Xiaopeng An

2.0k total citations
93 papers, 1.5k citations indexed

About

Xiaopeng An is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Xiaopeng An has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 38 papers in Genetics and 38 papers in Cancer Research. Recurrent topics in Xiaopeng An's work include MicroRNA in disease regulation (25 papers), Cancer-related molecular mechanisms research (24 papers) and Genetic and phenotypic traits in livestock (19 papers). Xiaopeng An is often cited by papers focused on MicroRNA in disease regulation (25 papers), Cancer-related molecular mechanisms research (24 papers) and Genetic and phenotypic traits in livestock (19 papers). Xiaopeng An collaborates with scholars based in China, United States and India. Xiaopeng An's co-authors include Yuxuan Song, Binyun Cao, Jinxing Hou, Binyun Cao, Lei Zhang, Xiaorui Liu, Yuexia Liu, Yuhan Liu, Peng Han and Kexin Gao and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Xiaopeng An

90 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaopeng An China 22 648 618 587 262 221 93 1.5k
Liguo Yang China 25 612 0.9× 509 0.8× 273 0.5× 359 1.4× 165 0.7× 106 1.7k
Zengxiang Pan China 22 958 1.5× 412 0.7× 793 1.4× 153 0.6× 194 0.9× 75 1.6k
Jifeng Zhong China 23 689 1.1× 566 0.9× 489 0.8× 445 1.7× 216 1.0× 101 1.6k
Minggang Lei China 21 851 1.3× 499 0.8× 444 0.8× 88 0.3× 185 0.8× 94 1.5k
Mei Yu China 24 793 1.2× 729 1.2× 388 0.7× 128 0.5× 205 0.9× 120 1.9k
Scott L. Pratt United States 23 633 1.0× 434 0.7× 168 0.3× 255 1.0× 74 0.3× 64 1.4k
Mehmet Ulaş Çınar Türkiye 22 493 0.8× 480 0.8× 184 0.3× 157 0.6× 183 0.8× 96 1.3k
Jideng Ma China 25 1.2k 1.8× 436 0.7× 943 1.6× 62 0.2× 253 1.1× 97 2.1k
C. Phatsara Germany 21 510 0.8× 518 0.8× 320 0.5× 167 0.6× 142 0.6× 49 1.3k
Qiuling Li China 19 408 0.6× 316 0.5× 322 0.5× 218 0.8× 119 0.5× 58 1.0k

Countries citing papers authored by Xiaopeng An

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng An

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng An. A scholar is included among the top collaborators of Xiaopeng An 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 Xiaopeng An. Xiaopeng An 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.
Fu, Li, Haifeng Wang, Danni Li, et al.. (2025). Tea polyphenols attenuate glufosinate-induced breast injury by reducing endoplasmic reticulum stress and autophagy. Journal of Hazardous Materials. 495. 138823–138823. 1 indexed citations
2.
Yang, He, et al.. (2025). Transfer toxicity of polystyrene microplastics in vivo: Multi-organ crosstalk. Environment International. 202. 109604–109604. 3 indexed citations
3.
4.
Liu, Jiaxin, Xiaofei Wang, Xiaorui Liu, et al.. (2024). Multi-omics analysis of kidney tissue metabolome and proteome reveals the protective effect of sheep milk against adenine-induced chronic kidney disease in mice. Food & Function. 15(13). 7046–7062. 3 indexed citations
5.
Liu, Shujuan, et al.. (2023). Toxic effects of zinc oxide nanoparticles as a food additive in goat mammary epithelial cells. Food Research International. 167. 112682–112682. 7 indexed citations
6.
Wu, Wenda, et al.. (2023). Characteristics of the alkali-silica reaction in seawater and sea sand concrete with different water-cement ratios. Construction and Building Materials. 400. 132822–132822. 12 indexed citations
7.
Liu, Shujuan, et al.. (2023). Endoplasmic reticulum stress exacerbates microplastics-induced toxicity in animal cells. Food Research International. 175. 113818–113818. 17 indexed citations
8.
Ma, Li, Fangjun Cao, Peng Han, et al.. (2022). Effect of MiR‐100‐5p on proliferation and apoptosis of goat endometrial stromal cell in vitro and embryo implantation in vivo. Journal of Cellular and Molecular Medicine. 26(9). 2543–2556. 15 indexed citations
9.
Song, Yuxuan, Lei Zhang, Xiaorui Liu, et al.. (2019). Analyses of circRNA profiling during the development from pre-receptive to receptive phases in the goat endometrium. Journal of Animal Science and Biotechnology. 10(1). 34–34. 33 indexed citations
10.
An, Xiaopeng, et al.. (2018). Genome-wide differences in DNA methylation changes in caprine ovaries between oestrous and dioestrous phases. Journal of Animal Science and Biotechnology. 9(1). 85–85. 14 indexed citations
11.
Hou, Jinxing, Xiaopeng An, Yuxuan Song, et al.. (2017). Detection and comparison of microRNAs in the caprine mammary gland tissues of colostrum and common milk stages. BMC Genetics. 18(1). 38–38. 37 indexed citations
12.
An, Xiaopeng, Xiaorui Liu, Lei Zhang, et al.. (2017). MiR-449a regulates caprine endometrial stromal cell apoptosis and endometrial receptivity. Scientific Reports. 7(1). 12248–12248. 18 indexed citations
13.
An, Xiaopeng, Yuxuan Song, Kexin Gao, et al.. (2016). Association of polymorphisms at the microRNA binding site of the caprine KITLG 3′-UTR with litter size. Scientific Reports. 6(1). 25691–25691. 12 indexed citations
14.
An, Xiaopeng, Yuxuan Song, Jinxing Hou, et al.. (2015). Identification and profiling of microRNAs in the ovaries of polytocous and monotocous goats during estrus. Theriogenology. 85(4). 769–780. 19 indexed citations
15.
Zhang, Lei, et al.. (2015). Characterization of the Transcriptional Complexity of the Receptive and Pre-receptive Endometria of Dairy Goats. Scientific Reports. 5(1). 14244–14244. 33 indexed citations
16.
Han, Peng, et al.. (2015). Expression and regulative function of tissue inhibitor of metalloproteinase 3 in the goat ovary and its role in cultured granulosa cells. Molecular and Cellular Endocrinology. 412. 104–115. 31 indexed citations
17.
An, Xiaopeng, et al.. (2014). Association analysis between variants in KITLG gene and litter size in goats. Gene. 558(1). 126–130. 18 indexed citations
18.
Hou, Jinxing, et al.. (2014). Polymorphisms of PRLR and FOLR1 genes and association with milk production traits in goats. Genetics and Molecular Research. 13(2). 2555–2562. 13 indexed citations
19.
An, Xiaopeng, et al.. (2011). Polymorphism identification in the goat KITLG gene and association analysis with litter size. Animal Genetics. 43(1). 104–107. 29 indexed citations
20.
Li, Guang, Xiaopeng An, Jinxing Hou, et al.. (2010). Study on polymerization effect of polyembryony genes by SSCP marker and family trees in Chinese goats. Molecular Biology Reports. 38(2). 739–744. 9 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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