Qing Shi

9.8k total citations · 3 hit papers
19 papers, 7.5k citations indexed

About

Qing Shi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Qing Shi has authored 19 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Qing Shi's work include Glioma Diagnosis and Treatment (4 papers), Cancer Cells and Metastasis (4 papers) and Mesenchymal stem cell research (3 papers). Qing Shi is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Cancer Cells and Metastasis (4 papers) and Mesenchymal stem cell research (3 papers). Qing Shi collaborates with scholars based in China, United States and Canada. Qing Shi's co-authors include Jeremy N. Rich, Anita B. Hjelmeland, Roger E. McLendon, Shideng Bao, Darell D. Bigner, Yueling Hao, Qiulian Wu, Mark W. Dewhirst, Sith Sathornsumetee and Zhizhong Li and has published in prestigious journals such as Nature, Cancer Cell and Cancer Research.

In The Last Decade

Qing Shi

19 papers receiving 7.4k citations

Hit Papers

Glioma stem cells promote radioresistance by preferential... 2006 2026 2012 2019 2006 2009 2006 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Shi China 11 4.1k 3.7k 2.6k 2.5k 677 19 7.5k
Takuichiro Hide Japan 24 3.7k 0.9× 4.0k 1.1× 2.0k 0.8× 2.2k 0.9× 700 1.0× 82 7.7k
Yueling Hao United States 11 3.5k 0.9× 3.1k 0.8× 1.9k 0.7× 2.0k 0.8× 550 0.8× 16 6.5k
Jeongwu Lee United States 42 5.6k 1.4× 2.8k 0.8× 3.0k 1.1× 2.6k 1.0× 816 1.2× 57 9.2k
Do‐Hyun Nam South Korea 43 3.6k 0.9× 2.4k 0.6× 2.2k 0.8× 2.2k 0.9× 735 1.1× 144 7.1k
Jane Bayani Canada 38 5.7k 1.4× 4.8k 1.3× 3.2k 1.2× 2.6k 1.0× 771 1.1× 111 10.5k
Katrin Lamszus Germany 53 3.8k 0.9× 2.2k 0.6× 2.1k 0.8× 2.5k 1.0× 1.0k 1.5× 154 7.8k
Gaetano Finocchiaro Italy 51 3.9k 1.0× 2.2k 0.6× 1.6k 0.6× 3.2k 1.3× 1.2k 1.8× 214 8.2k
Ichiro Nakano United States 43 4.7k 1.2× 1.8k 0.5× 3.0k 1.2× 1.8k 0.7× 555 0.8× 106 7.3k
Sith Sathornsumetee United States 32 3.4k 0.8× 2.2k 0.6× 2.5k 1.0× 4.1k 1.6× 495 0.7× 89 7.5k
Benjamin Purow United States 34 4.4k 1.1× 1.7k 0.4× 3.1k 1.2× 1.7k 0.7× 490 0.7× 89 6.7k

Countries citing papers authored by Qing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Shi

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

All Works

19 of 19 papers shown
1.
Wu, Jie, Hao Wang, Tung‐Tien Sun, et al.. (2025). Force-controlled 3D mechanical stretching to enhance the exosome secretion of bone mesenchymal stem cells for bone repair. Bio-Design and Manufacturing. 8(3). 442–460. 1 indexed citations
2.
Li, Xianyu, et al.. (2024). Transcriptomic and proteomic sequencing unveils the role of vitamin D and metabolic flux shifts in the induction of human hepatic organoids. Stem Cell Research & Therapy. 15(1). 478–478. 1 indexed citations
3.
Xu, Xiaoyan, et al.. (2017). MiR-650 inhibits proliferation, migration and invasion of rheumatoid arthritis synovial fibroblasts by targeting AKT2. Biomedicine & Pharmacotherapy. 88. 535–541. 37 indexed citations
4.
Shi, Qing, et al.. (2016). Pallidin protein in neurodevelopment and its relation to the pathogenesis of schizophrenia. Molecular Medicine Reports. 15(2). 665–672. 2 indexed citations
5.
Shi, Qing, et al.. (2014). Sevoflurane promotes the expansion of glioma stem cells through activation of hypoxia-inducible factors in vitro. British Journal of Anaesthesia. 114(5). 825–830. 63 indexed citations
6.
Shi, Qing, Zhiyuan Zheng, Jiao Gong, et al.. (2014). MicroRNA-100 promotes the autophagy of hepatocellular carcinoma cells by inhibiting the expression of mTOR and IGF-1R. Oncotarget. 5(15). 6218–6228. 74 indexed citations
7.
Dai, Na, et al.. (2012). [Influence of vascular endothelial growth factor on endothelial components in human bone marrow and umbilical cord mesenchymal stem cells].. PubMed. 20(3). 717–21. 2 indexed citations
8.
Li, Zhizhong, Shideng Bao, Qiulian Wu, et al.. (2009). Hypoxia-Inducible Factors Regulate Tumorigenic Capacity of Glioma Stem Cells. Cancer Cell. 15(6). 501–513. 1044 indexed citations breakdown →
9.
Shi, Qing, Anita B. Hjelmeland, Stephen T. Keir, et al.. (2007). A novel low‐molecular weight inhibitor of focal adhesion kinase, TAE226, inhibits glioma growth. Molecular Carcinogenesis. 46(6). 488–496. 159 indexed citations
10.
Ju, Xiuli, et al.. (2007). [In vitro expansion and function of cord blood megakaryocyte].. PubMed. 45(1). 64–8. 1 indexed citations
11.
Hjelmeland, Anita B., Brian E. Fee, Qing Shi, et al.. (2007). The combination of novel low molecular weight inhibitors of RAF (LBT613) and target of rapamycin (RAD001) decreases glioma proliferation and invasion. Molecular Cancer Therapeutics. 6(9). 2449–2457. 32 indexed citations
12.
Bao, Shideng, Qiulian Wu, Sith Sathornsumetee, et al.. (2006). Stem Cell–like Glioma Cells Promote Tumor Angiogenesis through Vascular Endothelial Growth Factor. Cancer Research. 66(16). 7843–7848. 1022 indexed citations breakdown →
13.
Bao, Shideng, Qiulian Wu, Roger E. McLendon, et al.. (2006). Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature. 444(7120). 756–760. 4837 indexed citations breakdown →
14.
Zhang, Zhimian, Ning Zhong, Haiqing Gao, et al.. (2006). Inducing apoptosis and upregulation of Bax and Fas ligand expression by allicin in hepatocellular carcinoma in Balb/c nude mice. Chinese Medical Journal. 119(5). 422–426. 17 indexed citations
15.
Li, Dong, et al.. (2006). [Biological characteristics of rabbit bone marrow mesenchymal stem cells and their response to different growth factors].. PubMed. 14(5). 964–8. 1 indexed citations
16.
Hjelmeland, Anita B., Mark D. Hjelmeland, Qing Shi, et al.. (2005). Loss of Phosphatase and Tensin Homologue Increases Transforming Growth Factor β–Mediated Invasion with Enhanced SMAD3 Transcriptional Activity. Cancer Research. 65(24). 11276–11281. 33 indexed citations
17.
Kong, Beihua, et al.. (2005). High Dose Chemotherapy and Transplantation of Hematopoietic Progenitors from Murine D3 Embryonic Stem Cells. Journal of Chemotherapy. 17(3). 302–308. 3 indexed citations
19.
Zhang, Liping, et al.. (2002). [Effects of HLA disparity of two umbilical cord blood units on human engraftment in SCID mice].. PubMed. 23(12). 624–7. 1 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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