Dong-Min Shi

720 total citations · 1 hit paper
21 papers, 484 citations indexed

About

Dong-Min Shi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Dong-Min Shi has authored 21 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Dong-Min Shi's work include MicroRNA in disease regulation (5 papers), Ferroptosis and cancer prognosis (3 papers) and Circular RNAs in diseases (3 papers). Dong-Min Shi is often cited by papers focused on MicroRNA in disease regulation (5 papers), Ferroptosis and cancer prognosis (3 papers) and Circular RNAs in diseases (3 papers). Dong-Min Shi collaborates with scholars based in China, Singapore and Ethiopia. Dong-Min Shi's co-authors include Wei‐Zhong Wu, Xinyu Bian, Lili Lu, Chengdong Qin, Jian Zhou, Jia Fan, Lixin Li, Xuehao Wang, Weiwei Tang and Jinhua Song and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Signal Transduction and Targeted Therapy.

In The Last Decade

Dong-Min Shi

20 papers receiving 478 citations

Hit Papers

Mechanism insights and therapeutic intervention of tumor ... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mechanism insights and therapeutic intervention of tumor metastasis: latest developments and perspectives
    2024 84 citations Dong-Min Shi, Jinhua Song et al. Signal Transduction and Targeted Therapy profile →

Peers

Dong-Min Shi
Danyang Shen China
Lixian Zeng China
Yanhua Wen China
Hao Xi China
Hong‐Yu Tseng Taiwan
Vahideh Zarrin Iran
Xiaoying Guan China
Kulsoom Zahra India
Danyang Shen China
Dong-Min Shi
Citations per year, relative to Dong-Min Shi Dong-Min Shi (= 1×) peers Danyang Shen

Countries citing papers authored by Dong-Min Shi

Since Specialization
Citations

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

Fields of papers citing papers by Dong-Min Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong-Min Shi. 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 Dong-Min Shi. The network helps show where Dong-Min Shi may publish in the future.

Co-authorship network of co-authors of Dong-Min Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Min Shi. A scholar is included among the top collaborators of Dong-Min Shi 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 Dong-Min Shi. Dong-Min Shi 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.
2.
Dong, Shuangshuang, Zhangfu Yang, Dandan Dong, et al.. (2025). ALOXE3 transcriptionally regulated by activating transcription factor 3 promotes HCC ferroptosis via ERK and JNK signaling pathway. International Immunopharmacology. 165. 115411–115411. 1 indexed citations
3.
Wang, Kaixuan, Dong-Min Shi, Xiaoli Shi, Jingyuan Wang, & Xinghao Ai. (2025). Obesity promotes immunotherapy efficacy by up-regulating the glycolytic-mediated histone lactacylation modification of CD8+ T cells. Frontiers in Pharmacology. 16. 1533464–1533464. 3 indexed citations
4.
Shi, Xiaoli, Dong-Min Shi, Yuxiao Wu, et al.. (2024). Cuproptosis-associated genes (CAGs) contribute to the prognosis prediction and potential therapeutic targets in hepatocellular carcinoma. Cellular Signalling. 117. 111072–111072. 3 indexed citations
5.
Shi, Dong-Min, et al.. (2024). Mechanism insights and therapeutic intervention of tumor metastasis: latest developments and perspectives. Signal Transduction and Targeted Therapy. 9(1). 192–192. 84 indexed citations breakdown →
6.
Yang, Yumei, Lei Sun, Wei Liu, et al.. (2024). Neurotransmitters: Impressive regulators of tumor progression. Biomedicine & Pharmacotherapy. 176. 116844–116844. 9 indexed citations
7.
Bian, Xinyu, et al.. (2023). miR-612 Enhances RSL3-Induced Ferroptosis of Hepatocellular Carcinoma Cells via Mevalonate Pathway. Journal of Hepatocellular Carcinoma. Volume 10. 2173–2185. 17 indexed citations
8.
Shi, Dong-Min, et al.. (2022). Genomic and transcriptomic profiling reveals key molecules in metastatic potentials and organ-tropisms of hepatocellular carcinoma. Cellular Signalling. 104. 110565–110565. 2 indexed citations
9.
Shi, Dong-Min, et al.. (2020). miR-296-5p suppresses stem cell potency of hepatocellular carcinoma cells via regulating Brg1/Sall4 axis. Cellular Signalling. 72. 109650–109650. 30 indexed citations
10.
Xu, Beili, et al.. (2020). S100A6 promotes proliferation and migration of HepG2 cells via increased ubiquitin-dependent degradation of p53. Open Medicine. 15(1). 317–326. 12 indexed citations
11.
12.
Shi, Dong-Min, Xinyu Bian, Chengdong Qin, & Wei‐Zhong Wu. (2018). miR-106b-5p promotes stem cell-like properties of hepatocellular carcinoma cells by targeting PTEN via PI3K/Akt pathway. OncoTargets and Therapy. Volume 11. 571–585. 50 indexed citations
13.
Shi, Dong-Min, Lixin Li, Xinyu Bian, et al.. (2018). miR-296-5p suppresses EMT of hepatocellular carcinoma via attenuating NRG1/ERBB2/ERBB3 signaling. Journal of Experimental & Clinical Cancer Research. 37(1). 294–294. 72 indexed citations
14.
Yang, Liu, Dongli Liu, Lili Dong, et al.. (2016). miR-612 suppresses stem cell-like property of hepatocellular carcinoma cells by modulating Sp1/Nanog signaling. Cell Death and Disease. 7(9). e2377–e2377. 42 indexed citations
15.
Lu, Xiangdong, Caiyun Yan, Yi Huang, et al.. (2016). Mouse double minute 2 (MDM2) upregulates Snail expression and induces epithelial-to-mesenchymal transition in breast cancer cells in vitro and in vivo. Oncotarget. 7(24). 37177–37191. 27 indexed citations
16.
Zhang, Qiang, Dong-Min Shi, Jing Liu, et al.. (2015). Glycoprotein Ia C807T: Polymorphisms and Their Association with Platelet Function in Patients with the Acute Coronary Syndrome. Cardiology. 132(4). 213–220. 3 indexed citations
17.
Qian, Yingying, Dong-Min Shi, Jinrong Qiu, et al.. (2015). ObRb downregulation increases breast cancer cell sensitivity to tamoxifen. Tumor Biology. 36(9). 6813–6821. 19 indexed citations
18.
Shi, Dong-Min, et al.. (2014). Evaluating the diagnostic value of vWF:Ag, D-D and FDP in patients with acute cerebral infarction using ROC curves. Experimental and Therapeutic Medicine. 7(6). 1573–1577. 11 indexed citations
19.
Shi, Dong-Min, et al.. (2014). Developing a framework for analyzing organizational stories. DR-NTU (Nanyang Technological University). 24(1). 1 indexed citations
20.
Yu, Lei, Xiao‐Jiang Chen, Qiang Ding, et al.. (2008). [Expression of cyclooxygenase-2 in bladder transitional cell carcinoma and the significance thereof].. PubMed. 88(38). 2683–4. 2 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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