Min-Sik Lee

894 citations
14 papers · 629 · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • Epigenetics and DNA Methylation 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Ubiquitin and proteasome pathways 3
    • Metabolism, Diabetes, and Cancer 2
    • Cancer-related Molecular Pathways 4

Min-Sik Lee

14 papers receiving 624 citations

Peers

Min-Sik Lee
Comparison fields: 5 of 83
  • Cancer Research 166
  • Aging 13
  • Molecular Biology 491
  • Oncology 179
  • Biochemistry 33
Replace Mahya Mehrmohamadi with:
Mahya Mehrmohamadi United States
Donglai Wang China
Alkmini Kalousi Greece
Fedor Nikulenkov Sweden
Kate Beishline United States
Jianhui Ma China
Yung-Sheng Chang Taiwan
Mohan R. Kaadige United States
Laura Di Magno Italy
Rui Lopes Netherlands
Min-Sik Lee relative to Mahya Mehrmohamadi United States Mahya Mehrmohamadi's profile →
Citations per field
00.5×1.5×2.3×
Mahya Mehrmohamadi · 1×
Citations per year

Countries citing papers authored by Min-Sik Lee

Since Specialization
Citations

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

Fields of papers citing papers by Min-Sik Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Sik Lee. 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 Min-Sik Lee. The network helps show where Min-Sik Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Min-Sik Lee, 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 Min-Sik Lee Line = papers co-authored together Min-Sik Lee links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015142
2 2009131
3 202378
4 201868
5 201254
6 202141
7 201232
8 201627
9 201822
10 201715
11 20256
12
PI3K/AKT activation induces PTEN ubiquitination and destabilization accelerating tumourigenesis
20156
13 20135
14 20102

About Min-Sik Lee

Min-Sik Lee is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 629 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ubiquitin and proteasome pathways (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Medical Imaging Techniques and Applications (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Cancer Research (166 citations), Aging (13 citations), Molecular Biology (491 citations), Oncology (179 citations) and Biochemistry (33 citations). Min-Sik Lee has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Jaewhan Song, Aram Ko, Eun‐Woo Lee, Stephen M. Hewitt, Joon‐Yong Chung, Nam‐Chul Ha, Hanbyoul Cho, Kyung‐Hee Chun, David P. Lane and Suzanne Camus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Death and Differentiation, The EMBO Journal, Molecules and Cells and Scientific Reports.

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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