Xiaoyun He

3.1k total citations
151 papers, 2.1k citations indexed

About

Xiaoyun He is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Xiaoyun He has authored 151 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cancer Research, 79 papers in Molecular Biology and 53 papers in Genetics. Recurrent topics in Xiaoyun He's work include Cancer-related molecular mechanisms research (63 papers), Genetic and phenotypic traits in livestock (46 papers) and MicroRNA in disease regulation (33 papers). Xiaoyun He is often cited by papers focused on Cancer-related molecular mechanisms research (63 papers), Genetic and phenotypic traits in livestock (46 papers) and MicroRNA in disease regulation (33 papers). Xiaoyun He collaborates with scholars based in China, United States and United Kingdom. Xiaoyun He's co-authors include Chunlin Ou, Mingxing Chu, Ran Di, Gaoyan Kuang, Yongrong Wu, Xiangyu Wang, Qiuyue Liu, Xiaosheng Zhang, Hui Nie and Lin Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Xiaoyun He

141 papers receiving 2.1k citations

Peers

Xiaoyun He

GENET

ACS

IMMUN

Yan Gao China

Jo K. Perry New Zealand

Ming‐Qing Gao China

Dennis W. Wolff United States

Anthony N. Corps United Kingdom

Frans Gerbens Netherlands

Maria Laura De Marchis Italy

Edmund B. Rucker United States

Noël Dybdal United States

Yan Gao China

Xiaoyun He

873 ×0.7

547 ×0.6

248 ×0.4

GENET

97 ×0.5

ACS

205 ×1.0

IMMUN

Citations per year, relative to Xiaoyun He Xiaoyun He (= 1×) peers Yan Gao

Countries citing papers authored by Xiaoyun He

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun He

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun He. A scholar is included among the top collaborators of Xiaoyun He 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 Xiaoyun He. Xiaoyun He 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

Liu, Kai, et al.. (2025). Association Analysis of SNPs in GRHL2 and RORA Genes with Lambing Number in Small-Tailed Han Sheep. Animals. 15(10). 1432–1432.

Zhang, Yue, Xiaoyun He, Ran Di, Xiangyu Wang, & Mingxing Chu. (2025). An Insight into Differentially Expressed Genes and MicroRNAs in the Pituitary Glands of the Two Estrous Phases of Sheep with Different FecB Genotypes. Animals. 15(3). 392–392.

Liu, Qingqing, Zhipeng Sun, Yufang Liu, et al.. (2025). Whole transcriptome analysis in oviduct provides insight into microRNAs and ceRNA regulative networks that targeted reproduction of goat (Capra hircus). BMC Genomics. 26(1). 250–250.

He, Xiaoyun, et al.. (2024). tRNA-derived small RNAs in human cancers: roles, mechanisms, and clinical application. Molecular Cancer. 23(1). 27 indexed citations

Wu, Siqi, Xiaoyun He, Guanlong Wang, Xiaoli Dong, & Xiufang Zhang. (2024). Unsaturated Fe centers of 2D MOFs mediated the efficient Fenton-like reaction for organic pollutant elimination. Process Safety and Environmental Protection. 192. 1382–1392. 3 indexed citations

Wang, Haibo, et al.. (2024). Advancing towards practice: A novel LC-MS/MS method for detecting retinol in dried blood spots. Talanta. 278. 126491–126491. 5 indexed citations

He, Xiaoyun, et al.. (2024). The SLC19A1-AS/miR-1343/WNT11 axis is a novel positive regulatory ceRNA network governing goat granulosa cell proliferation. International Journal of Biological Macromolecules. 264(Pt 2). 130658–130658. 5 indexed citations

Wang, Dawei, et al.. (2024). The Response of the miRNA Profiles of the Thyroid Gland to the Artificial Photoperiod in Ovariectomized and Estradiol-Treated Ewes. Animals. 15(1). 11–11.

He, Yu, Si Chen, Xiaofei Guo, et al.. (2024). Transcriptomic Analysis Reveals Differentially Expressed Circular RNAs Associated with Fecundity in the Sheep Hypothalamus with Different FecB Genotypes. Animals. 14(2). 198–198. 1 indexed citations

10.

Yu, Xiaoqian, Xuejie Yang, Hui Nie, et al.. (2023). Immunological role and prognostic value of somatostatin receptor family members in colon adenocarcinoma. Frontiers in Pharmacology. 14. 1255809–1255809. 1 indexed citations

11.

Chang, Cheng, Xiaoyun He, Ran Di, et al.. (2023). Transcriptome Analysis Reveals Differentially Expressed circRNAs Associated with Fecundity in Small-Tail Han Sheep Thyroid with Different FecB Genotypes. Animals. 14(1). 105–105.

12.

Wang, Xiangyu, Xiaofei Guo, Xiaoyun He, et al.. (2023). Proteomic Analysis Identifies Distinct Protein Patterns for High Ovulation in FecB Mutant Small Tail Han Sheep Granulosa Cells. Animals. 14(1). 11–11. 3 indexed citations

13.

Di, Ran, Xiaoyun He, Qiuyue Liu, et al.. (2023). Epigenetic Regulation of miR-25 and Lnc107153 on Expression of Seasonal Estrus Key Gene CHGA in Sheep. Biology. 12(2). 250–250. 4 indexed citations

14.

Gong, Yiming, Qiuju Chen, Xiaolong He, et al.. (2023). Association Analyses between Single Nucleotide Polymorphisms in ZFAT, FBN1, FAM184B Genes and Litter Size of Xinggao Mutton Sheep. Animals. 13(23). 3639–3639. 4 indexed citations

15.

Chang, Cheng, Xiaoyun He, Ran Di, et al.. (2023). Thyroid Transcriptomics Revealed the Reproductive Regulation of miRNA in the Follicular and Luteal Phases in Small-Tail Han Sheep with Different FecB Genotypes. Genes. 14(11). 2024–2024. 2 indexed citations

16.

Sun, Zhipeng, Xiaoyun He, Ran Di, et al.. (2022). Integrative Proteomics and Transcriptomics Profiles of the Oviduct Reveal the Prolificacy-Related Candidate Biomarkers of Goats (Capra hircus) in Estrous Periods. International Journal of Molecular Sciences. 23(23). 14888–14888. 8 indexed citations

17.

Wang, Xiangyu, Xiaofei Guo, Xiaoyun He, et al.. (2022). Integrated Proteotranscriptomics of the Hypothalamus Reveals Altered Regulation Associated with the FecB Mutation in the BMPR1B Gene That Affects Prolificacy in Small Tail Han Sheep. Biology. 12(1). 72–72. 7 indexed citations

18.

He, Xiaoyun, et al.. (2018). Circular RNA HIPK3: an emerging player in diabetes. Translational Cancer Research. 1(1). 2 indexed citations

19.

He, Xiaoyun, Gaoyan Kuang, Chunlin Ou, & Pengfei Cao. (2017). Crosstalk between circular RNAs and microRNAs in tumorigenesis. Translational Cancer Research. 6. 1 indexed citations

20.

He, Xiaoyun & Chunlin Ou. (2016). Research progress of long non-coding RNAs in diabetes. 8(3). 187–189. 1 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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