Dong Cen

1.4k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Dong Cen is a scholar working on Biomedical Engineering, Molecular Biology and Cancer Research. According to data from OpenAlex, Dong Cen has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 13 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Dong Cen's work include Nanoplatforms for cancer theranostics (15 papers), MicroRNA in disease regulation (4 papers) and Advanced Nanomaterials in Catalysis (4 papers). Dong Cen is often cited by papers focused on Nanoplatforms for cancer theranostics (15 papers), MicroRNA in disease regulation (4 papers) and Advanced Nanomaterials in Catalysis (4 papers). Dong Cen collaborates with scholars based in China, United States and United Kingdom. Dong Cen's co-authors include Xiujun Cai, Xiang Li, Yifan Wang, Gaorong Han, Congkun Xie, Yongjun Wu, Junjie Xu, Lin Ji, Zhaohui Ren and Zhe Wan and has published in prestigious journals such as Cell, Advanced Materials and Nano Letters.

In The Last Decade

Dong Cen

33 papers receiving 1.1k citations

Hit Papers

ZnS@BSA Nanoclusters Potentiate Efficacy of Cancer Immuno... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ZnS@BSA Nanoclusters Potentiate Efficacy of Cancer Immunotherapy
    2021 184 citations Dong Cen, Jiansheng Guo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Cen China 14 524 492 310 246 174 37 1.1k
Shipeng Ning China 21 643 1.2× 673 1.4× 386 1.2× 362 1.5× 176 1.0× 67 1.4k
Yonglin Lu China 19 423 0.8× 503 1.0× 208 0.7× 199 0.8× 223 1.3× 40 1.1k
Md. Nazir Hossen United States 21 489 0.9× 410 0.8× 143 0.5× 206 0.8× 403 2.3× 37 1.3k
Xiao Xu China 21 615 1.2× 475 1.0× 150 0.5× 123 0.5× 306 1.8× 56 1.3k
Tingsheng Lin China 18 281 0.5× 454 0.9× 114 0.4× 292 1.2× 174 1.0× 26 1.0k
Xuecheng Yang China 20 420 0.8× 193 0.4× 220 0.7× 164 0.7× 92 0.5× 43 1.1k
Chunai Gong China 17 844 1.6× 611 1.2× 403 1.3× 126 0.5× 414 2.4× 23 1.4k

Countries citing papers authored by Dong Cen

Since Specialization
Citations

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

Fields of papers citing papers by Dong Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Cen

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Cen. A scholar is included among the top collaborators of Dong Cen 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 Dong Cen. Dong Cen 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.
Wang, Liying, Li Liu, Jinyan Xie, et al.. (2025). A Nanosystem Alleviates Severe Acute Pancreatitis via Reactive Oxygen Species Scavenging and Enhancing Mitochondrial Autophagy. Nano Letters. 25(21). 8644–8654. 4 indexed citations
2.
Zheng, Bingzhu, Xiaomeng Dai, Jingya Li, et al.. (2025). Amplifying Anti‐Tumor Immune Responses via Mitochondria‐Targeting Near‐Infrared Photodynamic Therapy. Advanced Science. 12(33). e05525–e05525. 3 indexed citations
3.
4.
Xu, Yan‐Ming, Xiaoge Zhang, Han Xiao, et al.. (2025). Sensitized mast cells for targeted drug delivery and augmented cancer immunotherapy. Cell. 189(3). 872–886.e23.
5.
Pan, Haoqi, Mingming Xiao, Xu He, et al.. (2024). Multifunctional RGD coated a single-atom iron nanozyme: A highly selective approach to inducing ferroptosis and enhancing immunotherapy for pancreatic cancer. Nano Research. 17(6). 5469–5478. 5 indexed citations
6.
Chen, Guojun, Dong Cen, Xian-fa Wang, et al.. (2022). Application of Overlap Gastroduodenostomy in Billroth I Anastomosis after Totally Laparoscopic Distal Gastrectomy for Gastric Cancer. Canadian Journal of Gastroenterology and Hepatology. 2022. 1–5.
7.
Zheng, Xiaojiao, et al.. (2022). Overexpression of hepatocyte growth factor protects chronic myeloid leukemia cells from apoptosis induced by etoposide. Oncology Letters. 23(4). 122–122. 1 indexed citations
8.
Xu, Junjie, Zhe Wan, Minyue Tang, et al.. (2020). N6-methyladenosine-modified CircRNA-SORE sustains sorafenib resistance in hepatocellular carcinoma by regulating β-catenin signaling. Molecular Cancer. 19(1). 163–163. 214 indexed citations
9.
Cen, Dong, Zhe Wan, Yike Fu, et al.. (2020). Implantable fibrous ‘patch’ enabling preclinical chemo-photothermal tumor therapy. Colloids and Surfaces B Biointerfaces. 192. 111005–111005. 13 indexed citations
10.
Ji, Lin, Zhongjie Lin, Zhe Wan, et al.. (2020). miR-486-3p mediates hepatocellular carcinoma sorafenib resistance by targeting FGFR4 and EGFR. Cell Death and Disease. 11(4). 250–250. 69 indexed citations
11.
Cen, Dong, Yike Fu, Chao Fang, et al.. (2020). Biodegradable MnFe-hydroxide nanocapsules to enable multi-therapeutics delivery and hypoxia-modulated tumor treatment. Journal of Materials Chemistry B. 8(17). 3929–3938. 12 indexed citations
12.
Cen, Dong, Zhaohui Ren, Yifan Wang, et al.. (2019). Bismuth embedded silica nanoparticles loaded with autophagy suppressant to promote photothermal therapy. Biomaterials. 221. 119419–119419. 68 indexed citations
13.
14.
Yang, Jianhui, et al.. (2018). Paeoniflorin inhibits the growth of bladder carcinoma via deactivation of STAT3. Acta Pharmaceutica. 68(2). 211–222. 19 indexed citations
15.
Liu, Hui, Dong Cen, Yunxian Yu, et al.. (2018). Does fibrosis have an impact on survival of patients with hepatocellular carcinoma: evidence from the SEER database?. BMC Cancer. 18(1). 1125–1125. 12 indexed citations
16.
17.
Zheng, Longbo, Ming Xu, Junjie Xu, et al.. (2018). ELF3 promotes epithelial–mesenchymal transition by protecting ZEB1 from miR-141-3p-mediated silencing in hepatocellular carcinoma. Cell Death and Disease. 9(3). 387–387. 84 indexed citations
18.
Cen, Dong, Jiang Chen, Zheyong Li, Jie Zhao, & Xiujun Cai. (2017). Prognostic significance of cytokeratin 19 expression in pancreatic neuroendocrine tumor: A meta-analysis. PLoS ONE. 12(11). e0187588–e0187588. 19 indexed citations
19.
Zhang, Yun, Yang Xu, Xiaohong Guo, et al.. (2016). Scaffolding protein Gab1 regulates myeloid dendritic cell migration in allergic asthma. Cell Research. 26(11). 1226–1241. 16 indexed citations
20.
Wen, Yang‐An, Xiaolin Yu, Qianfeng Xia, et al.. (2009). Macrophage-specific overexpression of antimicrobial peptide PR-39 inhibits intracellular growth of Salmonella enterica serovar Typhimurium in macrophage cells. International Journal of Antimicrobial Agents. 34(4). 315–321. 9 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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