Liang Shi

1.2k total citations
39 papers, 828 citations indexed

About

Liang Shi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Liang Shi has authored 39 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Liang Shi's work include RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and RNA Research and Splicing (4 papers). Liang Shi is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and RNA Research and Splicing (4 papers). Liang Shi collaborates with scholars based in China, United States and Austria. Liang Shi's co-authors include Qiang Ding, Shuxian An, Wenbin Zhou, Ji‐Fu Wei, Tiansong Xia, Gang Huang, Shui Wang, Mengda Cao, Jiayi Qian and Jian Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Liang Shi

37 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Shi China 16 502 275 130 87 67 39 828
Xiaoxuan Li China 8 405 0.8× 153 0.6× 103 0.8× 39 0.4× 64 1.0× 21 766
José Manuel García-Martínez Spain 14 555 1.1× 192 0.7× 294 2.3× 50 0.6× 57 0.9× 25 899
Jian Pang China 15 341 0.7× 194 0.7× 182 1.4× 104 1.2× 42 0.6× 34 700
Ayyasamy Vanniarajan India 16 725 1.4× 264 1.0× 128 1.0× 54 0.6× 57 0.9× 36 1.0k
Aijaz Parray Qatar 18 476 0.9× 169 0.6× 67 0.5× 89 1.0× 91 1.4× 45 839
Jianfeng Huang China 16 387 0.8× 220 0.8× 137 1.1× 57 0.7× 141 2.1× 30 722
Yonggang Wang China 14 389 0.8× 288 1.0× 122 0.9× 53 0.6× 45 0.7× 30 660
Franca Saccucci Italy 16 450 0.9× 165 0.6× 182 1.4× 43 0.5× 83 1.2× 39 955
Yan Feng China 20 513 1.0× 235 0.9× 369 2.8× 284 3.3× 112 1.7× 82 1.1k
Yueying Wang China 14 544 1.1× 219 0.8× 97 0.7× 139 1.6× 51 0.8× 25 1.0k

Countries citing papers authored by Liang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Liang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Shi. A scholar is included among the top collaborators of Liang 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 Liang Shi. Liang 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.
Shi, Liang, Yan Chen, Ming Xie, et al.. (2025). UBE2T/CDC42/CD276 signaling axis mediates brain metastasis of triple-negative breast cancer via lysosomal autophagy. Journal for ImmunoTherapy of Cancer. 13(2). e010782–e010782. 6 indexed citations
2.
Peng, Yin, Yuzhou Huang, Yüxin Wang, et al.. (2025). Dual regulation of FZD1/7 by IGF2BP3 enhances stem-like properties and carboplatin resistance in triple-negative breast cancer. Cancer Letters. 632. 217944–217944.
3.
Qian, Xiaoqin, Yuguo Wang, Guoliang Zhang, et al.. (2024). TERT promoter mutations contribute to adverse clinical outcomes and poor prognosis in radioiodine refractory differentiated thyroid cancer. Scientific Reports. 14(1). 23719–23719. 5 indexed citations
4.
Xu, Chaoqun, et al.. (2024). Association between serum TSH levels and all-cause mortality in critically ill patients. Heliyon. 10(4). e26168–e26168.
5.
Duan, Rui, Liang Shi, Yang Deng, et al.. (2024). AVE0991 ameliorates dopaminergic neuronal damage in Parkinson’s disease through HOTAIRM1/miR-223-3p/α-synuclein axis. Scientific Reports. 14(1). 26346–26346. 1 indexed citations
6.
Zhou, Yanfen, Yuyang Hou, Qian Ban, et al.. (2023). Metabolomics profiling of seminal plasma in obesity‐induced asthenozoospermia. Andrology. 11(7). 1303–1319. 11 indexed citations
7.
Shi, Liang, Rui Duan, Zhenhua Sun, et al.. (2023). LncRNA GLTC targets LDHA for succinylation and enzymatic activity to promote progression and radioiodine resistance in papillary thyroid cancer. Cell Death and Differentiation. 30(6). 1517–1532. 46 indexed citations
8.
Yu, Fei, et al.. (2022). 68Ga-DOTA-NT-20.3 Neurotensin Receptor 1 PET Imaging as a Surrogate for Neuroendocrine Differentiation of Prostate Cancer. Journal of Nuclear Medicine. 63(9). 1394–1400. 10 indexed citations
9.
Shi, Liang, Jun Wang, Hanjin Wang, et al.. (2022). Antitumour effects of apatinib in progressive, metastatic differentiated thyroid cancer (DTC). Endocrine. 78(1). 68–76. 2 indexed citations
10.
An, Shuxian, Di Zhang, You Zhang, et al.. (2022). GPC3-targeted immunoPET imaging of hepatocellular carcinomas. European Journal of Nuclear Medicine and Molecular Imaging. 49(8). 2682–2692. 60 indexed citations
11.
Shi, Liang, Jie Wen, Wenjie Zhang, et al.. (2021). Combination therapy with interleukin-15 and metformin as a synergistic treatment for pancreatic cancer. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Ge, Yugang, Linling Lin, Xiang Ma, et al.. (2019). Adenosquamous Carcinoma of the Stomach: A Population-based Study from the SEER Database. Journal of Cancer. 10(23). 5705–5713. 15 indexed citations
13.
Shi, Liang, et al.. (2019). Antidepressants for the treatment of narcolepsy: A prospective study of 148 patients in northern China. Journal of Clinical Neuroscience. 63. 27–31. 12 indexed citations
14.
Qian, Jiayi, Jian Gao, Xi Sun, et al.. (2019). KIAA1429 acts as an oncogenic factor in breast cancer by regulating CDK1 in an N6-methyladenosine-independent manner. Oncogene. 38(33). 6123–6141. 169 indexed citations
15.
Cheng, Lin, Zhi Li, Yuzhou Huang, et al.. (2019). <p>TCDD-Inducible Poly-ADP-Ribose Polymerase (TIPARP), A Novel Therapeutic Target Of Breast Cancer</p>. Cancer Management and Research. Volume 11. 8991–9004. 19 indexed citations
16.
An, Shuxian, Liangqian Huang, Ping Miao, et al.. (2018). Small ubiquitin-like modifier 1 modification of pyruvate kinase M2 promotes aerobic glycolysis and cell proliferation in A549 human lung cancer cells. OncoTargets and Therapy. Volume 11. 2097–2109. 24 indexed citations
17.
Sun, Xi, Guangyan Zhangyuan, Liang Shi, et al.. (2017). Prognostic and clinicopathological significance of cyclin B expression in patients with breast cancer. Medicine. 96(19). e6860–e6860. 18 indexed citations
18.
Cheng, Lin, Tiansong Xia, Yi‐Fen Wang, et al.. (2014). The anticancer effect and mechanism of α-hederin on breast cancer cells. International Journal of Oncology. 45(2). 757–763. 45 indexed citations
19.
Chen, Yuxin, Shiyun Cui, Zhipeng Xu, et al.. (2012). Losartan improves erectile dysfunction in diabetic patients: a clinical trial. International Journal of Impotence Research. 24(6). 217–220. 41 indexed citations
20.
Hu, Yingying, Liang Shi, Dongxing Du, Siva Parameswaran, & Zhaoming He. (2011). An elongation model of left ventricle deformation in diastole. Computer Methods in Biomechanics & Biomedical Engineering. 16(1). 66–72. 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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