Sayeon Cho

3.5k citations
124 papers · 2.8k indexed · h-index 30

Impact in

    • Redox biology and oxidative stress
    • Ubiquitin and proteasome pathways
    • Protein Tyrosine Phosphatases
    • S100 Proteins and Annexins
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Protein Tyrosine Phosphatases 29
    • Ubiquitin and proteasome pathways 15
    • Cell death mechanisms and regulation 10
    • Redox biology and oxidative stress 9
    • PI3K/AKT/mTOR signaling in cancer 8
    • Natural product bioactivities and synthesis 8

Sayeon Cho

122 papers receiving 2.7k citations

Peers

Sayeon Cho
Comparison fields: 5 of 130
  • Molecular Biology 1.8k
  • Cancer Research 317
  • Cell Biology 254
  • Immunology 311
  • Genetics 369
Replace Ying Su with:
Ying Su China
Donghai Lin China
George R. Oliver United States
Manabu Kurokawa United States
Soo‐Jong Um South Korea
Jing Wu China
Junko Ishida Japan
Chantragan Srisomsap Thailand
Ziming Dong China
Carlos J. Ciudad Spain
Sayeon Cho relative to Ying Su China Ying Su's profile →
Citations per field
00.5×1.5×
Ying Su · 1×
Citations per year

Countries citing papers authored by Sayeon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sayeon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayeon Cho. 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 Sayeon Cho. The network helps show where Sayeon Cho may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20231
4 202225
5 20217
6 201736
7 20169
8 201615
9 201525
10 201521
11 20133
12 201020
13 200952
14
Proteome Analysis of Bacillus subtilis When Overproducing Secretory Protein
20062
15 200612
16 200629
17 200559
18 200435
19 200423
20 200427

About Sayeon Cho

Sayeon Cho is a scholar working on Toxicology, Molecular Biology, Cancer Research, Immunology and Biotechnology, having authored 124 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (29 papers), Galectins and Cancer Biology (20 papers), Ubiquitin and proteasome pathways (15 papers), NF-κB Signaling Pathways (11 papers), Cell death mechanisms and regulation (10 papers), Redox biology and oxidative stress (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Natural product bioactivities and synthesis (8 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (317 citations), Cell Biology (254 citations), Immunology (311 citations) and Genetics (369 citations). Sayeon Cho has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Byoung Chul Park, Do Hee Lee, Sung Goo Park, Hee‐Jung Choi, Partha Mukhopadhyay, Gisela Storz, Young-Chang Cho, Pieter C. Wensink, Kwang‐Hee Bae and Jihye Seo. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecules and Cells, PROTEOMICS, BMB Reports 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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