Ming‐Chuan Hsu

2.3k total citations
24 papers, 1.3k citations indexed

About

Ming‐Chuan Hsu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ming‐Chuan Hsu has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Ming‐Chuan Hsu's work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (7 papers) and Ubiquitin and proteasome pathways (6 papers). Ming‐Chuan Hsu is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (7 papers) and Ubiquitin and proteasome pathways (6 papers). Ming‐Chuan Hsu collaborates with scholars based in Taiwan and United States. Ming‐Chuan Hsu's co-authors include Wen‐Chun Hung, Mei‐Ren Pan, Hui‐Chiu Chang, Li‐Tzong Chen, Mien‐Chie Hung, Yi Du, Chun‐Te Chen, Weiya Xia, Chien‐Chen Lai and Qingqing Ding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Ming‐Chuan Hsu

23 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Chuan Hsu Taiwan 16 987 373 330 152 126 24 1.3k
Yinggui Yang China 12 690 0.7× 317 0.8× 429 1.3× 119 0.8× 128 1.0× 23 1.1k
Sridevi Challa United States 15 1.0k 1.1× 530 1.4× 490 1.5× 112 0.7× 152 1.2× 25 1.6k
Fatih Ceteci Germany 14 923 0.9× 503 1.3× 413 1.3× 224 1.5× 151 1.2× 17 1.4k
Ita Novita Sari South Korea 12 908 0.9× 346 0.9× 516 1.6× 115 0.8× 128 1.0× 19 1.4k
Yi Xiao China 19 668 0.7× 344 0.9× 316 1.0× 135 0.9× 79 0.6× 71 1.1k
Wen-Chun Hung Taiwan 25 809 0.8× 369 1.0× 366 1.1× 69 0.5× 119 0.9× 30 1.3k
Xin Song China 16 662 0.7× 385 1.0× 211 0.6× 120 0.8× 94 0.7× 31 921
Qian Yan China 18 628 0.6× 342 0.9× 283 0.9× 135 0.9× 172 1.4× 66 1.1k
Ashraful Islam United States 7 939 1.0× 301 0.8× 316 1.0× 77 0.5× 127 1.0× 12 1.2k

Countries citing papers authored by Ming‐Chuan Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chuan Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chuan Hsu. 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 Ming‐Chuan Hsu. The network helps show where Ming‐Chuan Hsu may publish in the future.

