Hequn Zou

1.0k total citations
51 papers, 792 citations indexed

About

Hequn Zou is a scholar working on Surgery, Molecular Biology and Nephrology. According to data from OpenAlex, Hequn Zou has authored 51 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Molecular Biology and 15 papers in Nephrology. Recurrent topics in Hequn Zou's work include Renal Transplantation Outcomes and Treatments (11 papers), Liver Disease Diagnosis and Treatment (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). Hequn Zou is often cited by papers focused on Renal Transplantation Outcomes and Treatments (11 papers), Liver Disease Diagnosis and Treatment (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). Hequn Zou collaborates with scholars based in China, Ireland and Germany. Hequn Zou's co-authors include Xiaofei Shao, Qin Zhou, Uwe Heemann, Balázs Antus, Harry Holthöfer, Shanying Liu, Daoyuan Lv, Zhihong Zhao, Yan Liang and Yongqiang Li and has published in prestigious journals such as PLoS ONE, Kidney International and Frontiers in Immunology.

In The Last Decade

Hequn Zou

50 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hequn Zou China 19 255 201 186 149 145 51 792
Yu Ho Lee South Korea 16 336 1.3× 277 1.4× 204 1.1× 118 0.8× 143 1.0× 57 892
Christian Hengstenberg Germany 20 367 1.4× 131 0.7× 216 1.2× 88 0.6× 165 1.1× 37 1.1k
Pierre Galichon France 17 401 1.6× 341 1.7× 170 0.9× 79 0.5× 42 0.3× 47 991
Pietro E. Cippà Switzerland 19 491 1.9× 410 2.0× 217 1.2× 169 1.1× 49 0.3× 55 1.3k
Beatriz Tavira Spain 18 234 0.9× 47 0.2× 163 0.9× 106 0.7× 74 0.5× 39 786
B. Parada Portugal 18 168 0.7× 88 0.4× 398 2.1× 69 0.5× 138 1.0× 74 1.1k
Lung‐Chih Li Taiwan 17 269 1.1× 205 1.0× 256 1.4× 104 0.7× 139 1.0× 44 910
Kengo Kidokoro Japan 18 318 1.2× 334 1.7× 215 1.2× 48 0.3× 275 1.9× 34 952
William A. Wilmer United States 15 365 1.4× 559 2.8× 126 0.7× 74 0.5× 145 1.0× 20 1.2k
Chung Hee Baek South Korea 14 143 0.6× 187 0.9× 132 0.7× 105 0.7× 43 0.3× 57 615

