Seongho Ryu

4.3k total citations · 1 hit paper
54 papers, 3.3k citations indexed

About

Seongho Ryu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Seongho Ryu has authored 54 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 21 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Seongho Ryu's work include MicroRNA in disease regulation (13 papers), Extracellular vesicles in disease (13 papers) and Immunotherapy and Immune Responses (6 papers). Seongho Ryu is often cited by papers focused on MicroRNA in disease regulation (13 papers), Extracellular vesicles in disease (13 papers) and Immunotherapy and Immune Responses (6 papers). Seongho Ryu collaborates with scholars based in South Korea, United States and Thailand. Seongho Ryu's co-authors include Vivek Mittal, Hyejin Choi, Dingcheng Gao, Linda T. Vahdat, Nasser K. Altorki, Anna Durrans, Jianting Sheng, Stephen T.C. Wong, Fuhai Li and Tina El Rayes and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Seongho Ryu

51 papers receiving 3.3k citations

Hit Papers

Epithelial-to-mesenchymal transition is not required for ... 2015 2026 2018 2022 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seongho Ryu South Korea 23 1.9k 1.3k 1.1k 571 300 54 3.3k
Lisa Oliver France 40 2.6k 1.4× 838 0.7× 839 0.8× 466 0.8× 189 0.6× 102 4.2k
Claire M. Dubois Canada 33 1.7k 0.9× 643 0.5× 738 0.7× 764 1.3× 473 1.6× 83 3.8k
Kathryn L. Schwertfeger United States 29 1.8k 1.0× 986 0.8× 891 0.8× 665 1.2× 231 0.8× 53 3.1k
Kanaga Sabapathy Singapore 40 3.5k 1.9× 2.1k 1.7× 1.2k 1.1× 755 1.3× 221 0.7× 96 5.0k
Lu‐Hai Wang United States 39 3.1k 1.7× 1.4k 1.1× 1.1k 1.1× 536 0.9× 410 1.4× 87 4.6k
Yunlong Yang China 30 1.5k 0.8× 993 0.8× 922 0.8× 618 1.1× 357 1.2× 62 3.2k
Young Il Yeom South Korea 36 3.0k 1.6× 585 0.5× 848 0.8× 526 0.9× 253 0.8× 99 4.2k
Ekrem Emrah Er United States 9 1.7k 0.9× 791 0.6× 397 0.4× 534 0.9× 418 1.4× 12 3.0k
Gianluca Storci Italy 31 1.7k 0.9× 1.3k 1.0× 717 0.7× 462 0.8× 185 0.6× 53 3.1k

Countries citing papers authored by Seongho Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Seongho Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongho Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Seongho Ryu. A scholar is included among the top collaborators of Seongho Ryu 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 Seongho Ryu. Seongho Ryu 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.
Lee, Haekyung, Jae‐A Han, Hee‐Sung Ahn, et al.. (2025). Impact of diabetes on proteomic changes in circulating extracellular vesicles in individuals with obesity before and after bariatric surgery. International Journal of Obesity. 49(9). 1874–1881.
2.
Lee, Yoon‐Jin, Chang Yeol Lee, Sang Soo Kim, et al.. (2025). Metabolic Reprogramming Into a Glycolysis Phenotype Induced by Extracellular Vesicles Derived From Prostate Cancer Cells. Molecular & Cellular Proteomics. 24(4). 100944–100944. 3 indexed citations
3.
Kim, Ho, et al.. (2024). Characterization of exosomal microRNAs in preterm infants fed with breast milk and infant formula. Frontiers in Nutrition. 11. 1339919–1339919. 2 indexed citations
4.
Bae, Yun‐Ui, et al.. (2024). ANKRD1 Promotes Breast Cancer Metastasis by Activating NF-κB-MAGE-A6 Pathway. Cancers. 16(19). 3306–3306. 2 indexed citations
5.
Han, Jae‐A, et al.. (2024). Apolipoprotein L1 is a tumor suppressor in clear cell renal cell carcinoma metastasis. Frontiers in Oncology. 14. 1371934–1371934. 1 indexed citations
7.
Chang, Young Woon, Soung Won Jeong, Jae Young Jang, et al.. (2022). The diagnostic value of circulating tumor DNA in hepatitis B virus induced hepatocellular carcinoma: a systematic review and meta-analysis. SHILAP Revista de lepidopterología. 22(2). 167–177. 4 indexed citations
8.
Chang, Young Woon, Jae‐A Han, Soung Won Jeong, et al.. (2021). Clinical impact of serum exosomal microRNA in liver fibrosis. PLoS ONE. 16(9). e0255672–e0255672. 18 indexed citations
9.
Park, Seong Kyu, et al.. (2020). Whole leukemia cell vaccines: Past progress and future directions. Vaccine. 38(22). 3811–3820. 9 indexed citations
10.
Ryu, Seongho, et al.. (2020). Downregulation of glypican-4 facilitates breast cancer progression by inducing cell migration and proliferation. Biochemical and Biophysical Research Communications. 526(1). 91–97. 39 indexed citations
11.
Lee, Jong-Uk, Eunyoung Shim, Hyun Sub Cheong, et al.. (2019). Global DNA Methylation Pattern of Fibroblasts in Idiopathic Pulmonary Fibrosis. DNA and Cell Biology. 38(9). 905–914. 23 indexed citations
12.
Lee, Mihye, et al.. (2019). Exosomes in Food: Health Benefits and Clinical Relevance in Diseases. Advances in Nutrition. 11(3). 687–696. 75 indexed citations
13.
Shin, Changsik, Jae‐A Han, Bongseo Choi, et al.. (2015). CD8α− Dendritic Cells Induce Antigen-Specific T Follicular Helper Cells Generating Efficient Humoral Immune Responses. Cell Reports. 11(12). 1929–1940. 63 indexed citations
14.
Fischer, Kari, Anna Durrans, Sharrell Lee, et al.. (2015). Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance. Nature. 527(7579). 472–476. 1395 indexed citations breakdown →
15.
Durrans, Anna, Dingcheng Gao, Ravi Gupta, et al.. (2015). Identification of Reprogrammed Myeloid Cell Transcriptomes in NSCLC. PLoS ONE. 10(6). e0129123–e0129123. 15 indexed citations
16.
Catena, Raúl, Nandita Bhattacharya, Tina El Rayes, et al.. (2013). Bone Marrow–Derived Gr1+ Cells Can Generate a Metastasis-Resistant Microenvironment Via Induced Secretion of Thrombospondin-1. Cancer Discovery. 3(5). 578–589. 102 indexed citations
17.
Ryu, Seongho, Kevin McDonnell, Hyejin Choi, et al.. (2013). Suppression of miRNA-708 by Polycomb Group Promotes Metastases by Calcium-Induced Cell Migration. Cancer Cell. 23(1). 63–76. 126 indexed citations
18.
Gao, Dingcheng, Natasha Joshi, Hyejin Choi, et al.. (2012). Myeloid Progenitor Cells in the Premetastatic Lung Promote Metastases by Inducing Mesenchymal to Epithelial Transition. Cancer Research. 72(6). 1384–1394. 234 indexed citations
19.
Ryu, Seongho, et al.. (2007). Increased leukocyte adhesion to vascular endothelium in preeclampsia is inhibited by antioxidants. American Journal of Obstetrics and Gynecology. 196(4). 400.e1–400.e8. 14 indexed citations
20.
Ryu, Seongho, et al.. (2001). Evidence for estradiol-induced apoptosis and dysregulated T cell maturation in the thymus. Toxicology. 163(1). 49–62. 88 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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