Co-authorship network of co-authors of Ming‐Chuan Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chuan Hsu. A scholar is included among the top collaborators of Ming‐Chuan Hsu 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 Ming‐Chuan Hsu. Ming‐Chuan Hsu 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.
Hsu, Ming‐Chuan, Yu-Fu Chen, & Hirohito Yamaguchi. (2025). KMT2C mutations in breast cancer: molecular mechanisms of cancer promotion, clinical significance, and potential as biomarkers. Critical Reviews in Oncology/Hematology. 217. 105004–105004.
2.
Hsu, Ming‐Chuan, Chia‐Hsien Lin, Mei‐Ren Pan, et al.. (2019). Protein arginine methyltransferase 3-induced metabolic reprogramming is a vulnerable target of pancreatic cancer. Journal of Hematology & Oncology. 12(1). 79–79. 29 indexed citations
3.
Hsu, Ming‐Chuan & Wen‐Chun Hung. (2018). Pyruvate kinase M2 fuels multiple aspects of cancer cells: from cellular metabolism, transcriptional regulation to extracellular signaling. Molecular Cancer. 17(1). 35–35. 143 indexed citations
4.
Hsu, Ming‐Chuan, Mei‐Ren Pan, Pei‐Yi Chu, et al.. (2018). Protein Arginine Methyltransferase 3 Enhances Chemoresistance in Pancreatic Cancer by Methylating hnRNPA1 to Increase ABCG2 Expression. Cancers. 11(1). 8–8. 53 indexed citations
5.
Pan, Mei‐Ren, Ming‐Chuan Hsu, Li‐Tzong Chen, & Wen‐Chun Hung. (2017). Orchestration of H3K27 methylation: mechanisms and therapeutic implication. Cellular and Molecular Life Sciences. 75(2). 209–223. 70 indexed citations
6.
Pan, Mei‐Ren, Ming‐Chuan Hsu, Chi‐Wen Luo, et al.. (2016). The histone methyltransferase G9a as a therapeutic target to override gemcitabine resistance in pancreatic cancer. Oncotarget. 7(38). 61136–61151. 50 indexed citations
7.
Pan, Mei‐Ren, Ming‐Chuan Hsu, Li‐Tzong Chen, & Wen‐Chun Hung. (2015). G9a orchestrates PCL3 and KDM7A to promote histone H3K27 methylation. Scientific Reports. 5(1). 35 indexed citations
8.
Khotskaya, Yekaterina B., Jia Shen, Mariano Ponz‐Sarvisé, et al.. (2014). S6K1 promotes invasiveness of breast cancer cells in a model of metastasis of triple-negative breast cancer.. PubMed Central. 38 indexed citations
9.
Khotskaya, Yekaterina B., Jia Shen, Shih-Shin Chang, et al.. (2014). Abstract A49: S6K1 promotes invasiveness of breast cancer cells in a novel model of triple-negative breast cancer metastasis. Molecular Cancer Research. 12(11_Supplement). A49–A49. 3 indexed citations
10.
Yamaguchi, Hirohito, Jennifer L. Hsu, Chun‐Te Chen, et al.. (2013). Caspase-Independent Cell Death Is Involved in the Negative Effect of EGF Receptor Inhibitors on Cisplatin in Non–Small Cell Lung Cancer Cells. Clinical Cancer Research. 19(4). 845–854. 110 indexed citations
11.
Chen, Jingyi, et al.. (2011). Bcr‐Abl oncogene stimulates jab1 expression via cooperative interaction of β‐catenin and STAT1 in chronic myeloid leukemia cells. Journal of Cellular Physiology. 226(11). 2849–2856. 8 indexed citations
12.
Hsu, Ming‐Chuan, et al.. (2011). The tumor suppressor RECK interferes with HER-2/Neu dimerization and attenuates its oncogenic signaling. FEBS Letters. 585(4). 591–595. 11 indexed citations
13.
Huo, Longfei, Ying‐Nai Wang, Weiya Xia, et al.. (2010). RNA helicase A is a DNA-binding partner for EGFR-mediated transcriptional activation in the nucleus. Proceedings of the National Academy of Sciences. 107(37). 16125–16130. 89 indexed citations
14.
Lee, Dung‐Fang, Hsu-Ping Kuo, Mo Liu, et al.. (2009). KEAP1 E3 Ligase-Mediated Downregulation of NF-κB Signaling by Targeting IKKβ. Molecular Cell. 36(1). 131–140. 333 indexed citations
15.
Hsu, Ming‐Chuan, Chee‐Yin Chai, Ming‐Feng Hou, et al.. (2008). Jab1 is overexpressed in human breast cancer and is a downstream target for HER-2/neu. Modern Pathology. 21(5). 609–616. 26 indexed citations
16.
Hsu, Ming‐Chuan, Chee‐Yin Chai, Ming‐Feng Hou, et al.. (2008). Jab1 is overexpressed in human breast cancer and is a downstream target for HER-2/neu. Modern Pathology. 4 indexed citations
17.
Hsu, Ming‐Chuan, Chao‐Cheng Huang, Hui‐Chiu Chang, Tsung‐Hui Hu, & Wen‐Chun Hung. (2008). Overexpression of Jab1 in Hepatocellular Carcinoma and Its Inhibition by Peroxisome Proliferator-Activated Receptorγ Ligands In vitro and In vivo. Clinical Cancer Research. 14(13). 4045–4052. 56 indexed citations
19.
Hsu, Ming‐Chuan, Hui‐Chiu Chang, & Wen‐Chun Hung. (2007). HER-2/neu transcriptionally activates Jab1 expression via the AKT/β-catenin pathway in breast cancer cells. Endocrine Related Cancer. 14(3). 655–667. 27 indexed citations
20.
Hsu, Ming‐Chuan, Hui‐Chiu Chang, & Wen‐Chun Hung. (2005). HER-2/neu Represses the Metastasis Suppressor RECK via ERK and Sp Transcription Factors to Promote Cell Invasion. Journal of Biological Chemistry. 281(8). 4718–4725. 98 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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