Song Yi Ko

1.3k total citations · 1 hit paper
20 papers, 948 citations indexed

About

Song Yi Ko is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Song Yi Ko has authored 20 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Song Yi Ko's work include Extracellular vesicles in disease (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Ovarian cancer diagnosis and treatment (3 papers). Song Yi Ko is often cited by papers focused on Extracellular vesicles in disease (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Ovarian cancer diagnosis and treatment (3 papers). Song Yi Ko collaborates with scholars based in United States, South Korea and Ukraine. Song Yi Ko's co-authors include Honami Naora, Ernst Lengyel, Hilary A. Kenny, Nicolas Barengo, András Ladányi, Frank C. Marini, Ju‐Seog Lee, Eric Jonasch, Huifang Guo and Won‐Jae Lee and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Cancer Cell.

In The Last Decade

Song Yi Ko

20 papers receiving 944 citations

Hit Papers

Neutrophils facilitate ovarian cancer premetastatic niche... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Yi Ko United States 15 516 358 283 255 109 20 948
Jan Dominik Kuhlmann Germany 18 510 1.0× 185 0.5× 446 1.6× 486 1.9× 191 1.8× 62 1.1k
Lizhou Jia China 19 468 0.9× 224 0.6× 433 1.5× 265 1.0× 66 0.6× 45 968
Manu P. Kumar United States 9 434 0.8× 258 0.7× 206 0.7× 139 0.5× 99 0.9× 10 797
Ece Kadioglu Switzerland 7 430 0.8× 355 1.0× 462 1.6× 255 1.0× 21 0.2× 8 883
María Villalba Spain 20 407 0.8× 341 1.0× 366 1.3× 232 0.9× 14 0.1× 35 959
Ileana Bortolomai Italy 17 283 0.5× 122 0.3× 246 0.9× 84 0.3× 67 0.6× 20 586
Yuan Mao China 20 497 1.0× 266 0.7× 445 1.6× 152 0.6× 25 0.2× 58 946
Anna Passarelli Italy 14 400 0.8× 365 1.0× 426 1.5× 183 0.7× 12 0.1× 34 880
Hillary J. Millar United States 9 483 0.9× 246 0.7× 356 1.3× 150 0.6× 14 0.1× 14 773
Tsutomu Imai Japan 8 595 1.2× 75 0.2× 330 1.2× 316 1.2× 117 1.1× 15 900

