Ming Shi

481 total citations
15 papers, 360 citations indexed

About

Ming Shi is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Ming Shi has authored 15 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 12 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ming Shi's work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (5 papers). Ming Shi is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (5 papers). Ming Shi collaborates with scholars based in China, United States and Ethiopia. Ming Shi's co-authors include Ning Guo, Dan Liu, Bing Shen, Huijun Duan, Qian Lü, Meiru Hu, Lun Song, Liang Guo, Changguo Chen and Ming Yu and has published in prestigious journals such as Nature, Nature Genetics and Biomaterials.

In The Last Decade

Ming Shi

14 papers receiving 357 citations

Peers

Ming Shi
Santosh Timilsina United States
Zheng Meng United States
Jinlin Du China
Matthew Tegowski United States
Bohai Feng Germany
Min Yong China
Santosh Timilsina United States
Ming Shi
Citations per year, relative to Ming Shi Ming Shi (= 1×) peers Santosh Timilsina

Countries citing papers authored by Ming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Shi. A scholar is included among the top collaborators of Ming 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 Ming Shi. Ming Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Zhang, Xiangyu, Jie Wang, Yixia Wu, et al.. (2025). Co-profiling of in situ RNA-protein interactions and transcriptome in single cells and tissues. Nature Methods. 22(9). 1824–1835.
2.
Liu, Min, Ming Shi, Haiqing Xiong, et al.. (2025). Genome-coverage single-cell histone modifications for embryo lineage tracing. Nature. 640(8059). 828–839. 7 indexed citations
3.
Zhang, Xintong, Zhimin Bai, Ming Shi, et al.. (2024). Development of a sequential release nanomaterial for co-delivery of hypoxia-induced tirapazamine and HIF-1α siRNA in cancer therapy. Colloids and Surfaces B Biointerfaces. 245. 114260–114260. 1 indexed citations
4.
Huang, Wenze, Tuanlin Xiong, Jian Heng, et al.. (2024). Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human. Nature Genetics. 56(1). 124–135. 23 indexed citations
5.
Guo, Wenting, Shaohua Wang, Xiaoshan Zhang, et al.. (2021). Acidic pH transiently prevents the silencing of self-renewal and dampens microRNA function in embryonic stem cells. Science Bulletin. 66(13). 1319–1329. 7 indexed citations
6.
Shi, Ming, et al.. (2021). AC092127.1-miR-451a-AE binding protein 2 Signaling Facilitates Malignant Properties of Breast Cancer. Journal of Breast Cancer. 24(4). 389–389. 3 indexed citations
7.
Shi, Ming, et al.. (2019). Functional Dissection of pri-miR-290~295 in Dgcr8 Knockout Mouse Embryonic Stem Cells. International Journal of Molecular Sciences. 20(18). 4345–4345. 3 indexed citations
8.
Wei, Bo, Zhijun Geng, Ming Shi, et al.. (2016). Isoproterenol regulates CD44 expression in gastric cancer cells through STAT3/MicroRNA373 cascade. Biomaterials. 105. 89–101. 24 indexed citations
9.
Zheng, Liangliang, et al.. (2016). miR-129b suppresses cell proliferation in the human lung cancer cell lines A549 and H1299. Genetics and Molecular Research. 15(4). 8 indexed citations
10.
Shi, Ming, Dan Liu, Qian Lü, et al.. (2012). Glucocorticoid regulation of a novel HPV–E6–p53– miR‐145 pathway modulates invasion and therapy resistance of cervical cancer cells. The Journal of Pathology. 228(2). 148–157. 69 indexed citations
11.
Shi, Ming, Dan Liu, Huijun Duan, Bing Shen, & Ning Guo. (2010). Metastasis-related miRNAs, active players in breast cancer invasion, and metastasis. Cancer and Metastasis Reviews. 29(4). 785–799. 89 indexed citations
12.
Shi, Ming, Dan Liu, Bing Shen, & Ning Guo. (2009). Helpers of the cellular gatekeeper—miRNAs dance in P53 network. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1805(2). 218–225. 9 indexed citations
13.
Shi, Ming & Ning Guo. (2009). MicroRNA expression and its implications for the diagnosis and therapeutic strategies of breast cancer. Cancer Treatment Reviews. 35(4). 328–334. 77 indexed citations
14.
Lü, Qian, Lun Song, Ming Shi, et al.. (2008). Heregulin-β promotes matrix metalloproteinase-7 expression via HER2-mediated AP-1 activation in MCF-7 cells. Molecular and Cellular Biochemistry. 318(1-2). 73–79. 11 indexed citations
15.
Lü, Qian, Ming Shi, Dan Li, et al.. (2008). HER2-dependent MMP-7 expression is mediated by activated STAT3. Cellular Signalling. 20(7). 1284–1291. 29 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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