Yue‐Can Zeng

612 total citations
29 papers, 460 citations indexed

About

Yue‐Can Zeng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yue‐Can Zeng has authored 29 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Yue‐Can Zeng's work include RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Yue‐Can Zeng is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Yue‐Can Zeng collaborates with scholars based in China, United States and Australia. Yue‐Can Zeng's co-authors include Rui Xing, Wei‐Chien Huang, Feng Chi, Rong Wu, Mark A. Lehrman, Rong Wu, Meng‐Yu Chen, Yang Liu, Jiajia Chen and Song Gao and has published in prestigious journals such as Journal of Biological Chemistry, Frontiers in Oncology and Critical Reviews in Oncology/Hematology.

In The Last Decade

Yue‐Can Zeng

27 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue‐Can Zeng China 14 192 182 78 62 61 29 460
Shunying Zhu China 15 342 1.8× 230 1.3× 57 0.7× 131 2.1× 35 0.6× 32 792
Yuchao Dong China 11 177 0.9× 87 0.5× 88 1.1× 110 1.8× 35 0.6× 27 405
Agapi Kataki Greece 14 227 1.2× 192 1.1× 57 0.7× 54 0.9× 59 1.0× 36 529
Hiroki Izumi Japan 14 175 0.9× 251 1.4× 55 0.7× 179 2.9× 62 1.0× 68 528
Siming Xie China 11 317 1.7× 139 0.8× 118 1.5× 55 0.9× 24 0.4× 24 519
Guilin Chen China 14 171 0.9× 53 0.3× 95 1.2× 59 1.0× 44 0.7× 36 434
Fujun Han China 11 182 0.9× 129 0.7× 70 0.9× 80 1.3× 11 0.2× 29 414
Sven Hauke Germany 12 235 1.2× 68 0.4× 82 1.1× 91 1.5× 33 0.5× 17 563

Countries citing papers authored by Yue‐Can Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Yue‐Can Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue‐Can Zeng. 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 Yue‐Can Zeng. The network helps show where Yue‐Can Zeng may publish in the future.

Co-authorship network of co-authors of Yue‐Can Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Yue‐Can Zeng. A scholar is included among the top collaborators of Yue‐Can Zeng 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 Yue‐Can Zeng. Yue‐Can Zeng 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.
Su, Ke, Xin Liu, Yue‐Can Zeng, et al.. (2025). Machine Learning Radiomics for Predicting Response to MR-Guided Radiotherapy in Unresectable Hepatocellular Carcinoma: A Multicenter Cohort Study. Journal of Hepatocellular Carcinoma. Volume 12. 933–947.
2.
3.
Chen, Meng‐Yu, et al.. (2022). Chemotherapy- and Immune-Related Gene Panel in Prognosis Prediction and Immune Microenvironment of SCLC. Frontiers in Cell and Developmental Biology. 10. 893490–893490. 5 indexed citations
4.
Chen, Jiajia, et al.. (2021). Decreased DUSP26 Expression Promotes Malignant Behavior in Glioblastoma Cells via Deregulation of MAPK and Akt Signaling Pathway. Frontiers in Oncology. 11. 622826–622826. 4 indexed citations
5.
Chen, Meng‐Yu & Yue‐Can Zeng. (2021). Pseudoprogression in lung cancer patients treated with immunotherapy. Critical Reviews in Oncology/Hematology. 169. 103531–103531. 22 indexed citations
6.
Huang, Wei‐Chien, Jiajia Chen, Rui Xing, & Yue‐Can Zeng. (2020). Combination therapy: Future directions of immunotherapy in small cell lung cancer. Translational Oncology. 14(1). 100889–100889. 40 indexed citations
7.
Xing, Rui, Jiangshan Lian, Xiaoming Zhou, et al.. (2020). ATM induces radioresistance of non-small cell lung cancer A549 cells by downregulation of MDMX. Internatuinal Journal of Radiation Research. 18(4). 835–840. 1 indexed citations
8.
Huang, Wei‐Chien & Yue‐Can Zeng. (2019). A candidate for lung cancer treatment: arsenic trioxide. Clinical & Translational Oncology. 21(9). 1115–1126. 46 indexed citations
9.
Zeng, Yue‐Can, Dan Sun, Wenhui Li, Jing Zhao, & Xin Yan. (2017). Gankyrin promotes the proliferation of gastric cancer and is associated with chemosensitivity. Tumor Biology. 39(6). 3726132082–3726132082. 11 indexed citations
10.
Sun, Ming, Wenyan Zhao, Yue‐Can Zeng, et al.. (2017). Fibrous sheath interacting protein 1 overexpression is associated with unfavorable prognosis in bladder cancer: a potential therapeutic target. OncoTargets and Therapy. Volume 10. 3949–3956. 7 indexed citations
11.
Gao, Song, Zhiying Zhao, Rong Wu, et al.. (2016). Bone marrow mesenchymal stem cell transplantation improves radiation-induced heart injury through DNA damage repair in rat model. Radiation and Environmental Biophysics. 56(1). 63–77. 28 indexed citations
12.
Xing, Rui, et al.. (2016). RBX1 expression is an unfavorable prognostic factor in patients with non-small cell lung cancer. Surgical Oncology. 25(3). 147–151. 15 indexed citations
13.
Chi, Feng, et al.. (2016). Sestrin2 expression is a favorable prognostic factor in patients with non-small cell lung cancer.. PubMed. 8(4). 1903–9. 33 indexed citations
14.
Zeng, Yue‐Can, Feng Chi, Rui Xing, et al.. (2015). Pretreatment neutrophil-to-lymphocyte ratio predicts prognosis in patients with locoregionally advanced laryngeal carcinoma treated with chemoradiotherapy. Japanese Journal of Clinical Oncology. 46(2). hyv175–hyv175. 30 indexed citations
15.
Chi, Feng, et al.. (2012). Effects of toremifene versus tamoxifen on breast cancer patients: a meta-analysis. Breast Cancer. 20(2). 111–122. 14 indexed citations
16.
Zeng, Yue‐Can, Xue Ming, Feng Chi, et al.. (2012). C-reactive protein level predicts prognosis in patients with locoregionally advanced laryngeal carcinoma treated with chemoradiotherapy. Tumor Biology. 33(3). 891–895. 18 indexed citations
17.
Chi, Feng, Rong Wu, Yue‐Can Zeng, Rui Xing, & Yang Liu. (2012). Circulation insulin-like growth factor peptides and colorectal cancer risk: an updated systematic review and meta-analysis. Molecular Biology Reports. 40(5). 3583–3590. 54 indexed citations
18.
Gao, Song, Rong Wu, & Yue‐Can Zeng. (2011). Up-regulation of peroxisome proliferator-activated receptor gamma in radiation-induced heart injury in rats. Radiation and Environmental Biophysics. 51(1). 53–59. 18 indexed citations
19.
Wu, Rong & Yue‐Can Zeng. (2008). Does angiotensin II–aldosterone have a role in radiation-induced heart disease?. Medical Hypotheses. 72(3). 263–266. 20 indexed citations
20.
Xiong, Huangui, Yue‐Can Zeng, Jialin Zheng, Michael R. Thylin, & Howard E. Gendelman. (1999). Soluble HIV-1 infected macrophage secretory products mediate blockade of long-term potentiation: a mechanism for cognitive dysfunction in HIV-1-associated dementia. Journal of NeuroVirology. 5(5). 519–528. 27 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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