Countries citing papers authored by Song Yi Ko

Since Specialization
Citations

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

Fields of papers citing papers by Song Yi Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Yi Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Song Yi Ko. A scholar is included among the top collaborators of Song Yi Ko 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 Song Yi Ko. Song Yi Ko 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
2.
Lee, Sieun, Jihye Park, Eun Ju Kim, et al.. (2025). Hyaluronan network remodeling by ZEB1 and ITIH2 enhances the motility and invasiveness of cancer cells. Journal of Clinical Investigation. 135(11). 1 indexed citations
3.
Ko, Song Yi, et al.. (2024). Harnessing microRNA-enriched extracellular vesicles for liquid biopsy. Frontiers in Molecular Biosciences. 11. 1356780–1356780. 6 indexed citations
4.
Ko, Song Yi, et al.. (2023). Normal saline remodels the omentum and stimulates its receptivity for transcoelomic metastasis. JCI Insight. 8(12). 4 indexed citations
5.
Ko, Song Yi, et al.. (2023). The glycoprotein CD147 defines miRNA‐enriched extracellular vesicles that derive from cancer cells. Journal of Extracellular Vesicles. 12(4). e12318–e12318. 22 indexed citations
6.
Ko, Song Yi & Honami Naora. (2020). Extracellular Vesicle Membrane-Associated Proteins: Emerging Roles in Tumor Angiogenesis and Anti-Angiogenesis Therapy Resistance. International Journal of Molecular Sciences. 21(15). 5418–5418. 34 indexed citations
7.
Ko, Song Yi, Won‐Jae Lee, Hilary A. Kenny, et al.. (2019). Cancer-derived small extracellular vesicles promote angiogenesis by heparin-bound, bevacizumab-insensitive VEGF, independent of vesicle uptake. Communications Biology. 2(1). 386–386. 102 indexed citations
8.
Ko, Song Yi, et al.. (2018). Neutrophils facilitate ovarian cancer premetastatic niche formation in the omentum. The Journal of Experimental Medicine. 216(1). 176–194. 345 indexed citations breakdown →
9.
Ko, Song Yi, et al.. (2015). The homeoprotein DLX4 controls inducible nitric oxide synthase-mediated angiogenesis in ovarian cancer. Molecular Cancer. 14(1). 97–97. 16 indexed citations
10.
Ko, Song Yi, et al.. (2015). The Homeoprotein DLX4 Stimulates NF-κB Activation and CD44-Mediated Tumor–Mesothelial Cell Interactions in Ovarian Cancer. American Journal Of Pathology. 185(8). 2298–2308. 19 indexed citations
11.
Ko, Song Yi & Honami Naora. (2015). Adaptation of ovarian cancer cells to the peritoneal environment: Multiple mechanisms of the developmental patterning gene HOXA9. PubMed. 1(6). e379–e379. 10 indexed citations
12.
Usui, Akihiro, Song Yi Ko, Nicolas Barengo, & Honami Naora. (2014). P-Cadherin Promotes Ovarian Cancer Dissemination Through Tumor Cell Aggregation and Tumor–Peritoneum Interactions. Molecular Cancer Research. 12(4). 504–513. 38 indexed citations
13.
Ko, Song Yi & Honami Naora. (2014). HOXA9 promotes homotypic and heterotypic cell interactions that facilitate ovarian cancer dissemination via its induction of P-cadherin. Molecular Cancer. 13(1). 170–170. 30 indexed citations
14.
Ko, Song Yi & Honami Naora. (2014). Therapeutic strategies for targeting the ovarian tumor stroma. World Journal of Clinical Cases. 2(6). 194–194. 18 indexed citations
15.
Ko, Song Yi, András Ladányi, Ernst Lengyel, & Honami Naora. (2013). Expression of the Homeobox Gene HOXA9 in Ovarian Cancer Induces Peritoneal Macrophages to Acquire an M2 Tumor-Promoting Phenotype. American Journal Of Pathology. 184(1). 271–281. 59 indexed citations
16.
Ko, Song Yi, et al.. (2012). Dual Functions of the Homeoprotein DLX4 in Modulating Responsiveness of Tumor Cells to Topoisomerase II-Targeting Drugs. Cancer Research. 73(2). 1000–1010. 20 indexed citations
17.
Ko, Song Yi, Nicolas Barengo, András Ladányi, et al.. (2012). HOXA9 promotes ovarian cancer growth by stimulating cancer-associated fibroblasts. Journal of Clinical Investigation. 122(10). 3603–3617. 116 indexed citations
18.
Ko, Song Yi, Huifang Guo, Nicolas Barengo, & Honami Naora. (2009). Inhibition of Ovarian Cancer Growth by a Tumor-Targeting Peptide That Binds Eukaryotic Translation Initiation Factor 4E. Clinical Cancer Research. 15(13). 4336–4347. 60 indexed citations
19.
Ko, Song Yi, Ernst Lengyel, & Honami Naora. (2009). The Müllerian HOXA10 gene promotes growth of ovarian surface epithelial cells by stimulating epithelial–stromal interactions. Molecular and Cellular Endocrinology. 317(1-2). 112–119. 19 indexed citations
20.
Ko, Song Yi, et al.. (2006). Identification of Jmjd1a as a STAT3 Downstream Gene in mES Cells. Cell Structure and Function. 31(2). 53–62. 17 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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