Shuping Qu

630 total citations
18 papers, 468 citations indexed

About

Shuping Qu is a scholar working on Hepatology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shuping Qu has authored 18 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 8 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shuping Qu's work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), MicroRNA in disease regulation (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Shuping Qu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (7 papers), MicroRNA in disease regulation (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Shuping Qu collaborates with scholars based in China, United States and Hong Kong. Shuping Qu's co-authors include Tianhong Pan, Wei Dong Le, William G. Ondo, Xiaolei Zhang, Wenjie Xie, Dong Wu, Lixin Wei, Xiaobing Zhang, Zhangjun Cheng and Pinghua Yang and has published in prestigious journals such as The EMBO Journal, Biochemical and Biophysical Research Communications and Journal of Hepatology.

In The Last Decade

Shuping Qu

16 papers receiving 462 citations

Peers

Shuping Qu

HEPAT

EPIDE

ONCOL

Sakina Zaïdi France

Hang Shen China

Cynthia De la Garza‐Ramos United States

Shahriar Islam United Kingdom

Riccardo Berutti Germany

Jiwei Yu China

Felix Alexander Baier Switzerland

Erica Gomez United States

Henrik Landgren Sweden

Sakina Zaïdi France

Shuping Qu

105 ×0.6

HEPAT

90 ×0.7

EPIDE

152 ×1.3

29 ×0.3

49 ×0.5

ONCOL

Citations per year, relative to Shuping Qu Shuping Qu (= 1×) peers Sakina Zaïdi

Countries citing papers authored by Shuping Qu

Since Specialization

Citations

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

Fields of papers citing papers by Shuping Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuping Qu

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

All Works

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18 of 18 papers shown

Zhang, Xiaobing, Zhemin Shen, Shuping Qu, et al.. (2025). Effect of Early Tumor Shrinkage and Depth of Response on the Clinical Outcomes of Patients with Unresectable Hepatocellular Carcinoma Treated with Transcatheter Arterial Chemoembolization and Lenvatinib plus PD-1 Inhibitors. Oncology Research and Treatment. 48(6). 360–371.

Zhang, Xiaobing, Hongyu Pan, Qian Zhong, et al.. (2025). Molecular residual disease assessment based on tumor-informed assay predict disease progression and postoperative recurrence of hepatobiliary cancer: A preliminary study. The International Journal of Biological Markers. 40(1). 55–66.

Zhu, Xinyu, Wenting Liu, Xiaojuan Hou, et al.. (2024). CD34+CLDN5+ tumor associated senescent endothelial cells through IGF2-IGF2R signaling increased cholangiocellular phenotype in hepatocellular carcinoma. Journal of Advanced Research. 76. 511–528. 4 indexed citations

Qu, Shuping, et al.. (2023). Neutrophil-to-Lymphocyte Ratio and Early Tumor Shrinkage as Predictive Biomarkers in Unresectable Hepatocellular Carcinoma Patients Treated With Lenvatinib, PD-1 Inhibitors, in Combination With TACE. Technology in Cancer Research & Treatment. 22. 2223948592–2223948592. 8 indexed citations

Zhao, Qiudong, Yan Sang, Fei Ye, et al.. (2023). GPNMB ⁺ Gal‐3 ⁺ hepatic parenchymal cells promote immunosuppression and hepatocellular carcinogenesis. The EMBO Journal. 42(24). e114060–e114060. 8 indexed citations

Meng, Yan, Fei Ye, Pingping Nie, et al.. (2023). Immunosuppressive CD10+ALPL+ neutrophils promote resistance to anti-PD-1 therapy in HCC by mediating irreversible exhaustion of T cells. Journal of Hepatology. 79(6). 1435–1449. 73 indexed citations

Meng, Yan, Yan Sang, Qiudong Zhao, et al.. (2022). Single cell transcriptional diversity and intercellular crosstalk of human liver cancer. Cell Death and Disease. 13(3). 261–261. 16 indexed citations

Qu, Shuping, Xiaobing Zhang, Yutian Wu, et al.. (2022). Efficacy and Safety of TACE Combined With Lenvatinib Plus PD-1 Inhibitors Compared With TACE Alone for Unresectable Hepatocellular Carcinoma Patients: A Prospective Cohort Study. Frontiers in Oncology. 12. 874473–874473. 40 indexed citations

Qu, Shuping, Xiaobing Zhang, Yue Wu, et al.. (2021). miR-361-3p Regulates Liver Tumor-initiating Cells Expansion and Chemo-resistance. Journal of Cancer. 12(5). 1483–1492. 13 indexed citations

10.

Zhang, Xiaobing, Jiajia Hu, K. Becker, et al.. (2021). Antioxidant and C5a-blocking strategy for hepatic ischemia–reperfusion injury repair. Journal of Nanobiotechnology. 19(1). 19 indexed citations

11.

Qu, Shuping, et al.. (2020). Weighted Gene Coexpression Network Analysis Reveals the Dynamic Transcriptome Regulation and Prognostic Biomarkers of Hepatocellular Carcinoma. Evolutionary Bioinformatics. 16. 1612666866–1612666866. 3 indexed citations

12.

Yi, Wanwan, et al.. (2020). An 8 miRNA-Based Risk Score System for Predicting the Prognosis of Patients With Papillary Thyroid Cancer. Technology in Cancer Research & Treatment. 19. 1079233242–1079233242. 7 indexed citations

13.

Zhang, Yijun, Shuping Qu, Wanwan Yi, et al.. (2019). A Pretreatment CT Model Predicts Survival Following Chemolipiodolization in Patients With Hepatocellular Carcinoma. Technology in Cancer Research & Treatment. 18. 1078112136–1078112136. 3 indexed citations

14.

Zhai, Jian, Shuping Qu, Xiaowei Li, et al.. (2015). miR-129 suppresses tumor cell growth and invasion by targeting PAK5 in hepatocellular carcinoma. Biochemical and Biophysical Research Communications. 464(1). 161–167. 39 indexed citations

15.

Xu, Zefeng, et al.. (2015). 255 RESPONSE TO THALIDOMIDE AND CYCLOSPORINE IN PATIENTS WITH LOWER-RISK MYELODYSPLASTIC SYNDROME WITHOUT ISOLATED DEL(5Q). Leukemia Research. 39. S127–S127. 1 indexed citations

16.

Xu, Zhongping, Liwei Fang, Hongkai Zhang, et al.. (2015). 254 PROGNOSTIC EVALUATION OF COMORBIDITIES IN PATIENTS WITH MYELODYSPLASTIC SYNDROME. Leukemia Research. 39. S126–S127. 1 indexed citations

17.

Cheng, Zhangjun, Pinghua Yang, Shuping Qu, et al.. (2014). Risk factors and management for early and late intrahepatic recurrence of solitary hepatocellular carcinoma after curative resection. HPB. 17(5). 422–427. 133 indexed citations

18.

Qu, Shuping, William G. Ondo, Xiaolei Zhang, et al.. (2005). Projections of diencephalic dopamine neurons into the spinal cord in mice. Experimental Brain Research. 168(1-2). 152–156. 100 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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