Jine Yang

2.4k total citations
40 papers, 2.0k citations indexed

About

Jine Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jine Yang has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 18 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Jine Yang's work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and RNA modifications and cancer (10 papers). Jine Yang is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and RNA modifications and cancer (10 papers). Jine Yang collaborates with scholars based in China, United States and France. Jine Yang's co-authors include Shi‐Mei Zhuang, Jian‐Hong Fang, Jing‐Ping Yun, Yujuan Xiong, Ying Zhang, Chunxian Zeng, Yunfei Yuan, Jing‐Ping Zhang, Xin‐Yuan Guan and Xiuzhi Huang and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Hepatology.

In The Last Decade

Jine Yang

40 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jine Yang China 23 1.4k 1.2k 253 172 170 40 2.0k
Yufeng Wang China 28 2.0k 1.4× 1.7k 1.4× 337 1.3× 183 1.1× 167 1.0× 42 2.5k
Elisa Callegari Italy 22 2.4k 1.7× 2.1k 1.7× 223 0.9× 208 1.2× 218 1.3× 39 3.1k
Pu Li China 24 1.3k 0.9× 997 0.8× 330 1.3× 89 0.5× 173 1.0× 52 1.7k
Haibo Yu China 22 867 0.6× 579 0.5× 258 1.0× 220 1.3× 215 1.3× 83 1.6k
Sen Lu China 26 870 0.6× 654 0.5× 149 0.6× 130 0.8× 133 0.8× 62 1.6k
Keitaro Hagiwara Japan 20 1.8k 1.3× 1.3k 1.1× 277 1.1× 85 0.5× 235 1.4× 26 2.4k
Nasha Zhang China 24 1.4k 1.0× 1.1k 0.9× 183 0.7× 142 0.8× 104 0.6× 68 1.9k
Junwei Tang China 30 2.0k 1.4× 1.6k 1.4× 328 1.3× 259 1.5× 224 1.3× 82 2.9k
Mingzuo Jiang China 21 1.1k 0.8× 569 0.5× 155 0.6× 292 1.7× 263 1.5× 43 1.5k
Guoshan Ding China 17 903 0.6× 777 0.6× 181 0.7× 244 1.4× 268 1.6× 54 1.6k

Countries citing papers authored by Jine Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jine Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jine Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jine Yang. A scholar is included among the top collaborators of Jine Yang 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 Jine Yang. Jine Yang 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.
Li, Lian, Yuqi Wu, & Jine Yang. (2025). Stress-Related LncRNAs and Their Roles in Diabetes and Diabetic Complications. International Journal of Molecular Sciences. 26(5). 2194–2194. 1 indexed citations
2.
Chen, Zhan‐Li, Chen Xie, Ruiqi Huang, et al.. (2024). Synergistic induction of mitotic pyroptosis and tumor remission by inhibiting proteasome and WEE family kinases. Signal Transduction and Targeted Therapy. 9(1). 181–181. 7 indexed citations
3.
Yang, Jine, et al.. (2023). Multidimensional regulatory networks of noncoding RNAs and hepatocellular carcinoma. Scientia Sinica Vitae. 1 indexed citations
4.
Xie, Chen, et al.. (2020). Functional long non-coding RNAs in hepatocellular carcinoma. Cancer Letters. 500. 281–291. 38 indexed citations
6.
You, Kai, Jiao Gong, Jian‐Hong Fang, et al.. (2018). MicroRNA-125b Promotes Hepatic Stellate Cell Activation and Liver Fibrosis by Activating RhoA Signaling. Molecular Therapy — Nucleic Acids. 12. 57–66. 45 indexed citations
7.
Zhao, Na, Siwen Li, Ruizhi Wang, et al.. (2016). Expression of microRNA-195 is transactivated by Sp1 but inhibited by histone deacetylase 3 in hepatocellular carcinoma cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(7). 933–942. 31 indexed citations
8.
Yang, Jine, Lu Yang, Yingying Lin, et al.. (2016). Vascular mimicry formation is promoted by paracrine TGF-β and SDF1 of cancer-associated fibroblasts and inhibited by miR-101 in hepatocellular carcinoma. Cancer Letters. 383(1). 18–27. 112 indexed citations
9.
Lin, Xue-Jia, Xiaojing Yang, Liang‐Ji Zhou, et al.. (2014). A novel AP-1/miR-101 regulatory feedback loop and its implication in the migration and invasion of hepatoma cells. Nucleic Acids Research. 42(19). 12041–12051. 40 indexed citations
10.
Wang, Ruizhi, Na Zhao, Siwen Li, et al.. (2013). Microrna-195 Suppresses Angiogenesis and Metastasis of Hepatocellular Carcinoma By Inhibiting the Expression of VEGF, VAV2, and CDC42. Hepatology. 58(2). 642–653. 186 indexed citations
11.
Xu, Jiqu, Hui Gao, Wei Yang, et al.. (2013). Flaxseed oil and alpha-lipoic acid combination ameliorates hepatic oxidative stress and lipid accumulation in comparison to lard. Lipids in Health and Disease. 12(1). 58–58. 23 indexed citations
12.
Xu, Jiqu, Xiaoqi Zhou, Chen Chang, et al.. (2012). Laxative effects of partially defatted flaxseed meal on normal and experimental constipated mice. BMC Complementary and Alternative Medicine. 12(1). 14–14. 46 indexed citations
13.
Fang, Jian‐Hong, Chunxian Zeng, Jine Yang, et al.. (2011). MicroRNA-29b suppresses tumor angiogenesis, invasion, and metastasis by regulating matrix metalloproteinase 2 expression. Hepatology. 54(5). 1729–1740. 255 indexed citations
14.
Luo, Jixian, et al.. (2010). Identification of Siah-interacting protein as a potential regulator of apoptosis and curcumin resistance. Oncogene. 29(48). 6357–6366. 5 indexed citations
15.
Xiong, Yujuan, Jian‐Hong Fang, Jing‐Ping Yun, et al.. (2009). Effects of Microrna-29 on Apoptosis, Tumorigenicity, and Prognosis of Hepatocellular Carcinoma. Hepatology. 51(3). 836–845. 499 indexed citations
16.
Yang, Jine, et al.. (2008). Interaction with Ppil3 leads to the cytoplasmic localization of Apoptin in tumor cells. Biochemical and Biophysical Research Communications. 372(1). 14–18. 15 indexed citations
17.
Wang, Xiao-Xiao, Xiaochao Chen, Jianhua Chang, et al.. (2007). BCRP gene polymorphisms are associated with susceptibility and survival of diffuse large B-cell lymphoma. Carcinogenesis. 28(8). 1740–1744. 38 indexed citations
18.
Yang, Jine, Fan Zhou, Xu Teng, et al.. (2007). Analysis of sequence variations in 59 microRNAs in hepatocellular carcinomas. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 638(1-2). 205–209. 40 indexed citations
19.
Yang, Jine, Mei Yu, Bang Liu, Mengjin Zhu, & Kui Li. (2006). Porcine granulin gene (GRN): Molecular cloning, polymorphism and chromosomal localization. DNA sequence. 17(5). 350–354. 1 indexed citations
20.
Yang, Jine, et al.. (2005). Polymorphism detection of porcine PSMC3, PSMC6 and PSMD3 genes and their association with partial growth, carcass traits, meat quality and immune traits. Canadian Journal of Animal Science. 85(4). 475–480. 6 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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