Boxing Sun

744 total citations
44 papers, 560 citations indexed

About

Boxing Sun is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Boxing Sun has authored 44 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Boxing Sun's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Reproductive Biology and Fertility (6 papers). Boxing Sun is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Reproductive Biology and Fertility (6 papers). Boxing Sun collaborates with scholars based in China, United States and South Korea. Boxing Sun's co-authors include Zhihui Zhao, Runjun Yang, Jiajia Qi, Shuang Liang, Yonghong Zhang, Yuwei Yang, Xibi Fang, Jiabao Zhang, Shaoxuan Zhang and Liying Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Boxing Sun

42 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Boxing Sun China	15	293	208	118	74	62	44	560
Junping He China	14	223 0.8×	113 0.5×	62 0.5×	72 1.0×	66 1.1×	36	550
Zheng Xu China	13	267 0.9×	111 0.5×	143 1.2×	73 1.0×	34 0.5×	33	548
Jiuqiang Guan China	13	328 1.1×	304 1.5×	137 1.2×	66 0.9×	38 0.6×	27	606
Zongjun Yin China	14	279 1.0×	277 1.3×	289 2.4×	92 1.2×	48 0.8×	81	683
Maoliang Ran China	12	247 0.8×	256 1.2×	145 1.2×	53 0.7×	56 0.9×	35	472
Caifang Ren China	16	397 1.4×	267 1.3×	218 1.8×	35 0.5×	94 1.5×	37	716
Zifei Liu China	16	339 1.2×	123 0.6×	96 0.8×	28 0.4×	128 2.1×	38	589
Xihui Sheng China	17	344 1.2×	192 0.9×	157 1.3×	176 2.4×	87 1.4×	64	821
Wentao Cai China	15	251 0.9×	195 0.9×	340 2.9×	85 1.1×	39 0.6×	59	659
Ibrar Muhammad Khan China	14	154 0.5×	51 0.2×	121 1.0×	74 1.0×	85 1.4×	38	557

Countries citing papers authored by Boxing Sun

Since Specialization

Citations

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

Fields of papers citing papers by Boxing Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boxing Sun

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

All Works

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20 of 20 papers shown

Li, Shangze, Dao Xiang, Tai Wang, et al.. (2025). Effects of chlorogenic acid on gut microbiota composition and ovarian function in mice with D-galactose-induced premature ovarian failure. SHILAP Revista de lepidopterología. 2(1). 0–0.

Shang, Lijun, et al.. (2025). Antimicrobial Peptides in Focus: Functional Potential and Translational Evidence from Swine Systems. ACS Omega. 10(42). 49364–49377. 1 indexed citations

Qi, Jiajia, Yanqiu Wang, Chao Yan, et al.. (2025). Fisetin alleviates oxidative stress and promotes porcine early embryonic development via activation of the NRF2-ARE signalling pathway. Animal Bioscience. 38(6). 1160–1174. 2 indexed citations

Qi, Jiajia, Shaoxuan Zhang, Yanqiu Wang, et al.. (2024). Lysine-specific demethylase 1 (LSD1) participate in porcine early embryonic development by regulating cell autophagy and apoptosis through the mTOR signaling pathway. Theriogenology. 224. 119–133. 3 indexed citations

Yang, Tingting, Jiajia Qi, Boxing Sun, et al.. (2023). Maslinic Acid Supplementation during the In Vitro Culture Period Ameliorates Early Embryonic Development of Porcine Embryos by Regulating Oxidative Stress. Animals. 13(6). 1041–1041. 2 indexed citations

Wang, Dali, Jiajia Qi, Yuwei Yang, et al.. (2023). Chlorogenic acid ameliorates the heat stress-induced impairment of porcine Sertoli cells by suppressing oxidative stress and apoptosis. Theriogenology. 214. 148–156. 9 indexed citations

Guo, Jia, Xin Liu, Yuwei Yang, et al.. (2018). miR-375 down-regulation of the rearranged L-myc fusion and hypoxia-induced gene domain protein 1A genes and effects on Sertoli cell proliferation. Asian-Australasian Journal of Animal Sciences. 31(8). 1103–1109. 14 indexed citations

Zhang, Shaoxuan, Jia Guo, Mengdi Liang, et al.. (2018). miR-196a Promotes Proliferation and Inhibits Apoptosis of Immature Porcine Sertoli Cells. DNA and Cell Biology. 38(1). 41–48. 26 indexed citations

Guo, Jia, Chun Yang, Shaoxuan Zhang, et al.. (2018). MiR-375 induces ROS and apoptosis in ST cells by targeting the HIGD1A gene. Gene. 685. 136–142. 13 indexed citations

10.

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

11.

Yang, Yuwei, Xibi Fang, Runjun Yang, et al.. (2018). MiR-152 Regulates Apoptosis and Triglyceride Production in MECs via Targeting ACAA2 and HSD17B12 Genes. Scientific Reports. 8(1). 417–417. 36 indexed citations

12.

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

13.

Zhou, Mengjiao, Xiaojun Zhang, Yunzhi Pan, et al.. (2016). miRNA29 Promotes Viral Replication During Early Stage of PRRSV Infection In Vitro. DNA and Cell Biology. 35(10). 636–642. 16 indexed citations

14.

Gao, Yan, Xianzhong Yu, Yanbing Li, et al.. (2016). Changes in methylation of genomic DNA from chicken immune organs in response to H5N1 influenza virus infection. Genetics and Molecular Research. 15(3). 12 indexed citations

15.

Zhang, Xiaojun, et al.. (2015). Differential Expression of miR-499 and Validation of Predicted Target Genes in the Testicular Tissue of Swine at Different Developmental Stages. DNA and Cell Biology. 34(7). 464–469. 8 indexed citations

16.

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

17.

Zhang, Jinyu, Yinuo Liu, Guo Jiang, et al.. (2014). MicroRNAs in the immune organs of chickens and ducks indicate divergence of immunity against H5N1 avian influenza. FEBS Letters. 589(4). 419–425. 30 indexed citations

18.

Dai, Li, et al.. (2013). Association of T1740C polymorphism of L-FABP with meat quality traits in Junmu No. 1 white swine. Genetics and Molecular Research. 12(1). 235–241. 7 indexed citations

19.

Gao, Yan, Shumin Zhang, Fujuan Li, et al.. (2011). Association of A-FABP gene polymorphism in intron 1 with meat quality traits in Junmu No. 1 white swine. Gene. 487(2). 170–173. 23 indexed citations

20.

Yang, Chun, Mingjun Zhang, Runjun Yang, et al.. (2011). Analysis of DNA Methylation in Various Swine Tissues. PLoS ONE. 6(1). e16229–e16229. 46 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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