Min Soon Cho

3.1k total citations
31 papers, 1.6k citations indexed

About

Min Soon Cho is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Min Soon Cho has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Immunology. Recurrent topics in Min Soon Cho's work include Inflammatory Biomarkers in Disease Prognosis (10 papers), Complement system in diseases (6 papers) and Extracellular vesicles in disease (6 papers). Min Soon Cho is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (10 papers), Complement system in diseases (6 papers) and Extracellular vesicles in disease (6 papers). Min Soon Cho collaborates with scholars based in United States, Canada and South Korea. Min Soon Cho's co-authors include Anil K. Sood, Vahid Afshar‐Kharghan, Elsa R. Flores, Xiaohua Su, Young Jin Gi, Yu-Li Lin, Justin Bottsford-Miller, Behrouz Zand, Hyun Jin Choi and Hernan G. Vasquez and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Min Soon Cho

30 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Soon Cho United States 17 845 776 389 356 155 31 1.6k
Myriam Labelle United States 13 574 0.7× 631 0.8× 235 0.6× 194 0.5× 146 0.9× 19 1.3k
Bernhard Barleon Germany 14 1.3k 1.5× 421 0.5× 577 1.5× 166 0.5× 74 0.5× 17 1.7k
Jennifer A. Doll United States 21 921 1.1× 363 0.5× 371 1.0× 180 0.5× 106 0.7× 29 1.6k
Julien Guglielmi France 13 965 1.1× 946 1.2× 269 0.7× 126 0.4× 157 1.0× 22 2.0k
Slawomir Wojtowicz‐Praga United States 14 675 0.8× 738 1.0× 560 1.4× 358 1.0× 179 1.2× 20 1.6k
Veronica A. Carroll United Kingdom 15 595 0.7× 160 0.2× 530 1.4× 125 0.4× 99 0.6× 23 1.1k
R.L. Kendall United States 6 1000 1.2× 451 0.6× 297 0.8× 242 0.7× 44 0.3× 7 1.5k
Domenico Maglione Italy 12 1.6k 1.9× 508 0.7× 424 1.1× 313 0.9× 109 0.7× 14 2.2k
B Nico Italy 16 899 1.1× 379 0.5× 213 0.5× 339 1.0× 374 2.4× 22 1.5k
R.S. Lemons United States 8 871 1.0× 238 0.3× 376 1.0× 216 0.6× 224 1.4× 9 1.3k

