Shuping Que

676 total citations
21 papers, 471 citations indexed

About

Shuping Que is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Shuping Que has authored 21 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 9 papers in Hepatology and 8 papers in Surgery. Recurrent topics in Shuping Que's work include Liver Disease Diagnosis and Treatment (13 papers), Organ Transplantation Techniques and Outcomes (8 papers) and Liver Disease and Transplantation (7 papers). Shuping Que is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Organ Transplantation Techniques and Outcomes (8 papers) and Liver Disease and Transplantation (7 papers). Shuping Que collaborates with scholars based in China, Sweden and Italy. Shuping Que's co-authors include Zhengtao Liu, Tao Peng, Jing Xu, Shusen Zheng, Lin Zhou, Linlin Wang, Lin Zhou, Adil Mardinoğlu, Xue Qin and Luca Valenti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shuping Que

18 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuping Que China 8 251 91 83 75 70 21 471
Mohamed H. Ahmed United Kingdom 11 338 1.3× 88 1.0× 184 2.2× 72 1.0× 92 1.3× 22 533
Orhan Kürşat Poyrazoğlu Türkiye 15 338 1.3× 179 2.0× 81 1.0× 47 0.6× 178 2.5× 33 731
Hüseyin Ataseven Türkiye 15 423 1.7× 230 2.5× 106 1.3× 58 0.8× 246 3.5× 49 817
S. Czernichow France 10 297 1.2× 171 1.9× 98 1.2× 62 0.8× 109 1.6× 20 775
Yunhao Xun China 13 440 1.8× 211 2.3× 117 1.4× 87 1.2× 50 0.7× 42 566
Wagdi Elkashef Egypt 14 151 0.6× 93 1.0× 36 0.4× 62 0.8× 113 1.6× 52 550
Kazuhiko Hora Japan 16 265 1.1× 135 1.5× 34 0.4× 63 0.8× 57 0.8× 36 791
Kamran Qureshi United States 12 305 1.2× 157 1.7× 129 1.6× 35 0.5× 92 1.3× 46 529
Tadeja Pintar Slovenia 7 415 1.7× 116 1.3× 202 2.4× 43 0.6× 109 1.6× 23 642
Xinrong Zhang China 14 432 1.7× 248 2.7× 179 2.2× 62 0.8× 60 0.9× 46 631

Countries citing papers authored by Shuping Que

Since Specialization
Citations

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

Fields of papers citing papers by Shuping Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuping Que

This figure shows the co-authorship network connecting the top 25 collaborators of Shuping Que. A scholar is included among the top collaborators of Shuping Que 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 Que. Shuping Que 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.
2.
Liu, Jingcheng, et al.. (2025). The novel house dust mite allergen Der p 39 exacerbates atopic dermatitis-like inflammation in mice by inducing skin barrier dysfunction. World Allergy Organization Journal. 18(3). 101036–101036.
3.
Que, Tak‐Lun, et al.. (2025). Molecular Mechanisms of Ischemia/Reperfusion Injury and Graft Dysfunction in Liver Transplantation: Insights from Multi-Omics Studies in Rodent Animal Models. International Journal of Biological Sciences. 21(5). 2135–2154. 3 indexed citations
4.
Liu, Qiming, Shuping Que, Shaohua Liu, et al.. (2025). Host Immune Response to Mycobacterium tuberculosis Infection: Implications for Vaccine Development. Journal of Inflammation Research. Volume 18. 8429–8445. 1 indexed citations
5.
Zhou, Yifeng, Tak‐Lun Que, Lu Yu, et al.. (2025). Current understanding on inferior quality of liver grafts by donation after circulatory death based on multi-omics data. Frontiers in Immunology. 16. 1548735–1548735. 1 indexed citations
6.
Xu, Jun, Tak‐Lun Que, Yifeng Zhou, et al.. (2025). Role of Iron Metabolic Disturbances and Inflammatory Iron Biomarkers in Liver Transplant Prognosis. International Journal of Medical Sciences. 22(13). 3202–3219.
7.
Liu, Zhengtao, et al.. (2023). Graft-to-recipient weight ratio exerts nonlinear effects on prognosis by interacting with donor liver macrosteatosis. Frontiers in Surgery. 9. 1075845–1075845. 1 indexed citations
8.
9.
Wang, Wenchao, Zhengtao Liu, Junjie Qian, et al.. (2021). Systematic Assessment of Safety Threshold for Donor Age in Cadaveric Liver Transplantation. Frontiers in Medicine. 8. 596552–596552. 5 indexed citations
10.
Liu, Zhengtao, Wenchao Wang, Hai Zhu, et al.. (2021). Integrative Network Analysis Revealed Genetic Impact of Pyruvate Kinase L/R on Hepatocyte Proliferation and Graft Survival after Liver Transplantation. Oxidative Medicine and Cellular Longevity. 2021(1). 7182914–7182914. 6 indexed citations
11.
Liu, Zhengtao, Wenchao Wang, Zhuang Li, et al.. (2020). Clear mortality gap caused by graft macrosteatosis in Chinese patients after cadaveric liver transplantation. HepatoBiliary Surgery and Nutrition. 9(6). 739–758. 13 indexed citations
12.
Liu, Zhengtao, Hai Zhu, Wenchao Wang, et al.. (2020). Metabonomic Profile of Macrosteatotic Allografts for Orthotopic Liver Transplantation in Patients With Initial Poor Function: Mechanistic Investigation and Prognostic Prediction. Frontiers in Cell and Developmental Biology. 8. 826–826. 7 indexed citations
13.
Liu, Zhengtao, et al.. (2019). Systematic Evaluation of the Safety Threshold for Allograft Macrovesicular Steatosis in Cadaveric Liver Transplantation. Frontiers in Physiology. 10. 17 indexed citations
14.
Liu, Zhengtao, et al.. (2018). Meta-Analysis of Adiponectin as a Biomarker for the Detection of Metabolic Syndrome. Frontiers in Physiology. 9. 1238–1238. 36 indexed citations
15.
Liu, Zhengtao, Shuping Que, Lin Zhou, et al.. (2017). The effect of the TM6SF2 E167K variant on liver steatosis and fibrosis in patients with chronic hepatitis C: a meta-analysis. Scientific Reports. 7(1). 9273–9273. 24 indexed citations
16.
Liu, Zhengtao, Shuping Que, Lin Zhou, & Shusen Zheng. (2015). Dose-response Relationship of Serum Uric Acid with Metabolic Syndrome and Non-alcoholic Fatty Liver Disease Incidence: A Meta-analysis of Prospective Studies. Scientific Reports. 5(1). 14325–14325. 90 indexed citations
17.
Liu, Zhengtao, et al.. (2015). Meta-Analysis Reveals a Specific Association of the Pnpla3 I148M Polymorphism with Alt Level in Adolescents. Personalized Medicine. 12(2). 67–82. 1 indexed citations
18.
Liu, Zhengtao, Shuping Que, Jing Xu, & Tao Peng. (2014). Alanine Aminotransferase-Old Biomarker and New Concept: A Review. International Journal of Medical Sciences. 11(9). 925–935. 187 indexed citations
19.
20.
Liu, Zhengtao, et al.. (2013). Elevated Alanine Aminotransferase Is Strongly Associated with Incident Metabolic Syndrome: A Meta-Analysis of Prospective Studies. PLoS ONE. 8(12). e80596–e80596. 33 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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