Liang Shang

1.8k total citations · 1 hit paper
64 papers, 1.1k citations indexed

About

Liang Shang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Liang Shang has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Pulmonary and Respiratory Medicine and 21 papers in Surgery. Recurrent topics in Liang Shang's work include RNA modifications and cancer (19 papers), Gastric Cancer Management and Outcomes (12 papers) and Ferroptosis and cancer prognosis (8 papers). Liang Shang is often cited by papers focused on RNA modifications and cancer (19 papers), Gastric Cancer Management and Outcomes (12 papers) and Ferroptosis and cancer prognosis (8 papers). Liang Shang collaborates with scholars based in China, France and United Kingdom. Liang Shang's co-authors include Zhen Fang, Leping Li, Fengying Du, Hao Wu, Wei Chong, Jin Liu, Wentong Mei, Hao Chen, Fei Li and Feng Cao and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Liang Shang

58 papers receiving 1.1k citations

Hit Papers

Role of m6A writers, erasers and readers in cancer 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Shang China 17 685 425 227 212 137 64 1.1k
Zhijun Min China 16 453 0.7× 291 0.7× 195 0.9× 197 0.9× 116 0.8× 25 865
Qi Song China 19 523 0.8× 377 0.9× 209 0.9× 321 1.5× 101 0.7× 50 1.0k
Jiayi Yao China 21 618 0.9× 346 0.8× 195 0.9× 111 0.5× 88 0.6× 58 1.1k
Jun Xiao China 20 646 0.9× 477 1.1× 178 0.8× 188 0.9× 178 1.3× 78 1.1k
Coro Bescós Spain 12 785 1.1× 847 2.0× 197 0.9× 343 1.6× 197 1.4× 35 1.6k
Claire Josse Belgium 20 590 0.9× 438 1.0× 79 0.3× 137 0.6× 104 0.8× 39 1.0k
Fenju Liu China 19 485 0.7× 341 0.8× 169 0.7× 260 1.2× 140 1.0× 42 938
Xi Guo China 14 307 0.4× 213 0.5× 259 1.1× 278 1.3× 152 1.1× 53 806
Guodong Xu China 18 450 0.7× 338 0.8× 152 0.7× 107 0.5× 89 0.6× 60 955

Countries citing papers authored by Liang Shang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Shang. A scholar is included among the top collaborators of Liang Shang 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 Shang. Liang Shang 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.
Huang, Yingqi, Ze-Ning Huang, Peng Zhang, et al.. (2024). Development of a staging system for hepatoid adenocarcinoma of the stomach based on multicenter data: a retrospective cohort study. International Journal of Surgery. 111(1). 718–727. 3 indexed citations
3.
Chen, Peng, et al.. (2024). Cephaeline promotes ferroptosis by targeting NRF2 to exert anti-lung cancer efficacy. Pharmaceutical Biology. 62(1). 195–206. 9 indexed citations
4.
Chong, Wei, Hao Chen, Kang Xu, et al.. (2024). Clinical features and molecular landscape of cuproptosis signature‐related molecular subtype in gastric cancer. SHILAP Revista de lepidopterología. 3(3). e190–e190. 17 indexed citations
5.
Zhao, Yulong, et al.. (2024). Efficacy and regulatory strategies of gut microbiota in immunotherapy: a narrative review. Translational Cancer Research. 13(4). 2043–2063.
6.
Fang, Zhen, Peijuan Li, Fengying Du, Liang Shang, & Leping Li. (2023). The role of organoids in cancer research. Experimental Hematology and Oncology. 12(1). 69–69. 28 indexed citations
7.
Shang, Liang, et al.. (2023). The RNA cap methyltransferases RNMT and CMTR1 co-ordinate gene expression during neural differentiation. Biochemical Society Transactions. 51(3). 1131–1141. 10 indexed citations
8.
Zhu, Xingyu, Hao Chen, Li Han, et al.. (2023). ITGB1-mediated molecular landscape and cuproptosis phenotype induced the worse prognosis in diffuse gastric cancer. Frontiers in Oncology. 13. 1115510–1115510. 10 indexed citations
9.
Shang, Liang, et al.. (2022). CMTR1 is recruited to transcription start sites and promotes ribosomal protein and histone gene expression in embryonic stem cells. Nucleic Acids Research. 50(5). 2905–2922. 16 indexed citations
10.
Chen, Hao, Wei Chong, Fengying Du, et al.. (2022). Machine learning-based identification of a novel prognosis-related long noncoding RNA signature for gastric cancer. Frontiers in Cell and Developmental Biology. 10. 1017767–1017767. 3 indexed citations
11.
12.
Wu, Hao, Zihao Zhang, Xiaobo Guo, et al.. (2021). A new candidate oncogenic lncRNA derived from pseudogene WFDC21P promotes tumor progression in gastric cancer. Cell Death and Disease. 12(10). 903–903. 19 indexed citations
13.
Wu, Hao, Han Li, Liang Shang, et al.. (2021). Surgical Resection Is Still Better Than Endoscopic Resection for Patients With 2-5 cm Gastric Gastrointestinal Stromal Tumours: A Propensity Score Matching Analysis. Frontiers in Oncology. 11. 737885–737885. 3 indexed citations
14.
Fang, Zhen, Fengying Du, Liang Shang, et al.. (2020). CT assessment of preoperative nutritional status in gastric cancer: severe low skeletal muscle mass and obesity-related low skeletal muscle mass are unfavorable factors of postoperative complications. Expert Review of Gastroenterology & Hepatology. 15(3). 317–324. 10 indexed citations
15.
Li, Leping, Jinshen Wang, Jizhun Zhang, et al.. (2020). Role of Gut Microbiome and Microbial Metabolites in Alleviating Insulin Resistance After Bariatric Surgery. Obesity Surgery. 31(1). 327–336. 13 indexed citations
16.
Zhao, Ximeng, Qing Liu, Shuangwu Liu, et al.. (2020). Study on sleep-wake disorders in patients with genetic and non-genetic amyotrophic lateral sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 92(1). 96–102. 16 indexed citations
17.
Cai, Hui, Changqing Jing, Xusheng Chang, et al.. (2019). Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing. Journal of Translational Medicine. 17(1). 189–189. 75 indexed citations
18.
Qin, Jun, Liang Shang, Ansong Ping, et al.. (2013). Correction: TNF/TNFR signal transduction pathway-mediated anti-apoptosis and anti-inflammatory effects of sodium ferulate on IL-1β- induced rat osteoarthritis chondrocytes in vitro. Arthritis Research & Therapy. 15(3). 407–407. 3 indexed citations
19.
Shang, Liang. (2012). Comparetive study on three types of digestive reconstruction after total gastrectomy for gastric cancer.
20.
Chen, Liaobin, Hui Wang, Jun Wang, Man Chen, & Liang Shang. (2007). Ofloxacin‐delivery system of a polyanhydride and polylactide blend used in the treatment of bone infection. Journal of Biomedical Materials Research Part B Applied Biomaterials. 83B(2). 589–595. 25 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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