Yiren Gu

2.3k total citations
40 papers, 791 citations indexed

About

Yiren Gu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yiren Gu has authored 40 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Cancer Research and 18 papers in Genetics. Recurrent topics in Yiren Gu's work include Cancer-related molecular mechanisms research (18 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and MicroRNA in disease regulation (12 papers). Yiren Gu is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and MicroRNA in disease regulation (12 papers). Yiren Gu collaborates with scholars based in China, United States and Estonia. Yiren Gu's co-authors include Mingzhou Li, Xuewei Li, Xuebin Lv, Xiaolian Gao, Qiulei Lang, Xiaohong Chen, Yan Liang, Qi Zhou, Zhijun Zhong and Tao Wang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Yiren Gu

39 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiren Gu China 11 514 443 158 66 65 40 791
Keren Long China 16 718 1.4× 468 1.1× 198 1.3× 40 0.6× 62 1.0× 66 1.0k
Shunshun Han China 20 567 1.1× 327 0.7× 91 0.6× 43 0.7× 100 1.5× 50 858
Binyun Cao China 19 393 0.8× 277 0.6× 414 2.6× 35 0.5× 48 0.7× 58 871
Jiuqiang Guan China 13 328 0.6× 304 0.7× 137 0.9× 17 0.3× 47 0.7× 27 606
Zongjun Yin China 14 279 0.5× 277 0.6× 289 1.8× 16 0.2× 68 1.0× 81 683
Qiulei Lang China 9 459 0.9× 354 0.8× 46 0.3× 59 0.9× 183 2.8× 13 799
Yongjie Wan China 20 641 1.2× 152 0.3× 364 2.3× 41 0.6× 60 0.9× 66 1.1k
Xinzheng Jia China 16 484 0.9× 295 0.7× 223 1.4× 19 0.3× 59 0.9× 29 767
Youji Ma China 13 248 0.5× 214 0.5× 326 2.1× 23 0.3× 63 1.0× 47 589
Ruihua Dang China 19 456 0.9× 416 0.9× 738 4.7× 25 0.4× 51 0.8× 107 1.2k

Countries citing papers authored by Yiren Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yiren Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiren Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiren Gu. A scholar is included among the top collaborators of Yiren Gu 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 Yiren Gu. Yiren Gu 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.
Bai, Xue, Yiren Gu, Xun Wang, et al.. (2025). Insights into high-altitude adaptation and meat quality regulation by gastrointestinal metabolites in Tibetan and black pigs. Frontiers in Veterinary Science. 12. 1569196–1569196. 1 indexed citations
2.
Bai, Xue, Yiren Gu, Diyan Li, & Mingzhou Li. (2025). Gut Metagenome Reveals the Microbiome Signatures in Tibetan and Black Pigs. Animals. 15(5). 753–753. 1 indexed citations
3.
Xue, Bai, Hang Zhong, Xiang Cui, et al.. (2024). Metagenomic profiling uncovers microbiota and antibiotic resistance patterns across human, chicken, pig fecal, and soil environments. The Science of The Total Environment. 947. 174734–174734. 10 indexed citations
4.
Hou, Wen‐Li, Jianlin Chen, Yiren Gu, et al.. (2023). Expression Improvement of Recombinant Plasmids of the Interleukin-7 Gene in Chitosan-Derived Nanoparticles and Their Elevation of Mice Immunity. Biology. 12(5). 667–667. 3 indexed citations
5.
Jin, Long, Tiantian Wei, Jiaman Zhang, et al.. (2023). A cell transcriptomic profile provides insights into adipocytes of porcine mammary gland across development. Journal of Animal Science and Biotechnology. 14(1). 126–126. 7 indexed citations
6.
Wang, Zhiming, Jin Chai, Yuhao Wang, et al.. (2023). LncPLAAT3-AS Regulates PLAAT3-Mediated Adipocyte Differentiation and Lipogenesis in Pigs through miR-503-5p. Genes. 14(1). 161–161. 6 indexed citations
7.
Shen, Qi, Kai Wang, Shujie Wang, et al.. (2023). Identifying key DNA methylation sites and their cis-methylation quantitative loci for intramuscular fatty acid traits using genome and methylome data in Yorkshire pigs. Italian Journal of Animal Science. 22(1). 829–840. 1 indexed citations
8.
Lin, Yu, Jing Li, Jiaman Zhang, et al.. (2022). Allele-specific regulatory effects on the pig transcriptome. GigaScience. 12. 4 indexed citations
9.
Wang, Kai, Pingxian Wu, Shujie Wang, et al.. (2021). Differential DNA methylation analysis reveals key genes in Chinese Qingyu and Landrace pigs. Genome. 65(1). 19–26. 2 indexed citations
10.
Gu, Yiren, Rui Zhou, Long Jin, et al.. (2019). Temporal expression profiling of long noncoding RNA and mRNA in the peripheral blood during porcine development. Asian-Australasian Journal of Animal Sciences. 33(5). 836–847. 1 indexed citations
11.
He, Mengnan, Yán Li, Qianzi Tang, et al.. (2018). Genome-Wide Chromatin Structure Changes During Adipogenesis and Myogenesis. International Journal of Biological Sciences. 14(11). 1571–1585. 21 indexed citations
12.
Tao, Xuan, Yan Liang, Xuemei Yang, et al.. (2017). Transcriptomic profiling in muscle and adipose tissue identifies genes related to growth and lipid deposition. PLoS ONE. 12(9). e0184120–e0184120. 28 indexed citations
13.
Luo, Yi, Pengjun Wang, Xun Wang, et al.. (2017). Detection of dietetically absorbed maize-derived microRNAs in pigs. Scientific Reports. 7(1). 645–645. 80 indexed citations
14.
Liang, Yan, Xuemei Yang, Yiren Gu, et al.. (2015). Developmental changes in the expression of the GLUT2 and GLUT4 genes in the longissimus dorsi muscle of Yorkshire and Tibetan pigs. Genetics and Molecular Research. 14(1). 1287–1292. 8 indexed citations
15.
16.
Gu, Yiren, et al.. (2012). Short Communication Suitable internal control microRNA genes for measuring miRNA abundance in pig milk during different lactation periods. Genetics and Molecular Research. 11(3). 2506–2512. 8 indexed citations
17.
Gu, Yiren, Mingzhou Li, Tao Wang, et al.. (2012). Lactation-Related MicroRNA Expression Profiles of Porcine Breast Milk Exosomes. PLoS ONE. 7(8). e43691–e43691. 220 indexed citations
18.
Gu, Yiren, Mingzhou Li, Kai Zhang, et al.. (2011). Identification of suitable endogenous control microRNA genes in normal pig tissues. Animal Science Journal. 82(6). 722–728. 25 indexed citations
19.
Gu, Yiren, Kai Zhang, Mingzhou Li, et al.. (2009). Developmental expression changes of insulin-like growth factors (IGFs) system genes in <I>longissimus dorsi</I> muscle of two pig breeds. Hereditas (Beijing). 31(8). 837–843. 7 indexed citations
20.
Zhu, Li, Mingzhou Li, Xuewei Li, et al.. (2009). Distinct Expression Patterns of Genes Associated with Muscle Growth and Adipose Deposition in Tibetan Pigs: A Possible Adaptive Mechanism for High Altitude Conditions. High Altitude Medicine & Biology. 10(1). 45–55. 16 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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