Decai Yu

3.0k total citations
94 papers, 2.1k citations indexed

About

Decai Yu is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Decai Yu has authored 94 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 33 papers in Cancer Research and 28 papers in Surgery. Recurrent topics in Decai Yu's work include Cancer, Hypoxia, and Metabolism (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers) and Liver Disease Diagnosis and Treatment (12 papers). Decai Yu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers) and Liver Disease Diagnosis and Treatment (12 papers). Decai Yu collaborates with scholars based in China, United States and Spain. Decai Yu's co-authors include Yitao Ding, Bin Kang, Shuquan Chang, Yaodong Dai, Gang Meng, Jiwu Wei, Yitao Ding, Binghua Li, Tiancheng Xu and Xitai Sun and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Decai Yu

90 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Decai Yu China 28 1.1k 760 385 282 246 94 2.1k
Meng Liang China 23 804 0.7× 752 1.0× 232 0.6× 294 1.0× 204 0.8× 89 2.1k
Yitao Ding China 30 1.3k 1.2× 895 1.2× 406 1.1× 240 0.9× 305 1.2× 63 2.3k
Tsung‐Ching Lai Taiwan 26 2.1k 1.9× 1.4k 1.8× 471 1.2× 383 1.4× 183 0.7× 57 3.5k
Qiong Wu China 28 1.1k 1.0× 608 0.8× 833 2.2× 244 0.9× 70 0.3× 97 2.3k
Wence Zhou China 18 584 0.5× 452 0.6× 574 1.5× 285 1.0× 92 0.4× 90 1.7k
Jin Zhu China 30 1.3k 1.2× 341 0.4× 1.0k 2.7× 296 1.0× 137 0.6× 132 2.9k
Shuzhong Cui China 25 1.4k 1.3× 884 1.2× 668 1.7× 699 2.5× 75 0.3× 91 2.9k
Yu Xiang China 27 2.0k 1.8× 1.1k 1.5× 263 0.7× 114 0.4× 144 0.6× 75 2.9k
Jinghuan Li China 21 1.4k 1.3× 1.0k 1.3× 199 0.5× 155 0.5× 83 0.3× 51 2.2k
Xiangjun Meng China 20 781 0.7× 290 0.4× 384 1.0× 139 0.5× 121 0.5× 41 1.4k

Countries citing papers authored by Decai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Decai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Decai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Decai Yu. A scholar is included among the top collaborators of Decai Yu 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 Decai Yu. Decai Yu 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.
Deng, Mingming, et al.. (2025). Systemic treatment for recurrence of hepatocellular carcinoma after liver transplantation: a case report. Journal of Gastrointestinal Oncology. 16(1). 309–316.
2.
Wang, Ye, Yanjun Lu, Yanchao Xu, et al.. (2024). β-Catenin Activation Reprograms Ammonia Metabolism to Promote Senescence Resistance in Hepatocellular Carcinoma. Cancer Research. 84(10). 1643–1658. 15 indexed citations
3.
Xu, Tiancheng, Lei Yu, Yajuan Cao, et al.. (2024). Apolipoprotein A1-encoding recombinant adenovirus remodels cholesterol metabolism in tumors and the tumor microenvironment to inhibit hepatocellular carcinoma. Translational research. 275. 18–31. 5 indexed citations
4.
5.
Li, Binghua, et al.. (2024). Comprehensive analysis of transcriptomic biomarkers for predicting response to atezolizumab plus bevacizumab immunotherapy in hepatocellular carcinoma. Clinical and Molecular Hepatology. 31(1). e31–e34. 1 indexed citations
6.
Chen, Chaobo, et al.. (2024). T cell-related ubiquitination genes as prognostic indicators in hepatocellular carcinoma. Frontiers in Immunology. 15. 1424752–1424752. 4 indexed citations
7.
Su, Ke, Binghua Li, Ye Wang, et al.. (2023). Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study. BMC Cancer. 23(1). 1081–1081. 4 indexed citations
8.
Jiang, Xiang, Jin Peng, Yuanyuan Xie, et al.. (2023). Oxoglutarate dehydrogenase-like inhibits the progression of hepatocellular carcinoma by inducing DNA damage through non-canonical function. Cell Death and Differentiation. 30(8). 1931–1942. 6 indexed citations
9.
Li, Yunzheng, Binghua Li, Yanchao Xu, et al.. (2022). GOT2 Silencing Promotes Reprogramming of Glutamine Metabolism and Sensitizes Hepatocellular Carcinoma to Glutaminase Inhibitors. Cancer Research. 82(18). 3223–3235. 48 indexed citations
10.
Xiao, Qi, Jingwen Yin, Chonghui Li, et al.. (2022). Med23 supports angiogenesis and maintains vascular integrity through negative regulation of angiopoietin2 expression. Communications Biology. 5(1). 374–374. 4 indexed citations
11.
Xu, Tiancheng, Decai Yu, Weihong Zhou, & Lei Yu. (2022). A nomogram model for the risk prediction of type 2 diabetes in healthy eastern China residents: a 14-year retrospective cohort study from 15,166 participants. The EPMA Journal. 13(3). 397–405. 8 indexed citations
12.
Li, Binghua, Jun Chen, Peng Jin, et al.. (2022). Combined clinical features and MRI parameters for the prediction of VEGFR2 in hepatocellular carcinoma patients. Frontiers in Oncology. 12. 961530–961530. 3 indexed citations
13.
Sun, Qikai, Zechuan Zhang, Yijun Lu, et al.. (2019). Loss of Xanthine Oxidoreductase Potentiates Propagation of Hepatocellular Carcinoma Stem Cells. Hepatology. 71(6). 2033–2049. 32 indexed citations
14.
Cao, Yajuan, Binghua Li, Xianbiao Shi, et al.. (2018). Effects of GLS1 on the epithelial-mesenchymal transition of hepatocellular carcinoma in vitro and i n vivo. Translational Cancer Research. 7(1). 97–108. 2 indexed citations
15.
16.
Lai, Shanshan, Dandan Zhao, Peng Cao, et al.. (2015). PP2Acα positively regulates the termination of liver regeneration in mice through the AKT/GSK3β/Cyclin D1 pathway. Journal of Hepatology. 64(2). 352–360. 34 indexed citations
17.
Peng, Chunyan, Guifang Xu, Tingsheng Ling, et al.. (2015). Evaluation of preoperative endoscopic ultrasonography for diagnosis and invasive risk assessment of gastric gastrointestinal stromal tumors: a single-center retrospective study. Zhonghua xiaohua neijing zazhi. 32(6). 361–366. 1 indexed citations
18.
Kang, Bin, Decai Yu, Shuquan Chang, et al.. (2008). Intracellular uptake, trafficking and subcellular distribution of folate conjugated single walled carbon nanotubes within living cells. Nanotechnology. 19(37). 375103–375103. 39 indexed citations
19.
Brener, N. E., et al.. (2004). Three-dimensional route planning for large grids. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 1 indexed citations
20.
Chen, Zhong, et al.. (2003). Bioartificial Liver Inoculated with Porcine Hepatocyte Spheroids for Treatment of Canine Acute Liver Failure Model. Artificial Organs. 27(7). 613–622. 10 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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