Zhen‐Bin Ding

6.2k total citations · 1 hit paper
89 papers, 4.1k citations indexed

About

Zhen‐Bin Ding is a scholar working on Oncology, Molecular Biology and Hepatology. According to data from OpenAlex, Zhen‐Bin Ding has authored 89 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 32 papers in Molecular Biology and 23 papers in Hepatology. Recurrent topics in Zhen‐Bin Ding's work include Cholangiocarcinoma and Gallbladder Cancer Studies (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (19 papers) and Pancreatic and Hepatic Oncology Research (13 papers). Zhen‐Bin Ding is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (19 papers) and Pancreatic and Hepatic Oncology Research (13 papers). Zhen‐Bin Ding collaborates with scholars based in China, Ethiopia and India. Zhen‐Bin Ding's co-authors include Jia Fan, Ying‐Hong Shi, Jian Zhou, Ai‐Wu Ke, Shuang–Jian Qiu, Xiaoying Wang, Guo‐Ming Shi, Zhi Dai, Yuan‐Fei Peng and Qiang Gao and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Zhen‐Bin Ding

82 papers receiving 4.1k citations

Hit Papers

CD36+ cancer-associated fibroblasts provide immunosuppres... 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen‐Bin Ding China 36 1.9k 1.3k 1.1k 1.0k 806 89 4.1k
Ai‐Wu Ke China 41 3.7k 2.0× 1.4k 1.1× 2.2k 2.0× 1.1k 1.1× 950 1.2× 93 5.9k
Stéphanie Roessler Germany 33 2.8k 1.5× 1.1k 0.8× 2.2k 2.0× 512 0.5× 501 0.6× 89 4.7k
Xiaowu Huang China 35 2.2k 1.2× 1.5k 1.2× 1.7k 1.6× 741 0.7× 1.2k 1.5× 112 4.8k
Junfang Ji China 25 3.1k 1.7× 1.3k 1.0× 2.4k 2.1× 698 0.7× 348 0.4× 55 4.9k
Lun‐Xiu Qin China 17 2.3k 1.2× 974 0.8× 1.8k 1.7× 473 0.5× 652 0.8× 20 4.1k
David S. Rickman United States 34 2.8k 1.5× 1.4k 1.1× 1.6k 1.5× 549 0.5× 496 0.6× 63 5.6k
Aiwu Ruth He United States 32 1.5k 0.8× 2.2k 1.7× 935 0.9× 609 0.6× 722 0.9× 187 4.5k
Zhao–You Tang China 38 2.4k 1.3× 1.5k 1.2× 1.8k 1.7× 911 0.9× 622 0.8× 164 5.7k
Zhao‐Chong Zeng China 37 2.2k 1.2× 1.5k 1.2× 1.4k 1.3× 625 0.6× 454 0.6× 198 5.1k
Éric Letouzé France 30 2.6k 1.4× 895 0.7× 2.1k 1.9× 883 0.9× 293 0.4× 59 5.3k

Countries citing papers authored by Zhen‐Bin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Zhen‐Bin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐Bin Ding. 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 Zhen‐Bin Ding. The network helps show where Zhen‐Bin Ding may publish in the future.

