Xiaobin Yang

435 total citations
31 papers, 244 citations indexed

About

Xiaobin Yang is a scholar working on Molecular Biology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Xiaobin Yang has authored 31 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Agronomy and Crop Science. Recurrent topics in Xiaobin Yang's work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Cancer-related molecular mechanisms research (5 papers). Xiaobin Yang is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Cancer-related molecular mechanisms research (5 papers). Xiaobin Yang collaborates with scholars based in China, Estonia and Hong Kong. Xiaobin Yang's co-authors include Shu Zhang, Jiangbo Cheng, Deyin Zhang, Xiaolong Li, Xiaoxue Zhang, Dan Xu, Yukun Zhang, Changchun Lin, Hua Li and Fadi Li and has published in prestigious journals such as Molecules, Frontiers in Microbiology and Gene.

In The Last Decade

Xiaobin Yang

29 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Yang China 9 107 67 55 26 22 31 244
Jiguo Xu China 10 117 1.1× 109 1.6× 50 0.9× 113 4.3× 18 0.8× 27 285
Sena Ardıçlı Türkiye 11 79 0.7× 128 1.9× 32 0.6× 86 3.3× 53 2.4× 55 354
Guoying Hua China 9 102 1.0× 68 1.0× 34 0.6× 46 1.8× 33 1.5× 26 210
Urszula Czarnik Poland 12 215 2.0× 129 1.9× 62 1.1× 50 1.9× 42 1.9× 41 476
Jinshan Zhao China 8 136 1.3× 29 0.4× 33 0.6× 16 0.6× 7 0.3× 19 328
Junting Cao China 11 112 1.0× 68 1.0× 50 0.9× 94 3.6× 14 0.6× 22 269
Donglin Wu China 11 156 1.5× 35 0.5× 18 0.3× 20 0.8× 34 1.5× 25 277
Mahmoud Hussein Egypt 9 73 0.7× 52 0.8× 20 0.4× 14 0.5× 30 1.4× 25 333
Cai‐Xia Yang China 13 250 2.3× 51 0.8× 101 1.8× 17 0.7× 12 0.5× 30 400

Countries citing papers authored by Xiaobin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Yang. A scholar is included among the top collaborators of Xiaobin 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 Xiaobin Yang. Xiaobin 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.
Yang, Xiaobin, et al.. (2025). Research Progress on the Exacerbation of Lipid Metabolism by Malassezia and Its Impact on the Skin Barrier Function. Cosmetics. 12(2). 67–67. 3 indexed citations
2.
3.
Zhao, Liming, Fadi Li, Xiaoxue Zhang, et al.. (2024). Integrating genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep1. Journal of Integrative Agriculture. 2 indexed citations
4.
Zhang, Yukun, Jiangbo Cheng, Changchun Lin, et al.. (2024). Spatial heterogeneity determines the gastrointestinal microbiome signatures and ecological processes that govern bacterial community assembly in sheep. Microbiology Spectrum. 13(2). e0111024–e0111024. 2 indexed citations
5.
He, Lijuan, Weimin Wang, Xiaojuan Wang, et al.. (2024). Identification of the FGB gene polymorphism and analysis of its association with fat deposition traits in Hu sheep. Animal Biotechnology. 35(1). 2344207–2344207.
6.
Yang, Xiaobin, Jianhui Wang, Jiangbo Cheng, et al.. (2024). Relationship between sheep feces scores and gastrointestinal microorganisms and their effects on growth traits and blood indicators. Frontiers in Microbiology. 15. 1348873–1348873. 6 indexed citations
7.
Zhao, Liming, Lvfeng Yuan, Fadi Li, et al.. (2024). Whole-genome resequencing of Hu sheep identifies candidate genes associated with agronomic traits. Journal of genetics and genomics. 51(8). 866–876. 13 indexed citations
8.
Yang, Xiaobin, et al.. (2023). Plant Exosome-like Nanoparticles as Biological Shuttles for Transdermal Drug Delivery. Bioengineering. 10(1). 104–104. 45 indexed citations
9.
Yang, Xiaobin, Weimin Wang, Deyin Zhang, et al.. (2023). Genetic polymorphism of the ovine MAP3K5 gene and its association with body size traits in Hu sheep of China. Archives animal breeding/Archiv für Tierzucht. 66(1). 71–79. 2 indexed citations
10.
Wang, Weimin, Deyin Zhang, Yukun Zhang, et al.. (2023). Polymorphisms of PLIN1 and MOGAT1 genes and their association with feed efficiency in Hu sheep. Gene. 897. 148072–148072. 3 indexed citations
11.
Wang, Weimin, Deyin Zhang, Yukun Zhang, et al.. (2022). Ovine RAP1GAP and rBAT gene polymorphisms and their association with tail fat deposition in Hu sheep. Frontiers in Veterinary Science. 9. 974513–974513. 6 indexed citations
12.
Zhao, Yuan, Xiaoxue Zhang, Fadi Li, et al.. (2022). Whole Genome Sequencing Analysis to Identify Candidate Genes Associated With the rib eye Muscle Area in Hu Sheep. Frontiers in Genetics. 13. 824742–824742. 15 indexed citations
13.
Zhang, Deyin, Xiaoxue Zhang, Fadi Li, et al.. (2022). Identification and characterization of circular RNAs in association with the feed efficiency in Hu lambs. BMC Genomics. 23(1). 288–288. 7 indexed citations
14.
Wang, Jianhui, Xiaojuan Wang, Fadi Li, et al.. (2022). Molecular characterization and expression of RPS23 and HPSE and their association with hematologic parameters in sheep. Gene. 837. 146654–146654. 3 indexed citations
15.
Zhang, Deyin, Xiaoxue Zhang, Fadi Li, et al.. (2022). Whole-genome resequencing reveals molecular imprints of anthropogenic and natural selection in wild and domesticated sheep. 动物学研究. 43(5). 695–705. 19 indexed citations
16.
Zhang, Deyin, Xiaoxue Zhang, Fadi Li, et al.. (2022). Expression Profiles of the Ovine IL18 Gene and Association of Its Polymorphism With Hematologic Parameters in Hu Lambs. Frontiers in Veterinary Science. 9. 925928–925928. 1 indexed citations
17.
Wang, Jianhui, Yukun Zhang, Xiaojuan Wang, et al.. (2022). Association between rumen microbiota and marbling grade in Hu sheep. Frontiers in Microbiology. 13. 978263–978263. 9 indexed citations
18.
Wu, Yinan, et al.. (2021). Polygalaxanthone III downregulates inflammation in the lipopolysaccharide-stimulated RAW264.7 macrophages: A quantibody array analysis. Journal of Pharmacological Sciences. 147(2). 184–191. 7 indexed citations
19.
20.
Li, Ruijun, Xiaobin Yang, Qiang Li, Shigen Ye, & Hua Li. (2015). Enhanced immune response and resistance to edwardsiellosis following dietary chitooligosaccharide supplementation in the olive flounder ( Paralichthys olivaceus ). Fish & Shellfish Immunology. 47(1). 74–78. 18 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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