Yiyuan Yan

918 total citations
28 papers, 474 citations indexed

About

Yiyuan Yan is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Yiyuan Yan has authored 28 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Animal Science and Zoology and 8 papers in Molecular Biology. Recurrent topics in Yiyuan Yan's work include Animal Nutrition and Physiology (13 papers), Genetic and phenotypic traits in livestock (12 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Yiyuan Yan is often cited by papers focused on Animal Nutrition and Physiology (13 papers), Genetic and phenotypic traits in livestock (12 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Yiyuan Yan collaborates with scholars based in China, Indonesia and United States. Yiyuan Yan's co-authors include Ning Yang, Congjiao Sun, Guiqin Wu, Guangqi Li, Zhuang Liu, Aiqiao Liu, Guoqiang Yi, Guiyun Xu, Lujiang Qu and Jianfeng Liu and has published in prestigious journals such as ACS Nano, PLoS ONE and Scientific Reports.

In The Last Decade

Yiyuan Yan

23 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiyuan Yan China 13 233 210 133 94 54 28 474
J. Li China 13 203 0.9× 262 1.2× 110 0.8× 150 1.6× 9 0.2× 24 551
Adriana Mello de Araújo Brazil 12 224 1.0× 80 0.4× 55 0.4× 25 0.3× 15 0.3× 36 331
Zhi Chai China 10 80 0.3× 51 0.2× 100 0.8× 52 0.6× 82 1.5× 19 429
Huaming Mao China 11 129 0.6× 45 0.2× 211 1.6× 34 0.4× 7 0.1× 43 499
Lee‐Anne Huber Canada 12 76 0.3× 184 0.9× 52 0.4× 51 0.5× 4 0.1× 59 467
H. Abe Japan 10 123 0.5× 64 0.3× 29 0.2× 120 1.3× 90 1.7× 28 355
Yangyang Sun China 12 51 0.2× 100 0.5× 129 1.0× 107 1.1× 10 0.2× 26 369

Countries citing papers authored by Yiyuan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yiyuan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyuan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yiyuan Yan. A scholar is included among the top collaborators of Yiyuan Yan 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 Yiyuan Yan. Yiyuan Yan 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.
Lan, Fangren, Qianqian Zhou, Xiaochang Li, et al.. (2025). Deciphering the coordinated roles of the host genome, duodenal mucosal genes, and microbiota in regulating complex traits in chickens. Microbiome. 13(1). 62–62.
2.
Yan, Yiyuan, Jiahua Chen, Junying Li, et al.. (2025). Transcriptome of the ovaries and oviduct associates inflammatory response with high blood and meat spots incidence in chickens. BMC Genomics. 26(1). 1021–1021.
3.
Ren, Wangwei, Shichao Zhang, Qiang Lü, et al.. (2025). Multi-functional surface treatment enhances structural and electrochemical properties of Li-rich Mn-based cathodes for Li-ion batteries. Journal of Energy Storage. 132. 117891–117891.
4.
Yan, Yiyuan, Jiahua Chen, Junying Li, et al.. (2025). Brown-shell eggs shows high incidence of blood and meat spots accompanied by unique microbial distribution patterns. Frontiers in Nutrition. 12. 1561194–1561194.
5.
Liu, Shen, Yiyuan Yan, Shichao Zhang, et al.. (2025). A 3D interconnected functionalized metal organic framework-reinforced solid electrolyte by in-situ polymerization for stable lithium metal battery. Energy storage materials. 80. 104396–104396. 1 indexed citations
6.
Yan, Yiyuan, et al.. (2024). Pedigree reconstruction based on genotype data in chickens. Poultry Science. 103(12). 104327–104327.
7.
Guan, Xianggang, Shuai Yin, Yiyuan Yan, et al.. (2024). Self-assembled 3D CoSe-based sulfur host enables high-efficient and durable electrocatalytic conversion of polysulfides for flexible lithium-sulfur batteries. Energy storage materials. 71. 103652–103652. 24 indexed citations
8.
Li, Xiaochang, Xinwei Jiang, Guiqin Wu, et al.. (2024). Genetic patterns and genome-wide association analysis of eggshell quality traits of egg-type chicken across an extended laying period. Poultry Science. 103(4). 103458–103458. 7 indexed citations
9.
Huang, Qiang, et al.. (2024). Synergy of gut microbiota and host genome in driving heterosis expression of chickens. Journal of genetics and genomics. 51(10). 1121–1134. 3 indexed citations
10.
Xia, Jun, Shuai Yin, Yang Tian, et al.. (2023). Synthesis of Co4N nanoparticles via a urea-glass route toward bifunctional cathode for high-performance Li−O2 batteries. Journal of Energy Storage. 74. 109364–109364. 8 indexed citations
11.
Ma, Yunlong, Hui Song, Qianqian Zhao, et al.. (2023). The genomic characteristics affect phenotypic diversity from the perspective of genetic improvement of economic traits. iScience. 26(4). 106426–106426. 10 indexed citations
12.
Li, Xianyu, et al.. (2022). Associations of the T329S Polymorphism in Flavin-Containing Monooxygenase 3 With Atherosclerosis and Fatty Liver Syndrome in 90-Week-Old Hens. Frontiers in Veterinary Science. 9. 868602–868602. 2 indexed citations
13.
Zhou, Qianqian, Fangren Lan, Guangqi Li, et al.. (2022). Genetic and microbiome analysis of feed efficiency in laying hens. Poultry Science. 102(4). 102393–102393. 13 indexed citations
14.
Wen, Chaoliang, Quanlin Li, Fangren Lan, et al.. (2021). Microbiota continuum along the chicken oviduct and its association with host genetics and egg formation. Poultry Science. 100(7). 101104–101104. 37 indexed citations
15.
Liu, Zhuang, Congjiao Sun, Yiyuan Yan, et al.. (2021). Design and evaluation of a custom 50K Infinium SNP array for egg-type chickens. Poultry Science. 100(5). 101044–101044. 13 indexed citations
16.
Xu, Guiyun, et al.. (2019). Differential proteomic analysis revealed crucial egg white proteins for hatchability of chickens. Poultry Science. 98(12). 7076–7089. 10 indexed citations
17.
Liu, Zhuang, Congjiao Sun, Yiyuan Yan, et al.. (2018). Genetic variations for egg quality of chickens at late laying period revealed by genome-wide association study. Scientific Reports. 8(1). 10832–10832. 54 indexed citations
18.
Liu, Zhuang, Congjiao Sun, Yiyuan Yan, et al.. (2018). Genome-Wide Association Analysis of Age-Dependent Egg Weights in Chickens. Frontiers in Genetics. 9. 128–128. 31 indexed citations
19.
Yan, Yiyuan, Guiqin Wu, Aiqiao Liu, et al.. (2017). Genomic prediction in a nuclear population of layers using single-step models. Poultry Science. 97(2). 397–402. 15 indexed citations
20.
Yan, Yiyuan, Guoqiang Yi, Congjiao Sun, Lujiang Qu, & Ning Yang. (2014). Genome-Wide Characterization of Insertion and Deletion Variation in Chicken Using Next Generation Sequencing. PLoS ONE. 9(8). e104652–e104652. 33 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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