Co-authorship network of co-authors of Zhen‐Bin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen‐Bin Ding. A scholar is included among the top collaborators of Zhen‐Bin Ding 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 Zhen‐Bin Ding. Zhen‐Bin Ding 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.
He, Yifeng, Xiaowu Huang, Xiaoyong Huang, et al.. (2025). Graft PD-L1 as a predictive marker for rejection in PD-1 inhibitor therapy for recurrent liver tumors after transplant: A prospective pilot trial. Liver Transplantation. 32(2). 135–143.
5.
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Li, Min, Tao Ying, Zijun Gong, et al.. (2025). FUNDC1 drives cholangiocarcinoma progression via RAC1 interaction and ferroptosis suppression. International Journal of Biological Macromolecules. 321(Pt 1). 146087–146087. 1 indexed citations
7.
Lv, Xin, Zhen‐Bin Ding, Tingting Wang, & Ming Zhang. (2025). Analysis of the mediating effect of occupational burnout on the relationship between emotional labor and turnover intention among obstetric nurses. Frontiers in Public Health. 13. 1631669–1631669. 1 indexed citations
8.
Zhang, Lingfeng, Xinghuan Wang, Zhen‐Bin Ding, et al.. (2024). Pathological Microenvironment‐Remodeling Nanoparticles to Alleviate Liver Fibrosis: Reversing Hepatocytes‐Hepatic Stellate Cells Malignant Crosstalk. Advanced Science. 12(4). e2408898–e2408898. 4 indexed citations
9.
Zhu, Guiqi, Zheng Tang, Run Huang, et al.. (2023). CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor. Cell Discovery. 9(1). 25–25. 209 indexed citations breakdown →
10.
Huang, Ao, De‐Zhen Guo, Ying Sun, et al.. (2023). Serial circulating tumor DNA profiling predicts tumor recurrence after liver transplantation for liver cancer. Hepatology International. 18(1). 254–264. 7 indexed citations
11.
Gao, Zheng, Xiaogang Li, Ying‐Hong Shi, et al.. (2022). SQSTM1/p62 in intrahepatic cholangiocarcinoma promotes tumor progression via epithelial–mesenchymal transition and mitochondrial function maintenance. Cancer Medicine. 12(1). 459–471. 8 indexed citations
12.
Tian, Meng‐Xin, Wenjun He, Wei‐Ren Liu, et al.. (2018). A Novel Risk prediction Model for Patients with Combined Hepatocellular-Cholangiocarcinoma. Journal of Cancer. 9(6). 1025–1032. 15 indexed citations
14.
Shi, Jie-Yi, Qiang Gao, Zhichao Wang, et al.. (2013). Margin-Infiltrating CD20+ B Cells Display an Atypical Memory Phenotype and Correlate with Favorable Prognosis in Hepatocellular Carcinoma. Clinical Cancer Research. 19(21). 5994–6005. 182 indexed citations
15.
Gao, Qiang, Yingjun Zhao, Xiaoying Wang, et al.. (2012). CXCR6 Upregulation Contributes to a Proinflammatory Tumor Microenvironment That Drives Metastasis and Poor Patient Outcomes in Hepatocellular Carcinoma. Cancer Research. 72(14). 3546–3556. 136 indexed citations
16.
Ding, Zhen‐Bin, Bo Hui, Ying‐Hong Shi, et al.. (2011). Autophagy Activation in Hepatocellular Carcinoma Contributes to the Tolerance of Oxaliplatin via Reactive Oxygen Species Modulation. Clinical Cancer Research. 17(19). 6229–6238. 155 indexed citations
17.
Zhu, Kai, Zhi Dai, Qi Pan, et al.. (2011). Metadherin Promotes Hepatocellular Carcinoma Metastasis through Induction of Epithelial–Mesenchymal Transition. Clinical Cancer Research. 17(23). 7294–7302. 122 indexed citations
18.
Devbhandari, Ranjan Prasad, Guo‐Ming Shi, Ai‐Wu Ke, et al.. (2011). Profiling of the Tetraspanin CD151 Web and Conspiracy of CD151/Integrin β1 Complex in the Progression of Hepatocellular Carcinoma. PLoS ONE. 6(9). e24901–e24901. 34 indexed citations
19.
Ding, Zhen‐Bin, Ying‐Hong Shi, Jian Zhou, et al.. (2008). Association of Autophagy Defect with a Malignant Phenotype and Poor Prognosis of Hepatocellular Carcinoma. Cancer Research. 68(22). 9167–9175. 236 indexed citations
20.
Ke, Ai‐Wu, Guo‐Ming Shi, Jian Zhou, et al.. (2008). Role of overexpression of CD151 and/or c-Met in predicting prognosis of hepatocellular carcinoma #. Hepatology. 49(2). 491–503. 184 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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