Sung-Gil Chi

9.8k total citations · 1 hit paper
72 papers, 2.9k citations indexed

About

Sung-Gil Chi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sung-Gil Chi has authored 72 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Cancer Research and 18 papers in Oncology. Recurrent topics in Sung-Gil Chi's work include Caveolin-1 and cellular processes (8 papers), Cancer-related Molecular Pathways (7 papers) and NF-κB Signaling Pathways (7 papers). Sung-Gil Chi is often cited by papers focused on Caveolin-1 and cellular processes (8 papers), Cancer-related Molecular Pathways (7 papers) and NF-κB Signaling Pathways (7 papers). Sung-Gil Chi collaborates with scholars based in South Korea, United States and Japan. Sung-Gil Chi's co-authors include Byung-Kyu Ryu, Jong Seung Kim, Min Goo Lee, Hyo-Jong Kim, Min-Goo Lee, Xinjiang Wang, Nikola P. Pavletich, Brett S. Carver, Carlos Cordon‐Cardo and Tom Misteli and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sung-Gil Chi

69 papers receiving 2.9k citations

Hit Papers

Ubiquitination Regulates PTEN Nuclear Import and Tumor Su... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung-Gil Chi South Korea 29 1.9k 574 551 384 308 72 2.9k
Shamit K. Dutta United States 31 1.6k 0.8× 565 1.0× 723 1.3× 350 0.9× 180 0.6× 62 2.6k
Zhuan Zhou China 32 2.0k 1.0× 635 1.1× 698 1.3× 279 0.7× 426 1.4× 81 3.0k
Qiwei Yang China 28 1.9k 1.0× 1.0k 1.8× 544 1.0× 456 1.2× 255 0.8× 111 3.3k
Neil Vasan United States 10 1.4k 0.7× 592 1.0× 637 1.2× 378 1.0× 333 1.1× 26 2.5k
Mohammad Hedayati United States 30 1.7k 0.9× 686 1.2× 529 1.0× 426 1.1× 191 0.6× 61 2.8k
Alberto Fernández‐Medarde Spain 15 1.6k 0.8× 303 0.5× 569 1.0× 591 1.5× 213 0.7× 31 2.8k
Rosa Angela Cardone Italy 32 2.2k 1.2× 808 1.4× 611 1.1× 314 0.8× 385 1.3× 72 3.5k
Yong Weon Yi South Korea 28 1.6k 0.8× 491 0.9× 510 0.9× 290 0.8× 188 0.6× 63 2.7k
Ruifang Niu China 38 2.5k 1.3× 972 1.7× 969 1.8× 417 1.1× 273 0.9× 87 3.9k
Meng Yang China 22 1.3k 0.7× 317 0.6× 787 1.4× 493 1.3× 266 0.9× 58 2.8k

Countries citing papers authored by Sung-Gil Chi

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Gil Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Gil Chi. 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-Gil Chi. The network helps show where Sung-Gil Chi may publish in the future.

