Changjin Chen

435 total citations
9 papers, 345 citations indexed

About

Changjin Chen is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Changjin Chen has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Rheumatology and 3 papers in Cancer Research. Recurrent topics in Changjin Chen's work include RNA modifications and cancer (4 papers), Folate and B Vitamins Research (4 papers) and Porphyrin Metabolism and Disorders (2 papers). Changjin Chen is often cited by papers focused on RNA modifications and cancer (4 papers), Folate and B Vitamins Research (4 papers) and Porphyrin Metabolism and Disorders (2 papers). Changjin Chen collaborates with scholars based in United States and China. Changjin Chen's co-authors include Zong‐Zhi Huang, Zhaohui Zeng, Shelly C. Lu, Heping Yang, Robert Selby, Hu Q, Ziyi Zhao, Liu Hong, Jinhao Zeng and Menglin Zhu and has published in prestigious journals such as Gastroenterology, PLoS ONE and Biochemical Journal.

In The Last Decade

Changjin Chen

9 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changjin Chen United States 7 229 70 62 55 40 9 345
Cristiano Ramos Portugal 12 202 0.9× 98 1.4× 62 1.0× 23 0.4× 55 1.4× 16 407
Eric Cellarier France 8 167 0.7× 88 1.3× 93 1.5× 75 1.4× 44 1.1× 10 356
Chuanzhong Mei China 10 263 1.1× 111 1.6× 60 1.0× 17 0.3× 46 1.1× 15 387
Mariana Gutiérrez Argentina 12 238 1.0× 16 0.2× 73 1.2× 34 0.6× 11 0.3× 24 438
Mandar Deodhar Australia 8 233 1.0× 21 0.3× 35 0.6× 26 0.5× 46 1.1× 14 369
Cissy Zhang United States 10 301 1.3× 232 3.3× 40 0.6× 13 0.2× 88 2.2× 21 511
Janice Darlington Türkiye 12 293 1.3× 21 0.3× 39 0.6× 15 0.3× 36 0.9× 16 490
Jingyang He China 11 222 1.0× 59 0.8× 82 1.3× 7 0.1× 55 1.4× 21 324
Zafar Iqbal Pakistan 11 162 0.7× 47 0.7× 18 0.3× 22 0.4× 55 1.4× 21 342

Countries citing papers authored by Changjin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Changjin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Changjin Chen. A scholar is included among the top collaborators of Changjin 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 Changjin Chen. Changjin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hong, Liu, Changjin Chen, Jinhao Zeng, Ziyi Zhao, & Hu Q. (2021). MicroRNA-210-3p is transcriptionally upregulated by hypoxia induction and thus promoting EMT and chemoresistance in glioma cells. PLoS ONE. 16(7). e0253522–e0253522. 30 indexed citations
2.
Chen, Changjin, et al.. (2018). Rab‑like protein 1 A is upregulated by cisplatin treatment and partially inhibits chemoresistance by regulating p53 activity. Oncology Letters. 16(4). 4593–4599. 3 indexed citations
3.
Q, Hu, et al.. (2017). 17β-Estradiol treatment drives Sp1 to upregulate MALAT-1 expression and epigenetically affects physiological processes in U2OS cells. Molecular Medicine Reports. 15(3). 1335–1342. 12 indexed citations
4.
Zhao, Ziyi, et al.. (2016). Synergy between von Hippel-Lindau and P53 contributes to chemosensitivity of clear cell renal cell carcinoma. Molecular Medicine Reports. 14(3). 2785–2790. 12 indexed citations
5.
Yang, Heping, Zong‐Zhi Huang, Zhaohui Zeng, et al.. (2001). Role of promoter methylation in increased methionine adenosyltransferase 2A expression in human liver cancer. American Journal of Physiology-Gastrointestinal and Liver Physiology. 280(2). G184–G190. 51 indexed citations
6.
Huang, Zong‐Zhi, et al.. (2000). Mechanism and significance of increased glutathione level in human hepatocellular carcinoma and liver regeneration. The FASEB Journal. 15(1). 19–21. 200 indexed citations
7.
Zeng, Zhaohui, et al.. (2000). The role of c-Myb in the up-regulation of methionine adenosyltransferase 2A expression in activated Jurkat cells. Biochemical Journal. 353(1). 163–168. 15 indexed citations
8.
Zeng, Zhaohui, et al.. (2000). Cloning and functional characterization of the 5′-flanking region of human methionine adenosyltransferase 1A gene. Biochemical Journal. 346(2). 475–482. 20 indexed citations
9.
Lu, Shelly C., Heping Yang, Zhaohui Zeng, Zong‐Zhi Huang, & Changjin Chen. (2000). The role of C-MYB and SP-1 in the up-regulation of methionine adenosyltransferase 2A gene expression in human hepatocellular carcinoma. Gastroenterology. 118(4). A1020–A1020. 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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