Sung-Gil Chi

9.8k citations
72 papers · 2.9k · 1 hit paper · h-index 29

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • PI3K/AKT/mTOR signaling in cancer
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Cell death mechanisms and regulation

Papers in

Sung-Gil Chi

69 papers receiving 2.9k citations

Hit Papers

Ubiquitination Regulates PTEN Nuclear Import and Tumor Suppression 2007 · 593 citations
5930+6+12Years since publication100200300400500

Peers

Sung-Gil Chi
Comparison fields: 5 of 116
  • Cancer Research 574
  • Molecular Biology 1.9k
  • Oncology 551
  • Cell Biology 250
  • Immunology 291
Replace Rosa Angela Cardone with:
Rosa Angela Cardone Italy
Mårten Fryknäs Sweden
Verónica Estrella United States
Galia Blum Israel
Neil Vasan United States
Debabrata Saha United States
Nina Kramer Austria
Qiwei Yang China
Joseph Johnson United States
Meng Yang China
Sung-Gil Chi relative to Rosa Angela Cardone Italy Rosa Angela Cardone's profile →
Citations per field
00.5×1.6×
Rosa Angela Cardone · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sung-Gil Chi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sung-Gil Chi Line = papers co-authored together Sung-Gil Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ubiquitination Regulates PTEN Nuclear Import and Tumor Suppression
Hit paper breakdown →
2007593
2 2003157
3 2019123
4 2020117
5 2001106
6 2012105
7 202299
8 200597
9 201996
10 201189
11 201686
12 201281
13 201060
14 199757
15 201455
16 201147
17 201845
18 201245
19 201244
20 202043

About Sung-Gil Chi

Sung-Gil Chi is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Immunology, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (8 papers), NF-κB Signaling Pathways (7 papers), Cancer-related Molecular Pathways (7 papers), Nanoplatforms for cancer theranostics (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), TGF-β signaling in diseases (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Cancer Research (574 citations), Molecular Biology (1.9k citations), Oncology (551 citations), Cell Biology (250 citations) and Immunology (291 citations). Sung-Gil Chi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Byung-Kyu Ryu, Jong Seung Kim, Min Goo Lee, Hyo-Jong Kim, Min-Goo Lee, Andrea Alimonti, Carlos Cordon‐Cardo, Tom Misteli, Haijuan Yang and Xinjiang Wang. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Oncogene, Journal of Neuro-Oncology, Cancer Research and International Journal of Molecular Sciences.

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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