Cuifang Chang

887 total citations
69 papers, 683 citations indexed

About

Cuifang Chang is a scholar working on Molecular Biology, Hepatology and Surgery. According to data from OpenAlex, Cuifang Chang has authored 69 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 38 papers in Hepatology and 18 papers in Surgery. Recurrent topics in Cuifang Chang's work include Liver physiology and pathology (38 papers), Liver Disease Diagnosis and Treatment (16 papers) and MicroRNA in disease regulation (11 papers). Cuifang Chang is often cited by papers focused on Liver physiology and pathology (38 papers), Liver Disease Diagnosis and Treatment (16 papers) and MicroRNA in disease regulation (11 papers). Cuifang Chang collaborates with scholars based in China, United States and Thailand. Cuifang Chang's co-authors include Cunshuan Xu, Gaiping Wang, Yanhui Chen, Lifei Li, Weiming Zhao, Yin Li, Yunpeng Hao, Lei Wang, Shasha Chen and Xiaofang Li and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Cuifang Chang

68 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuifang Chang China 14 406 248 197 149 112 69 683
María Arechederra Spain 17 593 1.5× 211 0.9× 143 0.7× 127 0.9× 85 0.8× 41 932
Antoine L’Hermitte United States 8 391 1.0× 204 0.8× 102 0.5× 131 0.9× 57 0.5× 10 672
Sang‐Woo Kim South Korea 15 556 1.4× 331 1.3× 98 0.5× 135 0.9× 48 0.4× 25 826
Gennady P. Ilyin France 10 256 0.6× 114 0.5× 84 0.4× 100 0.7× 57 0.5× 12 1.9k
Yunhai Luo China 16 654 1.6× 153 0.6× 68 0.3× 76 0.5× 89 0.8× 32 878
Joaquim Moreno‐Càceres Spain 8 297 0.7× 104 0.4× 279 1.4× 222 1.5× 76 0.7× 8 669
Mohini A. Patil United States 12 479 1.2× 136 0.5× 102 0.5× 55 0.4× 59 0.5× 15 661
Pamela Troisch United States 5 769 1.9× 701 2.8× 104 0.5× 152 1.0× 72 0.6× 7 1.1k
Arthur Brouillet France 18 295 0.7× 79 0.3× 142 0.7× 172 1.2× 189 1.7× 23 723
Guo‐Zhong Tao United States 14 380 0.9× 71 0.3× 94 0.5× 152 1.0× 100 0.9× 28 706

Countries citing papers authored by Cuifang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cuifang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuifang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Cuifang Chang. A scholar is included among the top collaborators of Cuifang Chang 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 Cuifang Chang. Cuifang Chang 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.
Chen, Mengjiao, et al.. (2023). Metabolome analysis reveals flavonoid changes during the leaf color transition in Populus × euramericana ‘Zhonghuahongye’. Frontiers in Plant Science. 14. 1162893–1162893. 6 indexed citations
2.
Wang, Gaiping, et al.. (2023). Overview of CircRNAs Roles and Mechanisms in Liver Fibrosis. Biomolecules. 13(6). 940–940. 6 indexed citations
3.
Huang, Qian, Pengfei Liu, Xiting Zhao, et al.. (2023). Construction of SNP fingerprint and population genetic analysis of honeysuckle germplasm resources in China. Frontiers in Plant Science. 14. 1080691–1080691. 9 indexed citations
4.
5.
Li, Lifei, et al.. (2020). circRNA‐14723 promotes hepatocytes proliferation in rat liver regeneration by sponging rno‐miR‐16‐5p. Journal of Cellular Physiology. 235(11). 8176–8186. 6 indexed citations
6.
Chang, Cuifang, Yahao Wang, Lifei Li, et al.. (2019). Large-scale quantitative genomics analyzes the circRNA expression profile and identifies the key circRNA in regulating cell proliferation during the proliferation phase of rat LR. Artificial Cells Nanomedicine and Biotechnology. 47(1). 2957–2966. 8 indexed citations
7.
Hu, Qiaomu, Cuifang Chang, Haifeng Tian, et al.. (2019). Genome-wide RAD sequencing to identify a sex-specific marker in Chinese giant salamander Andrias davidianus. BMC Genomics. 20(1). 415–415. 23 indexed citations
8.
Chang, Cuifang, et al.. (2017). The novel protein C3orf43 accelerates hepatocyte proliferation. Cellular & Molecular Biology Letters. 22(1). 21–21. 8 indexed citations
9.
Zhao, Weiming, et al.. (2016). Expression Profile and Function Analysis of LncRNAs during Priming Phase of Rat Liver Regeneration. PLoS ONE. 11(6). e0156128–e0156128. 7 indexed citations
10.
Chang, Cuifang, et al.. (2016). Overexpression of transcription factor Foxa2 and Hnf1α induced rat bone mesenchymal stem cells into hepatocytes. Cytotechnology. 68(5). 2037–2047. 12 indexed citations
11.
Zhao, Weiming, et al.. (2016). Branches of the NF-κB signaling pathway regulate proliferation of oval cells in rat liver regeneration. Genetics and Molecular Research. 15(1). 6 indexed citations
12.
Wang, Gaiping, Shasha Chen, Xiaofang Li, et al.. (2016). A preliminary in vivo study of the effects of OPN on rat liver regeneration induced by partial hepatectomy. Molecular Biology Reports. 43(12). 1371–1382. 13 indexed citations
13.
Wang, Gaiping, Xiaofang Li, Shasha Chen, et al.. (2015). Expression profiles uncover the correlation of OPN signaling pathways with rat liver regeneration at cellular level. Cell Biology International. 39(11). 1329–1340. 7 indexed citations
14.
Chang, Cuifang, et al.. (2015). Integrative proteomic and microRNA analysis of the priming phase during rat liver regeneration. Gene. 575(2). 224–232. 24 indexed citations
15.
Xu, Cunshuan, Weiming Zhao, Yunpeng Hao, Cuifang Chang, & Jinyu Fan. (2013). Comparative analysis of gene expression profiles of acute hepatic failure and that of liver regeneration in rat. Gene. 528(2). 59–66. 5 indexed citations
16.
Xu, Cunshuan, et al.. (2011). Correlation Analysis Between Gene Expression Profile of Rat Liver Tissues and High-Fat Emulsion-Induced Nonalcoholic Fatty Liver. Digestive Diseases and Sciences. 56(8). 2299–2308. 34 indexed citations
17.
Jiang, Yun, et al.. (2011). The number of the genes in a functional category matters during rat liver regeneration after partial hepatectomy. Journal of Cellular Biochemistry. 112(11). 3194–3205. 8 indexed citations
18.
Xu, Cunshuan, Xiaoguang Chen, Cuifang Chang, et al.. (2011). Genome‐wide analysis of gene expression in dendritic cells from rat regenerating liver after partial hepatectomy. Cell Biochemistry and Function. 29(3). 255–264. 2 indexed citations
19.
Chang, Cuifang, et al.. (2011). Differential gene expression and functional analysis of pit cells from regenerating rat liver. Genetics and Molecular Research. 10(2). 678–692. 3 indexed citations
20.
Chang, Cuifang, et al.. (2010). Transcriptome atlas of eight liver cell types uncovers effects of histidine catabolites on rat liver regeneration. Journal of Genetics. 89(4). 425–436. 4 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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