 8(4). e2727–e2727. 30 indexed citations
6.
Rhee, Dong‐Kwon, et al.. (2017). Sinigrin inhibits production of inflammatory mediators by suppressing NF-κB/MAPK pathways or NLRP3 inflammasome activation in macrophages. International Immunopharmacology. 45. 163–173. 52 indexed citations
7.
Um, Sung Hee, et al.. (2016). Interferon-alpha inhibits adipogenesis via regulation of JAK/STAT1 signaling. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(11). 2416–2427. 30 indexed citations
8.
Gutiérrez‐Aguilar, Ruth, et al.. (2016). Depot-specific differences in angiogenic capacity of adipose tissue in differential susceptibility to diet-induced obesity. Molecular Metabolism. 5(11). 1113–1120. 29 indexed citations
9.
Yi, Sang Ah, Sung Hee Um, Jaecheol Lee, et al.. (2016). S6K1 Phosphorylation of H2B Mediates EZH2 Trimethylation of H3: A Determinant of Early Adipogenesis. Molecular Cell. 62(3). 443–452. 71 indexed citations
10.
Kim, Seok‐Hyung, et al.. (2012). Prognostic significance and function of phosphorylated ribosomal protein S6 in esophageal squamous cell carcinoma. Modern Pathology. 26(3). 327–335. 47 indexed citations
12.
Lee, Keun‐Woo, Nam Kyung Lee, Jeong Hoon Kim, et al.. (2012). Twist1 causes the transcriptional repression of claudin-4 with prognostic significance in esophageal cancer. Biochemical and Biophysical Research Communications. 423(3). 454–460. 20 indexed citations
13.
Lee, Keun‐Woo, Jeong Hoon Kim, Chang Ohk Sung, et al.. (2011). Twist1 Is an Independent Prognostic Factor of Esophageal Squamous Cell Carcinoma and Associated with Its Epithelial–Mesenchymal Transition. Annals of Surgical Oncology. 19(1). 326–335. 59 indexed citations
14.
Kim, Ji-Yun, Hye-Jin Park, Sung Hee Um, et al.. (2011). Sulforaphane suppresses vascular adhesion molecule-1 expression in TNF-α-stimulated mouse vascular smooth muscle cells: Involvement of the MAPK, NF-κB and AP-1 signaling pathways. Vascular Pharmacology. 56(3-4). 131–141. 52 indexed citations
15.
Park, Hyejin, Tae‐Wan Kim, Byung-Oh Kim, et al.. (2010). Inhibition of TNF-α-induced adhesion molecule expression by diosgenin in mouse vascular smooth muscle cells via downregulation of the MAPK, Akt and NF-κB signaling pathways. Vascular Pharmacology. 53(5-6). 273–280. 77 indexed citations
16.
Carnevalli, Larissa S., Kouhei Masuda, Francesca Frigerio, et al.. (2010). S6K1 Plays a Critical Role in Early Adipocyte Differentiation. Developmental Cell. 18(5). 763–774. 162 indexed citations
17.
Kozma, Sara C., Sung Hee Um, & George Thomas. (2007). 17 Translational Control in Metabolic Diseases: The Role of mTOR Signaling in Obesity and Diabetes. Cold Spring Harbor Monograph Archive. 48. 459–483. 1 indexed citations
18.
Pende, Mario, Sung Hee Um, Virginie Mieulet, et al.. (2004). S6K1 −/− / S6K2 −/− Mice Exhibit Perinatal Lethality and Rapamycin-Sensitive 5′-Terminal Oligopyrimidine mRNA Translation and Reveal a Mitogen-Activated Protein Kinase-Dependent S6 Kinase Pathway. Molecular and Cellular Biology. 24(8). 3112–3124. 623 indexed citations breakdown →
19.
Um, Sung Hee, Francesca Frigerio, Mitsuhiro Watanabe, et al.. (2004). Absence of S6K1 protects against age- and diet-induced obesity while enhancing insulin sensitivity. Nature. 431(7005). 200–205. 1348 indexed citations breakdown →
20.
Hwang, Yu Kyeong, et al.. (2000). Identification of H-2Kb-restricted T-cell epitopes within the nucleocapsid protein of Hantaan virus and establishment of cytotoxic T-cell clones. Journal of Medical Virology. 60(2). 189–199. 11 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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