Naiyi Xu

514 total citations
10 papers, 113 citations indexed

About

Naiyi Xu is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Naiyi Xu has authored 10 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Animal Science and Zoology. Recurrent topics in Naiyi Xu's work include Genetic and phenotypic traits in livestock (5 papers), Genetic diversity and population structure (2 papers) and Livestock and Poultry Management (2 papers). Naiyi Xu is often cited by papers focused on Genetic and phenotypic traits in livestock (5 papers), Genetic diversity and population structure (2 papers) and Livestock and Poultry Management (2 papers). Naiyi Xu collaborates with scholars based in China, Canada and Netherlands. Naiyi Xu's co-authors include Xiangtao Kang, Xiaojun Liu, Yadong Tian, Junxiao Ren, Yanbin Wang, Yu Jiang, Hojjat Asadollahpour Nanaei, Zhuanjian Li, Hong Li and Weihua Tian and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and BMC Genomics.

In The Last Decade

Naiyi Xu

9 papers receiving 112 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naiyi Xu China	7	52	38	37	21	14	10	113
Reza Talebi Iran	9	127 2.4×	43 1.1×	55 1.5×	35 1.7×	11 0.8×	26	211
Xinxing Dong China	7	103 2.0×	23 0.6×	29 0.8×	42 2.0×	9 0.6×	21	143
Miaomiao Mai China	5	36 0.7×	10 0.3×	44 1.2×	37 1.8×	28 2.0×	7	87
D. A. Jones United Kingdom	8	48 0.9×	36 0.9×	43 1.2×	4 0.2×	18 1.3×	10	139
Karen Dixen Denmark	5	19 0.4×	12 0.3×	41 1.1×	18 0.9×	99 7.1×	5	140
Shaofen Kong China	8	35 0.7×	40 1.1×	156 4.2×	87 4.1×	76 5.4×	19	253
Przemysław Szałaj Poland	7	38 0.7×	2 0.1×	157 4.2×	11 0.5×	27 1.9×	7	207
Laleh Abbassi Canada	4	22 0.4×	12 0.3×	85 2.3×	2 0.1×	17 1.2×	4	229
Helen Li United States	3	54 1.0×	2 0.1×	55 1.5×	20 1.0×	4 0.3×	9	118
Morgane Térézol France	4	8 0.2×	6 0.2×	56 1.5×	8 0.4×	5 0.4×	7	111

Countries citing papers authored by Naiyi Xu

Since Specialization

Citations

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

Fields of papers citing papers by Naiyi Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naiyi Xu

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Xu, Naiyi, et al.. (2025). Population structure, selection signal and introgression of gamecocks revealed by whole genome sequencing. Journal of Animal Science and Biotechnology. 16(1). 22–22.

2.

Fang, Yan, Xinyu Liu, Yuli Liu, & Naiyi Xu. (2024). Insights into the Mode and Mechanism of Interactions Between RNA and RNA-Binding Proteins. International Journal of Molecular Sciences. 25(21). 11337–11337. 4 indexed citations

3.

Zhao, Shengnan, et al.. (2024). Caprine and Ovine Genomic Selection—Progress and Application. Animals. 14(18). 2659–2659. 2 indexed citations

4.

Nanaei, Hojjat Asadollahpour, Yudong Cai, Jiayue Wen, et al.. (2022). Genomic analysis of indigenous goats in Southwest Asia reveals evidence of ancient adaptive introgression related to desert climate. 动物学研究. 44(1). 20–29. 9 indexed citations

5.

Fu, Weiwei, Rui Wang, Naiyi Xu, et al.. (2022). Galbase: a comprehensive repository for integrating chicken multi-omics data. BMC Genomics. 23(1). 364–364. 12 indexed citations

6.

Xu, Naiyi, et al.. (2022). Genomic Analyses for Selective Signatures and Genes Involved in Hot Adaptation Among Indigenous Chickens From Different Tropical Climate Regions. Frontiers in Genetics. 13. 906447–906447. 8 indexed citations

7.

Xu, Naiyi, Si Wei, Mian Gong, et al.. (2021). Genome-wide scan for selective footprints and genes related to cold tolerance in Chantecler chickens. 动物学研究. 42(6). 710–720. 29 indexed citations

8.

Ren, Junxiao, Naiyi Xu, Hang Zheng, et al.. (2017). Expression of Thyroid Hormone Responsive SPOT 14 Gene Is Regulated by Estrogen in Chicken (Gallus gallus). Scientific Reports. 7(1). 10243–10243. 26 indexed citations

9.

Ren, Junxiao, Yanmin Li, Naiyi Xu, et al.. (2016). Association of estradiol on expression of melanocortin receptors and their accessory proteins in the liver of chicken ( Gallus gallus ). General and Comparative Endocrinology. 240. 182–190. 10 indexed citations

10.

Ren, Junxiao, Naiyi Xu, Zheng Ma, et al.. (2016). Characteristics of expression and regulation of sirtuins in chicken (Gallus gallus). Genome. 60(5). 431–440. 13 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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