Won‐Min Song

3.2k total citations
34 papers, 1.1k citations indexed

About

Won‐Min Song is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Won‐Min Song has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Won‐Min Song's work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (6 papers) and Single-cell and spatial transcriptomics (5 papers). Won‐Min Song is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (6 papers) and Single-cell and spatial transcriptomics (5 papers). Won‐Min Song collaborates with scholars based in United States, China and Australia. Won‐Min Song's co-authors include Bin Zhang, Bin Zhang, Tomaso Aste, Tiziana Di Matteo, Minghui Wang, Zhidong Tu, Xianxiao Zhou, Xiandong Lin, Yongzhong Zhao and Peng Xu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Won‐Min Song

30 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won‐Min Song United States 17 540 148 129 116 108 34 1.1k
Seungyeul Yoo United States 14 587 1.1× 133 0.9× 184 1.4× 114 1.0× 79 0.7× 26 944
Yijun Cheng China 18 413 0.8× 101 0.7× 150 1.2× 63 0.5× 98 0.9× 52 1.2k
Zsolt Horváth Hungary 20 694 1.3× 122 0.8× 187 1.4× 66 0.6× 56 0.5× 83 1.6k
Sonny Khin United States 12 955 1.8× 116 0.8× 131 1.0× 228 2.0× 95 0.9× 24 1.8k
Jason Shapiro United States 14 638 1.2× 104 0.7× 213 1.7× 122 1.1× 57 0.5× 27 1.5k
Venkata Satagopam Luxembourg 19 1.1k 2.0× 161 1.1× 158 1.2× 69 0.6× 190 1.8× 66 1.6k
Denis Torre United States 12 1.1k 2.0× 109 0.7× 270 2.1× 61 0.5× 210 1.9× 17 1.6k
Alexander A. Morgan United States 28 1.5k 2.7× 179 1.2× 93 0.7× 74 0.6× 214 2.0× 44 2.3k
Gregory E. Gonye United States 20 816 1.5× 76 0.5× 157 1.2× 60 0.5× 49 0.5× 40 1.3k

Countries citing papers authored by Won‐Min Song

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Min Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Min Song. 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 Won‐Min Song. The network helps show where Won‐Min Song may publish in the future.

Co-authorship network of co-authors of Won‐Min Song

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Min Song. A scholar is included among the top collaborators of Won‐Min Song 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 Won‐Min Song. Won‐Min Song 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.
Song, Won‐Min, Ming Chen, Christian V. Forst, & Bin Zhang. (2025). Unsupervised multiscale clustering of single-cell transcriptomes to identify hierarchical structures of cell subtypes. GigaScience. 14.
2.
Xu, Yitian, Kyeongah Kang, Brian A. Coakley, et al.. (2025). Modulation of tumor inflammatory signaling and drug sensitivity by CMTM4. The EMBO Journal. 44(6). 1866–1883.
3.
Whitney, Kristen, Won‐Min Song, Abhijeet Sharma, et al.. (2024). Single-cell transcriptomic and neuropathologic analysis reveals dysregulation of the integrated stress response in progressive supranuclear palsy. Acta Neuropathologica. 148(1). 80–80. 6 indexed citations
4.
Wang, Erming, Minghui Wang, Lei Guo, et al.. (2023). Genome‐wide methylomic regulation of multiscale gene networks in Alzheimer's disease. Alzheimer s & Dementia. 19(8). 3472–3495. 16 indexed citations
5.
Neff, Ryan, Yifei Sun, Igor Katsyv, et al.. (2023). Dysfunction of ubiquitin protein ligase MYCBP2 leads to cell resilience in human breast cancers. NAR Cancer. 5(3). zcad036–zcad036.
6.
7.
Forst, Christian V., Qian Wang, Xianxiao Zhou, et al.. (2023). Multiscale network analysis identifies potential receptors for SARS‐CoV‐2 and reveals their tissue‐specific and age‐dependent expression. FEBS Letters. 597(10). 1384–1402. 1 indexed citations
8.
Neff, Ryan, Won‐Min Song, Xianxiao Zhou, et al.. (2023). Multi‐omics‐based analysis of high grade serous ovarian cancer subtypes reveals distinct molecular processes linked to patient prognosis. FEBS Open Bio. 13(4). 617–637.
9.
Wu, Jason, Fanyan Meng, Lun Dong, et al.. (2022). DDR2 Coordinates EMT and Metabolic Reprogramming as a Shared Effector of FOXQ1 and SNAI1. Cancer Research Communications. 2(11). 1388–1403. 7 indexed citations
10.
Jensen, Tanner, Jonathon Sens, Kuixi Zhu, et al.. (2022). Culture shock: microglial heterogeneity, activation, and disrupted single-cell microglial networks in vitro. Molecular Neurodegeneration. 17(1). 26–26. 49 indexed citations
11.
Xu, Peng, Minghui Wang, Won‐Min Song, et al.. (2022). The landscape of human tissue and cell type specific expression and co-regulation of senescence genes. Molecular Neurodegeneration. 17(1). 5–5. 72 indexed citations
12.
Song, Won‐Min, Praveen Agrawal, Bárbara Fontanals-Cirera, et al.. (2021). Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis. Nature Communications. 12(1). 1214–1214. 30 indexed citations
13.
Song, Won‐Min, Xiandong Lin, Xuehong Liao, et al.. (2019). Multiscale network analysis reveals molecular mechanisms and key regulators of the tumor microenvironment in gastric cancer. International Journal of Cancer. 146(5). 1268–1280. 16 indexed citations
14.
Wang, Qian, Yuanxi Zhang, Minghui Wang, et al.. (2019). The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease. Nature Communications. 10(1). 5234–5234. 68 indexed citations
15.
Choi, Hyunok, Won‐Min Song, Minghui Wang, Radim J. Šrám, & Bin Zhang. (2019). Benzo[a]pyrene is associated with dysregulated myelo-lymphoid hematopoiesis in asthmatic children. Environment International. 128. 218–232. 15 indexed citations
16.
Forst, Christian V., Bin Zhou, Minghui Wang, et al.. (2017). Integrative gene network analysis identifies key signatures, intrinsic networks and host factors for influenza virus A infections. npj Systems Biology and Applications. 3(1). 35–35. 12 indexed citations
17.
Bansal, Ruchi, Shigeki Nakagawa, Saleh Yazdani, et al.. (2017). Integrin alpha 11 in the regulation of the myofibroblast phenotype: implications for fibrotic diseases. Experimental & Molecular Medicine. 49(11). e396–e396. 59 indexed citations
18.
Goossens, Nicolas, Yujin Hoshida, Won‐Min Song, et al.. (2015). Nonalcoholic Steatohepatitis Is Associated With Increased Mortality in Obese Patients Undergoing Bariatric Surgery. Clinical Gastroenterology and Hepatology. 14(11). 1619–1628. 38 indexed citations
19.
Song, Won‐Min, Tiziana Di Matteo, & Tomaso Aste. (2012). Hierarchical Information Clustering by Means of Topologically Embedded Graphs. PLoS ONE. 7(3). e31929–e31929. 87 indexed citations
20.
Song, Won‐Min, Tiziana Di Matteo, & Tomaso Aste. (2012). Building complex networks with Platonic solids. Physical Review E. 85(4). 46115–46115. 30 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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