Guang Shi

483 total citations
26 papers, 298 citations indexed

About

Guang Shi is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Guang Shi has authored 26 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Guang Shi's work include MicroRNA in disease regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Spectroscopy and Laser Applications (2 papers). Guang Shi is often cited by papers focused on MicroRNA in disease regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Spectroscopy and Laser Applications (2 papers). Guang Shi collaborates with scholars based in China, Canada and United States. Guang Shi's co-authors include Rongfeng Qu, Qiong Yu, Yarong Li, Xiaojing Jia, Ji-Qiang Jin, Xuefeng Guo, Chunmei Hu, Yan Sun, Yan Tang and Dong Li and has published in prestigious journals such as Gene, European Journal of Pharmacology and RSC Advances.

In The Last Decade

Guang Shi

25 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang Shi China 11 146 71 53 36 35 26 298
T Kolben Germany 12 98 0.7× 69 1.0× 50 0.9× 96 2.7× 43 1.2× 36 375
Wei Geng China 11 175 1.2× 76 1.1× 74 1.4× 56 1.6× 77 2.2× 27 487
Donglan Yuan China 12 175 1.2× 144 2.0× 32 0.6× 43 1.2× 34 1.0× 35 353
Zheng Gao China 12 247 1.7× 104 1.5× 43 0.8× 63 1.8× 41 1.2× 34 453
Jozef Višňovský Slovakia 12 152 1.0× 66 0.9× 50 0.9× 30 0.8× 81 2.3× 47 384
Ying Fu China 11 168 1.2× 81 1.1× 29 0.5× 20 0.6× 84 2.4× 25 304
Kathryn A. Maurer United States 12 120 0.8× 92 1.3× 100 1.9× 50 1.4× 119 3.4× 24 548
Yao-Li Chen Taiwan 12 198 1.4× 72 1.0× 76 1.4× 46 1.3× 76 2.2× 29 402
Agnieszka Budny Poland 5 100 0.7× 88 1.2× 35 0.7× 18 0.5× 95 2.7× 8 305
Tomoko Asano Japan 10 174 1.2× 123 1.7× 40 0.8× 24 0.7× 71 2.0× 27 352

Countries citing papers authored by Guang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Guang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Shi. A scholar is included among the top collaborators of Guang 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 Guang Shi. Guang 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.
Yuan, Xin, et al.. (2024). Colchicine Alleviates Rosacea by Inhibiting Neutrophil Inflammation Activated by the TLR2 Pathway. Inflammation. 47(3). 1002–1014. 7 indexed citations
2.
Zhang, Xiangjian, et al.. (2023). Hydrogen‑rich saline promotes neuronal recovery in mice with cerebral ischemia through the AMPK/mTOR signal‑mediated autophagy pathway. Acta Neurobiologiae Experimentalis. 83(3). 317–330. 1 indexed citations
3.
Shi, Guang, Cong Zhang, Yuanyuan Du, et al.. (2022). Liraglutide Ameliorates Cerebral Ischemia in Mice via Antipyroptotic Pathways. Neurochemical Research. 47(7). 1904–1916. 13 indexed citations
4.
Fu, Jinling, et al.. (2020). Deleterious cardiovascular effect of exosome in digitalis‐treated decompensated congestive heart failure. Journal of Biochemical and Molecular Toxicology. 34(5). e22462–e22462. 2 indexed citations
5.
Wang, Deguo, Deguo Wang, Jianyu Wang, et al.. (2019). An accurate ground state potential surface for the scattering reaction F− + F2(v,j) → F2(v′,j′) + F−. RSC Advances. 9(4). 1929–1932. 5 indexed citations
6.
Hu, Chunmei, et al.. (2019). Synthesis, Crystal Structures and Anti-lung Cancer Effects of Two Copper(II) Coordination Polymers Mediated by Mitochondrial-Dependent Apoptosis. Journal of Inorganic and Organometallic Polymers and Materials. 29(5). 1669–1679. 2 indexed citations
7.
Ma, Zhiming, Guang Shi, Xin Chen, et al.. (2019). Laparoscopic splenic hilar lymph node dissection for advanced gastric cancer: to be or not to be. Annals of Translational Medicine. 7(14). 343–343. 4 indexed citations
8.
Shi, Guang, et al.. (2019). Accurate Potential Energy Surfaces for the Three Lowest Electronic States of N(2D) + H2(X1∑g+) Scattering Reaction. ACS Omega. 4(7). 12167–12174. 4 indexed citations
9.
Shi, Guang, Qiong Yu, Ning Yang, et al.. (2018). Pure red cell aplasia with t-cell large granular lymphocytic leukemia.. PubMed. 32(3). 589–597.
10.
Zheng, Yan, Wei Feng, Yujuan Wang, et al.. (2018). Galectins as potential emerging key targets in different types of leukemia. European Journal of Pharmacology. 844. 73–78. 13 indexed citations
11.
Tang, Yan, Xiao Hu, Qiong Yu, et al.. (2017). Binding of circulating anti-MUC1 antibody and serum MUC1 antigen in stage IV breast cancer. Molecular Medicine Reports. 15(5). 2659–2664. 7 indexed citations
12.
Chen, Pu, Shanshan Chen, Ting Ma, et al.. (2017). A population association study of vitamin D receptor gene polymorphisms and haplotypes with the risk of systemic lupus erythematosus in a Chinese population. Immunologic Research. 65(3). 750–756. 15 indexed citations
13.
Zhao, Junwei, Min Yan, Guang Shi, Shulin Zhang, & Liang Ming. (2017). In silico identification of cytotoxic T lymphocyte epitopes encoded by RD5 region of Mycobacterium tuberculosis. The Journal of Infection in Developing Countries. 11(10). 806–810. 2 indexed citations
14.
Qu, Rongfeng, et al.. (2017). MicroRNA-374b reduces the proliferation and invasion of colon cancer cells by regulation of LRH-1/Wnt signaling. Gene. 642. 354–361. 35 indexed citations
15.
Qu, Rongfeng, Yan Sun, Yarong Li, et al.. (2017). MicroRNA-130a-3p suppresses cell viability, proliferation and invasion in nasopharyngeal carcinoma by inhibiting CXCL12.. PubMed. 9(8). 3586–3598. 22 indexed citations
16.
Wang, Dan, Jingwei Xu, Guang Shi, & Guanghao Yin. (2015). Molecular markers′ progress of breast cancer treatment efficacy. Journal of Cancer Research and Therapeutics. 11(Suppl 1). S11–S15. 10 indexed citations
17.
18.
Hu, Chunmei, Shu Liu, Yan Sun, Guang Shi, & Yarong Li. (2014). Effect of Recombinant hPTEN Gene Expression on PDGF Induced VSMC Proliferation. Cell Biochemistry and Biophysics. 70(2). 1185–1190. 5 indexed citations
19.
Shi, Guang, et al.. (2013). Dual PI3K/mTOR inhibitor NVP-BEZ235-induced apoptosis of hepatocellular carcinoma cell lines is enhanced by inhibitors of autophagy. International Journal of Molecular Medicine. 31(6). 1449–1456. 55 indexed citations
20.
Feng, Xing Lin, Guang Shi, Yan Wang, et al.. (2010). An impact evaluation of the Safe Motherhood Program in China. Health Economics. 19(S1). 69–94. 17 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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