Co-authorship network of co-authors of Sung-Gil Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Gil Chi. A scholar is included among the top collaborators of Sung-Gil Chi 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-Gil Chi. Sung-Gil Chi 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, Eun Hye, Jiwoong Choi, Hochung Jang, et al.. (2024). Targeted delivery of anti-miRNA21 sensitizes PD-L1high tumor to immunotherapy by promoting immunogenic cell death. Theranostics. 14(10). 3777–3792. 12 indexed citations
2.
Kim, Hyo‐Suk, Eun Hye Kim, Hochung Jang, et al.. (2022). The Potential of Cell-Penetrating Peptides for mRNA Delivery to Cancer Cells. Pharmaceutics. 14(6). 1271–1271. 36 indexed citations
3.
Park, Jung‐Hyun, Jin‐Young Min, Jae‐Young Kim, et al.. (2021). A Novel Protein–Protein Interaction between RSK3 and IκBα and a New Binding Inhibitor That Suppresses Breast Cancer Tumorigenesis. Cancers. 13(12). 2973–2973. 8 indexed citations
4.
Sunwoo, Kyoung, Miae Won, Miri Choi, et al.. (2020). Mitochondrial Relocation of a Common Synthetic Antibiotic: A Non-genotoxic Approach to Cancer Therapy. Chem. 6(6). 1408–1419. 43 indexed citations
5.
Lee, Kyung-Woo, et al.. (2020). NORE1A directs apoptotic switch of TNF signaling through reciprocal modulation of ITCH-mediated destruction of TNFRI and BAX. Oncogene. 39(34). 5675–5689. 5 indexed citations
7.
Kim, June Hoan, et al.. (2018). Senescent tumor cells building three-dimensional tumor clusters. Scientific Reports. 8(1). 10503–10503. 10 indexed citations
8.
Lee, Min-Goo, et al.. (2016). RASSF1A Directly Antagonizes RhoA Activity through the Assembly of a Smurf1-Mediated Destruction Complex to Suppress Tumorigenesis. Cancer Research. 76(7). 1847–1859. 32 indexed citations
9.
Lee, Jin Hee, et al.. (2013). α-Lipoic acid prevents p53 degradation in colon cancer cells by blocking NF-κB induction of RPS6KA4. Anti-Cancer Drugs. 24(6). 555–565. 21 indexed citations
10.
Cho, Kyucheol, Jikhyon Han, Soon Ki Park, et al.. (2013). PPARδ promotes oncogenic redirection of TGF-β1 signaling through the activation of the ABCA1-Cav1 pathway. Cell Cycle. 12(10). 1521–1535. 32 indexed citations
11.
Her, Nam-Gu, Min Goo Lee, Byung-Kyu Ryu, et al.. (2012). Caveolin-1 Increases Aerobic Glycolysis in Colorectal Cancers by Stimulating HMGA1-Mediated GLUT3 Transcription. Cancer Research. 72(16). 4097–4109. 105 indexed citations
12.
Chi, Sung-Gil, et al.. (2012). XIAP reverses various functional activities of FRNK in endothelial cells. Biochemical and Biophysical Research Communications. 419(2). 419–424. 7 indexed citations
14.
Kim, Han‐Na, Sung-Gil Chi, Yun‐Sil Lee, et al.. (2012). Analysis of the Cellular Stress Response in MCF10A Cells Exposed to Combined Radio Frequency Radiation. Journal of Radiation Research. 53(2). 176–183. 10 indexed citations
15.
Lee, Jin Hee, Min Ju Kang, Min-Goo Lee, et al.. (2011). Epigenetic Alteration of PRKCDBP in Colorectal Cancers and Its Implication in Tumor Cell Resistance to TNFα-Induced Apoptosis. Clinical Cancer Research. 17(24). 7551–7562. 47 indexed citations
16.
Choe, Junho, Hana Cho, Sung-Gil Chi, & Yoon Ki Kim. (2011). Ago2/miRISC-mediated inhibition of CBP80/20-dependent translation and thereby abrogation of nonsense-mediated mRNA decay require the cap-associating activity of Ago2. FEBS Letters. 585(17). 2682–2687. 19 indexed citations
17.
Ki, Kyung‐Do, et al.. (2010). Frequent inactivation of hSRBC in ovarian cancers by promoter CpG island hypermethylation. Acta Obstetricia Et Gynecologica Scandinavica. 89(5). 629–635. 20 indexed citations
18.
Lee, Sang Kil, et al.. (2008). The Effect of Saccharomyces boulardii on Human Colon Cells and Inflammation in Rats with Trinitrobenzene Sulfonic Acid-Induced Colitis. Digestive Diseases and Sciences. 54(2). 255–263. 38 indexed citations
19.
Trotman, Lloyd C., Xinjiang Wang, Andrea Alimonti, et al.. (2007). Ubiquitination Regulates PTEN Nuclear Import and Tumor Suppression. Cell. 128(1). 141–156. 593 indexed citations breakdown →
20.
Park, Seong-Uk, et al.. (2004). Daio-Orengedokudo works as a cell-proliferating compound in endothelial cells. Canadian Journal of Physiology and Pharmacology. 82(6). 380–386. 13 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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