Changjie Chen

3.5k total citations · 1 hit paper
90 papers, 2.5k citations indexed

About

Changjie Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Changjie Chen has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 26 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Changjie Chen's work include MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (9 papers) and Immunotherapy and Immune Responses (7 papers). Changjie Chen is often cited by papers focused on MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (9 papers) and Immunotherapy and Immune Responses (7 papers). Changjie Chen collaborates with scholars based in China, United States and Poland. Changjie Chen's co-authors include Jonathan A. Fletcher, Elisabetta Mueller, Pasha Sarraf, Todd G. Kroll, Bruce M. Spiegelman, Lorenza Pecciarini, Qingling Yang, Sulian Chen, Wenrui Wang and Antonio R. Pérez‐Atayde and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Changjie Chen

88 papers receiving 2.5k citations

Hit Papers

PAX8-PPAR γ 1 Fusion in Oncogene Human Thyroid Carcinoma 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changjie Chen China 24 1.4k 568 549 393 277 90 2.5k
Chunxiao Zhou United States 31 1.7k 1.2× 860 1.5× 625 1.1× 123 0.3× 224 0.8× 134 2.8k
Jerzy Pałka Poland 30 1.2k 0.9× 922 1.6× 1.1k 1.9× 225 0.6× 167 0.6× 165 3.1k
Bal L. Lokeshwar United States 33 1.5k 1.1× 592 1.0× 935 1.7× 170 0.4× 522 1.9× 74 3.4k
Zhuoying Wang China 26 968 0.7× 457 0.8× 559 1.0× 295 0.8× 352 1.3× 101 2.1k
Isabella T. Tai Canada 24 787 0.6× 332 0.6× 441 0.8× 215 0.5× 149 0.5× 49 1.9k
Michel Crépin France 24 1.0k 0.8× 428 0.8× 395 0.7× 144 0.4× 117 0.4× 70 1.9k
Huiling Liu China 29 1.7k 1.3× 885 1.6× 283 0.5× 115 0.3× 406 1.5× 87 3.0k
Kasper Thorsen Denmark 28 1.8k 1.3× 826 1.5× 312 0.6× 105 0.3× 257 0.9× 43 2.7k
Xiao‐Han Tang China 21 1.1k 0.8× 250 0.4× 321 0.6× 177 0.5× 103 0.4× 93 2.2k
Andrea Romano Netherlands 25 662 0.5× 320 0.6× 308 0.6× 242 0.6× 178 0.6× 110 2.4k

Countries citing papers authored by Changjie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Changjie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjie Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Changjie Chen. A scholar is included among the top collaborators of Changjie Chen 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 Changjie Chen. Changjie Chen 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
3.
Li, Ruonan, et al.. (2024). Potential therapies for non-coding RNAs in breast cancer. Frontiers in Oncology. 14. 1452666–1452666. 2 indexed citations
4.
Wei, Ke, Yulun Wu, Haitao Zhu, et al.. (2023). Exosome-derived miR-372-5p promotes stemness and metastatic ability of CRC cells by inducing macrophage polarization. Cellular Signalling. 111. 110884–110884. 5 indexed citations
5.
Wei, Xinyu, Haitao Zhu, Shiwen Zhang, et al.. (2023). Exosomal lncRNA NEAT1 induces paclitaxel resistance in breast cancer cells and promotes cell migration by targeting miR-133b. Gene. 860. 147230–147230. 27 indexed citations
6.
Wei, Ke, Yulun Wu, Haitao Zhu, et al.. (2023). Colorectal cancer tumor cell-derived exosomal miR-203a-3p promotes CRC metastasis by targeting PTEN-induced macrophage polarization. Gene. 885. 147692–147692. 26 indexed citations
7.
Yang, Qingling, et al.. (2023). Glycolysis-based drug delivery nanosystems for therapeutic use in tumors and applications. Biomedicine & Pharmacotherapy. 165. 115009–115009. 13 indexed citations
8.
Zhu, Haitao, Ziyang Liu, Sulian Chen, et al.. (2023). Layered Double Hydroxide-Loaded miR-30a for the Treatment of Breast Cancer In Vitro and In Vivo. ACS Omega. 8(21). 18435–18448. 5 indexed citations
9.
Zhao, Tingting, Changjie Chen, Jinxin Li, et al.. (2023). Comparative Transcriptome Analysis of High and Low Thujone-Producing Artemisia argyi Reveals Candidate Genes for Thujone Synthetic and Regulatory Pathway. Horticulturae. 9(2). 232–232. 3 indexed citations
10.
Chen, Changjie, et al.. (2020). Comparison of output rates of moxa and effective components in leaves of different Artemisia argyi varieties.. Xi'nan nongye xuebao. 33(8). 1785–1791. 1 indexed citations
11.
Wang, Yangyang, Haifeng Wang, Sulian Chen, et al.. (2017). N-peptide of vMIP-II reverses paclitaxel-resistance by regulating miRNA-335 in breast cancer. International Journal of Oncology. 51(3). 918–930. 11 indexed citations
12.
Tan, Yi Jer, Shukui Qin, Xin Hou, et al.. (2014). Proteomic-based Analysis for Identification of Proteins Involved in 5-fluorouracil Resistance in Hepatocellular Carcinoma. Current Pharmaceutical Design. 20(1). 81–87. 12 indexed citations
13.
Li, Wei, Yuqing Chen, Yuanbing Shen, et al.. (2013). HIF-1α knockdown by miRNA decreases survivin expression and inhibits A549 cell growth in vitro and in vivo. International Journal of Molecular Medicine. 32(2). 271–280. 23 indexed citations
14.
Cao, Minghua, et al.. (2012). Cannabinoid HU210 Protects Isolated Rat Stomach against Impairment Caused by Serum of Rats with Experimental Acute Pancreatitis. PLoS ONE. 7(12). e52921–e52921. 5 indexed citations
15.
Wang, Rui, Shukui Qin, Yuqing Chen, et al.. (2012). Enhanced anti-tumor and anti-angiogenic effects of metronomic cyclophosphamide combined with Endostar in a xenograft model of human lung cancer. Oncology Reports. 28(2). 439–445. 13 indexed citations
16.
Chen, Changjie. (2011). The research progress in the chemokine SDF-1 and the chemokine receptor CXCR4. 1 indexed citations
17.
Yang, Qingling, et al.. (2011). Suppression of breast cancer proliferation and induction of apoptosis via AKT and ERK1/2 signal transduction pathways by synthetic polypeptide derived from viral macrophage inflammatory protein II. Journal of Huazhong University of Science and Technology [Medical Sciences]. 31(4). 497–503. 6 indexed citations
18.
Li, Yongyu, et al.. (2010). Down-regulation of HSP60 expression by RNAi increases lipopolysaccharide- and cerulein-induced damages on isolated rat pancreatic tissues. Cell Stress and Chaperones. 15(6). 965–975. 12 indexed citations
19.
Chen, Changjie. (2008). Expression and potential role of chaperonin 60 in experimental acute pancreatitis. Zhongguo bingli shengli zazhi. 3 indexed citations
20.
Mukhopadhyay, Nishit K., Gavin J. Gordon, Changjie Chen, et al.. (2005). Activation of focal adhesion kinase in human lung cancer cells involves multiple and potentially parallel signaling events. Journal of Cellular and Molecular Medicine. 9(2). 387–397. 23 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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