Runjun Yang

1.3k total citations
77 papers, 1.0k citations indexed

About

Runjun Yang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Runjun Yang has authored 77 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 25 papers in Genetics and 22 papers in Cancer Research. Recurrent topics in Runjun Yang's work include Cancer-related molecular mechanisms research (16 papers), Genetic and phenotypic traits in livestock (14 papers) and MicroRNA in disease regulation (11 papers). Runjun Yang is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), Genetic and phenotypic traits in livestock (14 papers) and MicroRNA in disease regulation (11 papers). Runjun Yang collaborates with scholars based in China, United States and Germany. Runjun Yang's co-authors include Zhihui Zhao, Xibi Fang, Ping Jiang, Boxing Sun, Xianzhong Yu, Junya Li, Lixin Xia, Yuwei Yang, Liying Zhang and Ke Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Runjun Yang

75 papers receiving 985 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runjun Yang China 20 523 409 260 108 96 77 1.0k
Hongbao Wang China 20 478 0.9× 293 0.7× 328 1.3× 53 0.5× 142 1.5× 61 944
Yujia Sun China 17 838 1.6× 405 1.0× 269 1.0× 139 1.3× 46 0.5× 53 1.1k
Josephine F. Trott United States 23 843 1.6× 342 0.8× 600 2.3× 93 0.9× 69 0.7× 58 1.7k
Xu Shen China 19 387 0.7× 186 0.5× 332 1.3× 114 1.1× 241 2.5× 76 939
Yunliang Jiang China 20 459 0.9× 309 0.8× 523 2.0× 46 0.4× 232 2.4× 75 1.1k
Fenge Li China 19 569 1.1× 305 0.7× 349 1.3× 82 0.8× 78 0.8× 67 1.2k
Yongjie Wan China 20 641 1.2× 152 0.4× 364 1.4× 60 0.6× 46 0.5× 66 1.1k
Yaqiu Lin China 15 351 0.7× 186 0.5× 143 0.6× 53 0.5× 52 0.5× 93 751
Qingzhang Li China 24 954 1.8× 527 1.3× 403 1.6× 50 0.5× 73 0.8× 59 1.5k

Countries citing papers authored by Runjun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Runjun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runjun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Runjun Yang. A scholar is included among the top collaborators of Runjun 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 Runjun Yang. Runjun 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.
Duan, Meiyu, Runjun Yang, Yina Wang, et al.. (2025). O-methylation modifications in the biosynthetic pathway of dibenzocyclooctadiene lignans. Plant Physiology and Biochemistry. 223. 109863–109863. 1 indexed citations
2.
Yang, Runjun, Han Tang, Ying Xie, et al.. (2025). [18F]FDG PET/CT for predicting neoadjuvant PD-L1 blockade monotherapy treatment response in patients with locally advanced esophageal squamous cell carcinoma: a preliminary study. European Journal of Nuclear Medicine and Molecular Imaging. 52(4). 1422–1435. 1 indexed citations
3.
Liu, Xiangjuan, et al.. (2024). Corn Yield Prediction Based on Dynamic Integrated Stacked Regression. Agriculture. 14(10). 1829–1829. 1 indexed citations
4.
5.
Qiu, Yan, Shuxian Li, Xiangrong Luo, et al.. (2024). l-thyroxine attenuates extracellular Hsp90α-induced vascular endothelial calcification in diabetes mellitus, as revealed by parallel metabolic profiles. Atherosclerosis. 392. 117527–117527. 2 indexed citations
6.
Lu, Xin, Xibi Fang, Jiaqi Mi, et al.. (2023). Effects of Adipose Tissue-Specific Knockout of Delta-like Non-Canonical Notch Ligand 1 on Lipid Metabolism in Mice. International Journal of Molecular Sciences. 25(1). 132–132. 1 indexed citations
7.
Li, Peizhi, Xibi Fang, Guijie Hao, et al.. (2023). Methionine Promotes Milk Protein Synthesis via the PI3K-mTOR Signaling Pathway in Human Mammary Epithelial Cells. Metabolites. 13(11). 1149–1149. 1 indexed citations
8.
He, Wei, Xibi Fang, Xin Lu, et al.. (2022). Function Identification of Bovine ACSF3 Gene and Its Association With Lipid Metabolism Traits in Beef Cattle. Frontiers in Veterinary Science. 8. 766765–766765. 8 indexed citations
9.
10.
Fang, Xibi, Lixin Xia, Wei He, et al.. (2021). Comparative Genome-Wide Alternative Splicing Analysis of Longissimus Dorsi Muscles Between Japanese Black (Wagyu) and Chinese Red Steppes Cattle. Frontiers in Veterinary Science. 8. 634577–634577. 10 indexed citations
11.
Xia, Lixin, Zhihui Zhao, Runjun Yang, et al.. (2020). miR-2382-5p Regulates Lipid Metabolism by Targeting NDRG2 in Mammary Epithelial Cells of Dairy Cattle. DNA and Cell Biology. 39(12). 2125–2133. 1 indexed citations
12.
Liu, Yinuo, Elke Albrecht, Dirk Dannenberger, et al.. (2019). Retinol binding protein 4 abundance in plasma and tissues is related to body fat deposition in cattle. Scientific Reports. 9(1). 8056–8056. 9 indexed citations
13.
Li, Xiaohui, Ping Jiang, Yuwei Yang, et al.. (2019). miR-21-3p Targets Elovl5 and Regulates Triglyceride Production in Mammary Epithelial Cells of Cow. DNA and Cell Biology. 38(4). 352–357. 18 indexed citations
14.
Liu, Yinuo, Xibi Fang, Zhihui Zhao, et al.. (2019). Polymorphisms of the <i>ASIP</i> gene and the haplotype are associated with fat deposition traits and fatty acid composition in Chinese Simmental steers. Archives animal breeding/Archiv für Tierzucht. 62(1). 135–142. 4 indexed citations
15.
Guo, Jia, Mengjiao Zhou, Xin Liu, et al.. (2018). Porcine IFI30 inhibits PRRSV proliferation and host cell apoptosis in vitro. Gene. 649. 93–98. 9 indexed citations
16.
Fang, Xibi, Zhihui Zhao, Guangpeng Li, et al.. (2017). Comparative genome-wide methylation analysis of longissimus dorsi muscles between Japanese black (Wagyu) and Chinese Red Steppes cattle. PLoS ONE. 12(8). e0182492–e0182492. 33 indexed citations
17.
Xiao, Hong‐Bo, Zhihui Zhao, Xibi Fang, et al.. (2016). Association of the ACSL5 gene g.33185918G > A and g.33186348C > T mutations with carcass and meat quality traits of Chinese Simmental-cross steers.. The Journal of Animal and Plant Sciences. 26(3). 658–664. 1 indexed citations
18.
Yang, Yuwei, Boxing Sun, Runjun Yang, et al.. (2016). miR-29b Targets LPL and TDG Genes and Regulates Apoptosis and Triglyceride Production in MECs. DNA and Cell Biology. 35(12). 758–765. 16 indexed citations
19.
Yang, Runjun, et al.. (2014). Rice root system spatial distribution characteristics at flowering stage and grain yield under plastic mulching drip irrigation (PMDI).. The Journal of Animal and Plant Sciences. 24(1). 290–301. 13 indexed citations
20.
Gao, Feng, et al.. (2014). The effect of leader peptide mutations on the biological function of bovine myostatin gene. Gene. 540(2). 171–177. 3 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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