Sang-Oh Yoon

3.8k citations
30 papers · 2.8k indexed · 1 hit paper · h-index 21
Topics
PI3K/AKT/mTOR signaling in cancer (8 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Selenium in Biological Systems (3 papers)

In The Last Decade

Sang-Oh Yoon

28 papers receiving 2.7k citations

Hit Papers

Rapamycin differentially inhibits S6Ks and 4E-BP1 to medi...20082026201420202008200400600

Peers

Sang-Oh Yoon
Comparison fields: 5 of 106
  • Molecular Biology 2.0k
  • Oncology 584
  • Cancer Research 570
  • Cell Biology 393
  • Immunology 240
Replace Louise R. Howe with:
Louise R. Howe United States
Sang‐Gu Hwang South Korea
Almudena Porrás Spain
Maofu Fu United States
Barbara Bedogni United States
Can G. Pham United States
Zachary T. Schafer United States
Sébastien Cagnol Canada
Sejeong Shin United States
Jenny Z. Zheng United States
Sang-Oh Yoon relative to Louise R. Howe United States Louise R. Howe's profile →
Citations per field
00.5×1.6×
Louise R. Howe · 1×
Citations per year

Countries citing papers authored by Sang-Oh Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Oh Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Oh Yoon. 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 Sang-Oh Yoon. The network helps show where Sang-Oh Yoon may publish in the future.

Co-authorship network of co-authors of Sang-Oh Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Oh Yoon. A scholar is included among the top collaborators of Sang-Oh Yoon 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 Sang-Oh Yoon. Sang-Oh Yoon 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 0
2 7
3 16
4 2
5 2
6 45
7 16
8 39
9 20
10 39
11 243
12 79
13 67
14 44
15 190
16 337
17 8
18 144
19 6
20 154

About Sang-Oh Yoon

Sang-Oh Yoon is a scholar working on Cancer Research, Molecular Biology and Immunology and Allergy, having authored 30 papers that have together received 2.8k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Selenium in Biological Systems (3 papers). The work is most often cited by research in Cancer Research (570 citations), Molecular Biology (2.0k citations) and Aging (49 citations). Sang-Oh Yoon has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include John Blenis, Sejeong Shin, Philippe P. Roux, Andrew Y. Choo, An‐Sik Chung, Arthur M. Mercurio, Sang Gyun Kim, Robin E. Bachelder, Moon‐Moo Kim and Antonio Garcı́a de Herreros. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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