Min Sup Song

6.9k citations
53 papers · 5.3k indexed · 1 hit paper · h-index 25
Topics
Ubiquitin and proteasome pathways (8 papers)PI3K/AKT/mTOR signaling in cancer (7 papers)Microtubule and mitosis dynamics (6 papers)

In The Last Decade

Min Sup Song

50 papers receiving 5.2k citations

Hit Papers

The functions and regulation of the PTEN tumour suppressor2012202620162021201250010001.5k

Peers

Min Sup Song
Comparison fields: 5 of 123
  • Molecular Biology 4.2k
  • Cancer Research 1.5k
  • Oncology 1.1k
  • Cell Biology 733
  • Pulmonary and Respiratory Medicine 444
Replace Leo A. van Grunsven with:
Leo A. van Grunsven Belgium
Rachel A. Ridgway United Kingdom
Xia Lin China
Shiaw‐Yih Lin United States
Calvin D. Roskelley Canada
Qiang Wang China
He Huang China
Philip H. Howe United States
Cristina Montagna United States
Johannes H. Schulte Germany
Min Sup Song relative to Leo A. van Grunsven Belgium Leo A. van Grunsven's profile →
Citations per field
00.5×1.7×
Leo A. van Grunsven · 1×
Citations per year

Countries citing papers authored by Min Sup Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Sup Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Sup Song. 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 Sup Song. The network helps show where Min Sup Song may publish in the future.

Co-authorship network of co-authors of Min Sup Song

This figure shows the co-authorship network connecting the top 25 collaborators of Min Sup Song. A scholar is included among the top collaborators of Min Sup Song 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 Min Sup Song. Min Sup Song 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
#WorkIndexed citations
1 11
2 1
3 15
4 70
5 8
6 64
7 60
8 101
9 11
10 26
11 80
12 221
13 369
14 306
15 301
16 33
17 40
18 118
19 260
20
Induction of glucose-regulated protein 78 by chronic hypoxia in human gastric tumor cells through a protein kinase C-epsilon/ERK/AP-1 signaling cascade.
141

About Min Sup Song

Min Sup Song is a scholar working on Cancer Research, Cell Biology and Molecular Biology, having authored 53 papers that have together received 5.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Microtubule and mitosis dynamics (6 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (4.2k citations) and Cell Biology (733 citations). Min Sup Song has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Pier Paolo Pandolfi, Leonardo Salmena, Su Jung Song, Ainara Egia, Arkaitz Carracedo, Dae‐Sik Lim, Robin M. Hobbs, Francesco Lo‐Coco, Julie Teruya‐Feldstein and Laura Poliseno. Their work appears in journals such as Nature, Cell and Advanced Materials.

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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