Zu-Shun Chen

513 total citations
10 papers, 356 citations indexed

About

Zu-Shun Chen is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Zu-Shun Chen has authored 10 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Zu-Shun Chen's work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Zu-Shun Chen is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Zu-Shun Chen collaborates with scholars based in China. Zu-Shun Chen's co-authors include Bang‐De Xiang, Lu‐Nan Qi, Liang Ma, Le‐Qun Li, Wen‐Feng Gong, Jian‐Hong Zhong, Yuanyuan Chen, Feixiang Wu, Jiazhou Ye and Jie Chen and has published in prestigious journals such as Cancer Research, Scientific Reports and Annals of Medicine.

In The Last Decade

Zu-Shun Chen

10 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zu-Shun Chen China 7 185 165 128 112 64 10 356
Xiao-Dong Zhu China 10 128 0.7× 130 0.8× 90 0.7× 155 1.4× 83 1.3× 14 375
Sui Peng China 11 129 0.7× 91 0.6× 215 1.7× 114 1.0× 83 1.3× 24 402
Liling Qin China 10 127 0.7× 158 1.0× 92 0.7× 136 1.2× 47 0.7× 20 366
Tongguo Si China 13 90 0.5× 153 0.9× 126 1.0× 75 0.7× 146 2.3× 29 405
Shenglan Huang China 11 95 0.5× 69 0.4× 60 0.5× 150 1.3× 66 1.0× 23 295
Nadia Tosti Switzerland 10 166 0.9× 135 0.8× 38 0.3× 162 1.4× 66 1.0× 16 328
Hiroyuki Konno Japan 9 83 0.4× 199 1.2× 93 0.7× 138 1.2× 60 0.9× 9 333
Zeli Yin China 8 199 1.1× 100 0.6× 50 0.4× 217 1.9× 62 1.0× 11 371
Motohiro Kojima Japan 4 40 0.2× 125 0.8× 100 0.8× 115 1.0× 35 0.5× 6 291
Sarah Cappuyns Belgium 6 53 0.3× 78 0.5× 80 0.6× 75 0.7× 40 0.6× 12 205

Countries citing papers authored by Zu-Shun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zu-Shun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zu-Shun Chen. 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 Zu-Shun Chen. The network helps show where Zu-Shun Chen may publish in the future.

Co-authorship network of co-authors of Zu-Shun Chen

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

All Works

10 of 10 papers shown
1.
Xu, Jing‐Xuan, Yuangang Su, Yuanyuan Chen, et al.. (2025). Immune infiltration landscape and potential drug-targeted implications for hepatocellular carcinoma with ‘progression/hyper-progression’ recurrence. Annals of Medicine. 57(1). 2456113–2456113. 2 indexed citations
2.
Ma, Liang, Feixiang Wu, Yuanyuan Chen, et al.. (2021). S100P as a novel biomarker of microvascular invasion and portal vein tumor thrombus in hepatocellular carcinoma. Hepatology International. 15(1). 114–126. 22 indexed citations
3.
Chen, Zu-Shun, et al.. (2020). miR-221-3p promotes hepatocellular carcinogenesis by downregulating O6-methylguanine-DNA methyltransferase. Cancer Biology & Therapy. 21(10). 915–926. 19 indexed citations
4.
Qi, Lu‐Nan, Liang Ma, Yuanyuan Chen, et al.. (2019). Outcomes of anatomical versus non-anatomical resection for hepatocellular carcinoma according to circulating tumour-cell status. Annals of Medicine. 52(1-2). 21–31. 24 indexed citations
5.
Qi, Lu‐Nan, Bang‐De Xiang, Feixiang Wu, et al.. (2018). Circulating Tumor Cells Undergoing EMT Provide a Metric for Diagnosis and Prognosis of Patients with Hepatocellular Carcinoma. Cancer Research. 78(16). 4731–4744. 226 indexed citations
6.
Chen, Zu-Shun, Shao‐Liang Zhu, Lu‐Nan Qi, & Le‐Qun Li. (2018). A combination of subcuticular suture and enhanced recovery after surgery reduces wound complications in patients undergoing hepatectomy for hepatocellular carcinoma. Scientific Reports. 8(1). 12942–12942. 4 indexed citations
8.
Chen, Zu-Shun, Shao‐Liang Zhu, Lu‐Nan Qi, & Le‐Qun Li. (2016). Long-term survival and prognosis for primary clear cell carcinoma of the liver after hepatectomy. OncoTargets and Therapy. Volume 9. 4129–4135. 10 indexed citations
9.
Zhu, Shao‐Liang, Yun Zhao, Xueying Hu, et al.. (2016). Genetic polymorphisms -137 (rs187238) and -607 (rs1946518) in the interleukin-18 promoter may not be associated with development of hepatocellular carcinoma. Scientific Reports. 6(1). 39404–39404. 15 indexed citations
10.
Wu, Guobin, Chao‐Yuan Huang, Shan Huang, et al.. (2014). Primary hepatic non-Hodgkin’s lymphoma with rectal cancer: A case report. Oncology Letters. 9(1). 324–326. 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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