Chaojun Duan

5.8k total citations · 1 hit paper
97 papers, 4.0k citations indexed

About

Chaojun Duan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chaojun Duan has authored 97 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 40 papers in Cancer Research and 19 papers in Oncology. Recurrent topics in Chaojun Duan's work include Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (24 papers) and Circular RNAs in diseases (14 papers). Chaojun Duan is often cited by papers focused on Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (24 papers) and Circular RNAs in diseases (14 papers). Chaojun Duan collaborates with scholars based in China, United States and South Korea. Chaojun Duan's co-authors include Chunfang Zhang, Yanhua Mou, Jinchun Wu, Bin Li, Dan He, Jun Wang, Liangyou Rui, Minghua Li, Zhenzi Peng and Dan He and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Chaojun Duan

92 papers receiving 4.0k citations

Hit Papers

Ferroptosis, a new form of cell death: opportunities and ... 2019 2026 2021 2023 2019 400 800 1.2k
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. Ferroptosis, a new form of cell death: opportunities and challenges in cancer
    2019 1.4k citations Yanhua Mou, Jinchun Wu et al. Journal of Hematology & Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaojun Duan China 29 2.7k 1.9k 1.3k 579 276 97 4.0k
Guoping Sun China 32 2.0k 0.8× 883 0.5× 985 0.8× 974 1.7× 347 1.3× 115 4.0k
Bettina Proneth Germany 19 1.6k 0.6× 1.2k 0.6× 1.6k 1.2× 237 0.4× 178 0.6× 26 2.7k
Christina Warnecke Germany 33 2.1k 0.8× 2.3k 1.2× 499 0.4× 369 0.6× 457 1.7× 44 4.4k
Desheng Xiao China 29 3.2k 1.2× 2.3k 1.2× 1.8k 1.4× 651 1.1× 268 1.0× 116 4.4k
Weiyi Fang China 37 2.9k 1.1× 1.8k 0.9× 470 0.4× 1.0k 1.8× 319 1.2× 138 4.5k
Alois Haromy Canada 26 3.4k 1.3× 1.8k 0.9× 2.9k 2.2× 392 0.7× 252 0.9× 37 6.6k
Gopinath Sutendra Canada 26 2.2k 0.8× 1.2k 0.6× 1.4k 1.1× 266 0.5× 187 0.7× 49 3.8k
Yang‐Sook Chun South Korea 33 2.1k 0.8× 1.5k 0.8× 298 0.2× 682 1.2× 263 1.0× 68 3.6k
Dan Han China 14 1.7k 0.6× 1.1k 0.6× 1.5k 1.1× 341 0.6× 342 1.2× 35 3.2k
Peng Hou China 41 3.3k 1.2× 1.1k 0.6× 618 0.5× 1.3k 2.2× 429 1.6× 177 5.7k

Countries citing papers authored by Chaojun Duan

Since Specialization
Citations

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

Fields of papers citing papers by Chaojun Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaojun Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Chaojun Duan. A scholar is included among the top collaborators of Chaojun Duan 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 Chaojun Duan. Chaojun Duan 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.
He, Mei, et al.. (2025). Digital technology innovation, value chain reshaping and digital transformation. Finance research letters. 85. 107850–107850. 2 indexed citations
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Liu, Shujie, et al.. (2024). New insights into the stromal interaction molecule 2 function and its impact on the immunomodulation of tumor microenvironment. Cell & Bioscience. 14(1). 119–119. 1 indexed citations
5.
Li, Xin, et al.. (2023). Day surgery unit robotics thoracic surgery: feasibility and management. Journal of Cancer Research and Clinical Oncology. 149(10). 7831–7836. 4 indexed citations
6.
Harbeck, Nadia, Chaojun Duan, Kelly DuPree, et al.. (2023). 2232O Atezolizumab (atezo) and tumour microenvironment in early triple-negative breast cancer (eTNBC): Exploratory biomarker analysis from IMpassion031. Annals of Oncology. 34. S1149–S1150.
7.
Zhao, Deze, et al.. (2023). tRNA Modifications and Modifying Enzymes in Disease, the Potential Therapeutic Targets. International Journal of Biological Sciences. 19(4). 1146–1162. 25 indexed citations
8.
Wang, Shaoqiang, Li Wang, Hang Lin, et al.. (2022). m6A methyltransferase METTL3-induced lncRNA SNHG17 promotes lung adenocarcinoma gefitinib resistance by epigenetically repressing LATS2 expression. Cell Death and Disease. 13(7). 657–657. 62 indexed citations
9.
Wang, Jun, Xianyu Liu, Qun Xie, et al.. (2022). Plasma tRNA-derived small RNAs signature as a predictive and prognostic biomarker in lung adenocarcinoma. Cancer Cell International. 22(1). 59–59. 28 indexed citations
10.
11.
Zhang, Feng, Chaojun Duan, Shi Yin, & Ye Tian. (2020). MicroRNA-379-5p/YBX1 Axis Regulates Cellular EMT to Suppress Migration and Invasion of Nasopharyngeal Carcinoma Cells. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Wang, Jun, Wenyuan Zhao, Zhenzi Peng, et al.. (2020). Vasculogenic mimicry in carcinogenesis and clinical applications. Journal of Hematology & Oncology. 13(1). 19–19. 224 indexed citations
13.
Li, Bin, Junhui Huang, Meizuo Zhong, et al.. (2017). Lysophosphatidic Acid is a Biomarker for Peritoneal Carcinomatosis of Gastric Cancer and Correlates with Poor Prognosis. Genetic Testing and Molecular Biomarkers. 21(11). 641–648. 22 indexed citations
14.
Peng, Zhenzi, Jun Wang, Bin Shan, et al.. (2017). Genome-wide analyses of long noncoding RNA expression profiles in lung adenocarcinoma. Scientific Reports. 7(1). 15331–15331. 19 indexed citations
15.
Deng, Xiyun, Chaojun Duan, Lisa A. Baer, et al.. (2015). Adiponectin in Fresh Frozen Plasma Contributes to Restoration of Vascular Barrier Function After Hemorrhagic Shock. Shock. 45(1). 50–54. 42 indexed citations
16.
Peng, Zhengke, Na Liu, Damao Huang, et al.. (2013). N,N'-Dinitrosopiperazine–Mediated Heat-Shock Protein 70-2 Expression Is Involved in Metastasis of Nasopharyngeal Carcinoma. PLoS ONE. 8(5). e62908–e62908. 9 indexed citations
17.
Duan, Chaojun. (2011). Relationship of SH2-B and motility and invasion of colon cancer cells. Zhonghua zhongliu fangzhi zazhi. 2 indexed citations
18.
Xiao, Zhi‐Qiang, Yingfu Liu, Yongheng Chen, et al.. (2009). Quantitative proteomic analysis of differential proteins in the stroma of nasopharyngeal carcinoma and normal nasopharyngeal epithelial tissue. Journal of Cellular Biochemistry. 106(4). 570–579. 22 indexed citations
19.
Tang, Can‐E, Li Cui, Zhi‐Qiang Xiao, et al.. (2006). [Comparative proteome analysis of human lung squamous cell carcinoma].. PubMed. 28(4). 274–9. 3 indexed citations
20.
Zhang, Xiao Peng, et al.. (2002). LCRG1 suppresses tumor growth in vivo by liposome-mediated gene transfer. Chinese Journal of Cancer Research. 14(2). 113–117. 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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