Sayeon Cho

3.5k total citations
124 papers, 2.8k citations indexed

About

Sayeon Cho is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Sayeon Cho has authored 124 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 25 papers in Immunology and 18 papers in Cancer Research. Recurrent topics in Sayeon Cho's work include Protein Tyrosine Phosphatases (29 papers), Galectins and Cancer Biology (20 papers) and Ubiquitin and proteasome pathways (15 papers). Sayeon Cho is often cited by papers focused on Protein Tyrosine Phosphatases (29 papers), Galectins and Cancer Biology (20 papers) and Ubiquitin and proteasome pathways (15 papers). Sayeon Cho collaborates with scholars based in South Korea, United States and Japan. Sayeon Cho's co-authors include Byoung Chul Park, Do Hee Lee, Sung Goo Park, Partha Mukhopadhyay, Gisela Storz, Hee‐Jung Choi, Young-Chang Cho, Pieter C. Wensink, Kwang‐Hee Bae and Jihye Seo and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Sayeon Cho

122 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sayeon Cho South Korea 30 1.8k 369 317 311 288 124 2.8k
Seung Jun Kim South Korea 31 1.9k 1.0× 213 0.6× 348 1.1× 306 1.0× 323 1.1× 128 2.9k
Manabu Kurokawa United States 31 1.7k 0.9× 290 0.8× 439 1.4× 263 0.8× 431 1.5× 72 3.4k
Verónique Noé Spain 30 1.8k 1.0× 192 0.5× 397 1.3× 206 0.7× 444 1.5× 109 2.8k
Ying Su China 33 1.8k 1.0× 429 1.2× 305 1.0× 243 0.8× 421 1.5× 139 3.3k
Alessandro Paiardini Italy 34 2.4k 1.3× 268 0.7× 348 1.1× 136 0.4× 285 1.0× 130 3.5k
Junko Ishida Japan 9 1.6k 0.9× 691 1.9× 246 0.8× 291 0.9× 468 1.6× 20 3.6k
Meng‐Er Huang France 31 3.6k 2.0× 520 1.4× 329 1.0× 415 1.3× 357 1.2× 73 4.5k
George R. Oliver United States 8 1.9k 1.0× 169 0.5× 304 1.0× 405 1.3× 398 1.4× 10 2.8k
J. Jefferson P. Perry United States 29 2.5k 1.3× 263 0.7× 285 0.9× 164 0.5× 680 2.4× 54 3.3k
Paul Waring Australia 31 1.6k 0.9× 400 1.1× 332 1.0× 526 1.7× 496 1.7× 68 3.0k

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 of co-authors of Sayeon Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sayeon Cho. A scholar is included among the top collaborators of Sayeon Cho 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 Sayeon Cho. Sayeon Cho 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
1.
Yoon, Haelim, Yang Gong, Jihye Seo, et al.. (2025). Anti-inflammatory and antioxidant effects of Pogostemon stellatus (Lour.) Kuntze via MAPK, NF-κB, and Nrf2 signaling pathways in LPS-activated RAW 264.7 macrophages. Frontiers in Pharmacology. 16. 1679919–1679919. 1 indexed citations
2.
Cho, Sayeon, et al.. (2024). NSC-38270 Exhibits Anti-invasive and Pro-apoptotic Effects on Hepatocellular Carcinoma Huh7 Cells. Anticancer Research. 44(9). 3857–3866.
3.
Park, Ji Young, et al.. (2023). Anti-migration and anti-invasion effects of LY-290181 on breast cancer cell lines through the inhibition of Twist1. BMB Reports. 56(7). 410–415. 1 indexed citations
4.
5.
Ahn, Jae-Sook, Tae‐Hyung Kim, Yeo‐Kyeoung Kim, et al.. (2019). Remission clone in acute myeloid leukemia shows growth advantage after chemotherapy but is distinct from leukemic clone. Experimental Hematology. 75. 26–30. 1 indexed citations
6.
7.
Kim, Younghyun, et al.. (2014). Inhibition of DUSP13B Phosphatase Activity by PTP Inhibitor V. Bulletin of the Korean Chemical Society. 35(10). 3119–3121. 1 indexed citations
8.
Seo, Huiyun & Sayeon Cho. (2013). Inhibition of Dual-specificity Phosphatase 14 (DUSP14) by PTP Inhibitor V. Bulletin of the Korean Chemical Society. 34(12). 3871–3873. 2 indexed citations
9.
Park, Jae Eun, Sung Goo Park, Do Hee Lee, et al.. (2009). NSC-87877, inhibitor of SHP-1/2 PTPs, inhibits dual-specificity phosphatase 26 (DUSP26). Biochemical and Biophysical Research Communications. 381(4). 491–495. 52 indexed citations
10.
Lee, Hana, Phil Young Lee, Sunghyun Kang, et al.. (2009). Reduced formation of advanced glycation endproducts via interactions between glutathione peroxidase 3 and dihydroxyacetone kinase 1. Biochemical and Biophysical Research Communications. 389(1). 177–180. 9 indexed citations
11.
Jang, Mi, Sunghyun Kang, Do Hee Lee, et al.. (2008). Mining of Caspase-7 Substrates Using a Degradomic Approach. Molecules and Cells. 26(2). 152–157. 14 indexed citations
12.
Lee, Ah Young, Sung Goo Park, Mi Jang, et al.. (2006). Proteomic analysis of pathogenic bacterium Vibrio vulnificus. PROTEOMICS. 6(4). 1283–1289. 12 indexed citations
13.
Lee, Do-Hee, et al.. (2006). Proteome Analysis of Bacillus subtilis When Overproducing Secretory Protein. Journal of Microbiology and Biotechnology. 16(3). 368–373. 2 indexed citations
14.
Park, Jae Eun, Sung Goo Park, Pyung Keun Myung, et al.. (2005). Binding and regulation of hypoxia-inducible factor-1 by the inhibitory PAS proteins. Biochemical and Biophysical Research Communications. 337(1). 209–215. 21 indexed citations
15.
Lee, Ah Young, Byoung Chul Park, Mi Jang, et al.. (2004). Identification of caspase‐3 degradome by two‐dimensional gel electrophoresis and matrix‐assisted laser desorption/ionization‐time of flight analysis. PROTEOMICS. 4(11). 3429–3436. 44 indexed citations
16.
Cho, Sayeon, et al.. (2004). Co-chaperone CHIP associates with mutant Cu/Zn-superoxide dismutase proteins linked to familial amyotrophic lateral sclerosis and promotes their degradation by proteasomes. Biochemical and Biophysical Research Communications. 321(3). 574–583. 35 indexed citations
17.
Cho, Sayeon, et al.. (2004). Protein-protein Interaction Networks: from Interactions to Networks. BMB Reports. 37(1). 45–52. 47 indexed citations
18.
Yoo, Young‐Gun, Sayeon Cho, Sun Park, & Mi‐Ock Lee. (2004). The carboxy‐terminus of the hepatitis B virus X protein is necessary and sufficient for the activation of hypoxia‐inducible factor‐1α. FEBS Letters. 577(1-2). 121–126. 47 indexed citations
19.
Park, Sung Goo, et al.. (2004). Identification of B‐cell translocation gene 1 as a biomarker for monitoring the remission of acute myeloid leukemia. PROTEOMICS. 4(11). 3456–3463. 23 indexed citations
20.
Cho, Sayeon, et al.. (1996). Sex-Specific and Non-Sex-Specific Oligomerization Domains in Both of the doublesex Transcription Factors from Drosophila melanogaster. Molecular and Cellular Biology. 16(6). 3106–3111. 72 indexed citations

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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