Countries citing papers authored by Hequn Zou

Since Specialization
Citations

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

Fields of papers citing papers by Hequn Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hequn Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Hequn Zou. A scholar is included among the top collaborators of Hequn Zou 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 Hequn Zou. Hequn Zou 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
2.
Miao, Jingjing, Boyu Chen, Lu Zhang, et al.. (2025). Metabolic expression profiling analysis reveals pyruvate-mediated EPHB2 upregulation promotes lymphatic metastasis in head and neck squamous cell carcinomas. Journal of Translational Medicine. 23(1). 316–316. 1 indexed citations
3.
Chen, Tong, Yü Liu, Shiquan Wu, et al.. (2024). Comparison of TyG and Newly TyG Related Indicators for Chronic Kidney Diseases Estimation in a Chinese Population. Diabetes Metabolic Syndrome and Obesity. Volume 17. 3063–3075. 4 indexed citations
4.
Chen, Tong, Yu Liu, Shiquan Wu, et al.. (2024). The association of RBP4 with chronic kidney diseases in southern Chinese population. Frontiers in Endocrinology. 15. 1381060–1381060. 2 indexed citations
5.
Zou, Hequn, Xiaoming Zhu, Jia Hu, et al.. (2024). AB0912 IXEKIZUMAB IMPROVES SPINAL PAIN, STIFFNESS, FUNCTION, AND MOBILITY OF RADIOGRAPHIC-AXIAL SPONDYLOARTHRITIS IN CHINESE PATIENTS REGARDLESS OF BASELINE INFLAMMATION STATUS. Annals of the Rheumatic Diseases. 83. 1763–1764. 1 indexed citations
6.
Kou, Wei, et al.. (2022). mGluR5 promotes the progression of multiple myeloma in vitro via Ras–MAPK signaling pathway. Advances in Clinical and Experimental Medicine. 31(8). 881–888. 2 indexed citations
7.
Zhou, Qin, et al.. (2022). Amelioration of Renal Injury by Resveratrol in a Rat Renal Transplantation Model via Activation of the SIRT1/NF‐κB Signaling Pathway. BioMed Research International. 2022(1). 7140961–7140961. 6 indexed citations
8.
Xiong, Chongxiang, Xin Wang, Xiaofei Shao, et al.. (2021). Pharmacologic Targeting of BET Proteins Attenuates Hyperuricemic Nephropathy in Rats. Frontiers in Pharmacology. 12. 636154–636154. 12 indexed citations
9.
Xia, Yue, et al.. (2018). Expression and significance of Sirt1 in renal allografts at the early stage of chronic renal allograft dysfunction. Transplant Immunology. 48. 18–25. 8 indexed citations
10.
Musante, Luca, Xiaomeng Xu, Oliver Kretz, et al.. (2017). Purification and Identification of Membrane Proteins from Urinary Extracellular Vesicles using Triton X-114 Phase Partitioning. Journal of Proteome Research. 17(1). 86–96. 15 indexed citations
12.
Yan, Qiang, et al.. (2017). Correlation between PKB/Akt, GSK-3β expression and tubular epithelial-mesenchymal transition in renal allografts with chronic active antibody-mediated rejection. Experimental and Therapeutic Medicine. 13(5). 2217–2224. 6 indexed citations
13.
Chen, Shanying, Xinyu Liu, Yan Liang, et al.. (2015). Association between Lipid Ratios and Insulin Resistance in a Chinese Population. PLoS ONE. 10(1). e0116110–e0116110. 40 indexed citations
14.
Zhou, Lina, Yiqin Zhang, Hequn Zou, et al.. (2014). Increased Expression of p-Akt correlates with Chronic Allograft Nephropathy in a Rat Kidney Model. Cell Biochemistry and Biophysics. 71(3). 1685–1693. 5 indexed citations
15.
Chen, Shanying, Xinyu Liu, Yongqiang Li, et al.. (2013). Central Obesity, C-Reactive Protein and Chronic Kidney Disease: A Community-Based Cross-Sectional Study in Southern China. Kidney & Blood Pressure Research. 37(4-5). 392–401. 30 indexed citations
16.
Yan, Qiang, et al.. (2012). Expression of MMP-2 and TIMP-1 in Renal Tissue of Patients with Chronic Active Antibody-mediated Renal Graft Rejection. Diagnostic Pathology. 7(1). 141–141. 24 indexed citations
17.
Zou, Hequn, et al.. (2011). Expression of the Integrin-Linked Kinase in a Rat Kidney Model of Chronic Allograft Nephropathy. Cell Biochemistry and Biophysics. 61(1). 73–81. 3 indexed citations
18.
Sui, Weiguo, et al.. (2008). Clinical study of the risk factors of insulin resistance and metabolic syndrome after kidney transplantation. Transplant Immunology. 20(1-2). 95–98. 20 indexed citations
19.
Zou, Hequn, Yousheng Yao, Amanda E. I. Proudfoot, et al.. (2002). Early application of Met-RANTES ameliorates chronic allograft nephropathy. Kidney International. 61(2). 676–685. 80 indexed citations
20.
Viklický, Ondřej, Veronika Müller, Hequn Zou, et al.. (2001). RAD reduces compensatory renal graft hypertrophy in a rat model of chronic rejection. Transplantation Proceedings. 33(3). 2320–2321. 8 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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