Countries citing papers authored by Min Soon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Min Soon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Soon Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Min Soon Cho. A scholar is included among the top collaborators of Min Soon 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 Min Soon Cho. Min Soon 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.
Kermany, Daniel, Weijie Zhang, Lin Wang, et al.. (2025). Multiscale 3D spatial analysis of the tumor microenvironment using whole‐tissue digital histopathology. Cancer Communications. 45(3). 386–390. 1 indexed citations
2.
Cho, Min Soon, B A Wharton, Hani Lee, et al.. (2024). Podoplanin and microthrombi in lung injury. PubMed. 2(1). 100034–100034.
3.
Cho, Min Soon, et al.. (2023). The impact of the complement receptors C3aR1 and C5aR1 on the progression of melanoma. The Journal of Immunology. 210(Supplement_1). 89.09–89.09. 1 indexed citations
4.
Gonzalez, Ricardo J., Nina M. Muñoz, Min Soon Cho, et al.. (2023). Role of circulating mitochondria in venous thrombosis in glioblastoma. Journal of Thrombosis and Haemostasis. 21(8). 2202–2212. 5 indexed citations
5.
Corvigno, Sara, Kwong‐Kwok Wong, Min Soon Cho, et al.. (2022). Novel Markers for Liquid Biopsies in Cancer Management: Circulating Platelets and Extracellular Vesicles. Molecular Cancer Therapeutics. 21(7). 1067–1075. 14 indexed citations
6.
Cho, Min Soon, Hani Lee, Ricardo J. Gonzalez, et al.. (2022). Platelets Increase the Expression of PD-L1 in Ovarian Cancer. Cancers. 14(10). 2498–2498. 21 indexed citations
7.
Kwon, Juntae, Min Soon Cho, Yifan Sun, et al.. (2021). Targeting DDX3X Triggers Antitumor Immunity via a dsRNA-Mediated Tumor-Intrinsic Type I Interferon Response. Cancer Research. 81(13). 3607–3620. 40 indexed citations
8.
Cho, Min Soon, Jiasong Li, Ricardo J. Gonzalez, et al.. (2021). The effect of platelet G proteins on platelet extravasation and tumor growth in the murine model of ovarian cancer. Blood Advances. 5(7). 1947–1951. 12 indexed citations
9.
Sasano, Tomoyuki, Ricardo J. Gonzalez, Nina M. Muñoz, et al.. (2021). Podoplanin promotes tumor growth, platelet aggregation, and venous thrombosis in murine models of ovarian cancer. Journal of Thrombosis and Haemostasis. 20(1). 104–114. 37 indexed citations
10.
Sasano, Tomoyuki, Min Soon Cho, Cristian Rodriguez‐Aguayo, et al.. (2020). Role of tissue-factor bearing extracellular vesicles released from ovarian cancer cells in platelet aggregation in vitro and venous thrombosis in mice. SHILAP Revista de lepidopterología. 2. 100020–100020. 14 indexed citations
11.
Hu, Qianghua, Takeshi Hisamatsu, Monika Haemmerle, et al.. (2017). Role of Platelet-Derived Tgfβ1 in the Progression of Ovarian Cancer. Clinical Cancer Research. 23(18). 5611–5621. 63 indexed citations
12.
Cho, Min Soon, Kyunghee Noh, Monika Haemmerle, et al.. (2017). Role of ADP receptors on platelets in the growth of ovarian cancer. Blood. 130(10). 1235–1242. 99 indexed citations
13.
Bottsford-Miller, Justin, Hyun Jin Choi, Heather J. Dalton, et al.. (2014). Differential Platelet Levels Affect Response to Taxane-Based Therapy in Ovarian Cancer. Clinical Cancer Research. 21(3). 602–610. 73 indexed citations
14.
Choi, Hyun Jin, Guillermo N. Armaiz-Peña, Sunila Pradeep, et al.. (2014). Anti-vascular therapies in ovarian cancer: moving beyond anti-VEGF approaches. Cancer and Metastasis Reviews. 34(1). 19–40. 71 indexed citations
15.
Cho, Min Soon, Hernan G. Vasquez, Rajesha Rupaimoole, et al.. (2014). Autocrine Effects of Tumor-Derived Complement. Cell Reports. 6(6). 1085–1095. 165 indexed citations
16.
Cho, Min Soon, Justin Bottsford-Miller, Hernan G. Vasquez, et al.. (2012). Platelets increase the proliferation of ovarian cancer cells. Blood. 120(24). 4869–4872. 192 indexed citations
17.
Su, Xiaohua, Deepavali Chakravarti, Min Soon Cho, et al.. (2010). TAp63 suppresses metastasis through coordinate regulation of Dicer and miRNAs. Nature. 467(7318). 986–990. 351 indexed citations
18.
Cho, Min Soon, et al.. (2010). ΔNp63 transcriptionally regulatesbrachyury, a gene with diverse roles in limb development, tumorigenesis and metastasis. Cell Cycle. 9(12). 2434–2441. 21 indexed citations
19.
Su, Xiaohua, Maryline Paris, Young Jin Gi, et al.. (2009). TAp63 Prevents Premature Aging by Promoting Adult Stem Cell Maintenance. Cell stem cell. 5(1). 64–75. 192 indexed citations
20.
Cho, Min Soon, et al.. (1999). Allelic Frequencies of Six (CA)n Microsatellite Markers of the Dystrophin Gene in the Korean Population. Human Heredity. 49(4). 205–207. 3 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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