Fang‐Xi Yang

1.1k total citations · 1 hit paper
25 papers, 588 citations indexed

About

Fang‐Xi Yang is a scholar working on Genetics, Animal Science and Zoology and Insect Science. According to data from OpenAlex, Fang‐Xi Yang has authored 25 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 16 papers in Animal Science and Zoology and 4 papers in Insect Science. Recurrent topics in Fang‐Xi Yang's work include Genetic and phenotypic traits in livestock (19 papers), Animal Nutrition and Physiology (9 papers) and Livestock and Poultry Management (9 papers). Fang‐Xi Yang is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Animal Nutrition and Physiology (9 papers) and Livestock and Poultry Management (9 papers). Fang‐Xi Yang collaborates with scholars based in China, United Kingdom and United States. Fang‐Xi Yang's co-authors include Zhuocheng Hou, Feng Zhu, Jin-Ping Hao, Yuze Yang, Si-Rui Chen, Lujiang Qu, Ning Yang, Fan Zhang, Jiangxia Zheng and Zhonghua Ning and has published in prestigious journals such as BMC Genomics, Poultry Science and Genomics.

In The Last Decade

Fang‐Xi Yang

24 papers receiving 582 citations

Hit Papers

Genome-wide association study reveals novel loci associat... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome-wide association study reveals novel loci associated with body size and carcass yields in Pekin ducks
    2019 251 citations Feng Zhu, Yuze Yang et al. BMC Genomics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang‐Xi Yang China 12 268 204 163 118 79 25 588
A. M. Ramos United States 16 317 1.2× 189 0.9× 152 0.9× 181 1.5× 57 0.7× 28 602
Hojjat Asadollahpour Nanaei Iran 14 362 1.4× 161 0.8× 88 0.5× 83 0.7× 132 1.7× 35 540
Christa F. Honaker United States 17 302 1.1× 194 1.0× 471 2.9× 107 0.9× 22 0.3× 44 782
Maurício A. Mudadu Brazil 16 655 2.4× 265 1.3× 174 1.1× 108 0.9× 196 2.5× 45 945
Minos Esperândio Carvalho Brazil 9 222 0.8× 87 0.4× 188 1.2× 116 1.0× 30 0.4× 21 449
Q. Zhang China 15 558 2.1× 71 0.3× 92 0.6× 173 1.5× 127 1.6× 31 651
Christine Große‐Brinkhaus Germany 18 302 1.1× 236 1.2× 212 1.3× 53 0.4× 120 1.5× 51 732
Rasoul Vaez Torshizi Iran 14 439 1.6× 86 0.4× 232 1.4× 75 0.6× 52 0.7× 79 603
W Barris Australia 7 340 1.3× 341 1.7× 57 0.3× 115 1.0× 304 3.8× 10 750

Countries citing papers authored by Fang‐Xi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Xi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang‐Xi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐Xi Yang. A scholar is included among the top collaborators of Fang‐Xi 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 Fang‐Xi Yang. Fang‐Xi 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
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Zhang, Xinye, Fang‐Xi Yang, Tao Zhu, et al.. (2024). Whole genome resequencing reveals genomic regions related to red plumage in ducks. Poultry Science. 103(6). 103694–103694. 6 indexed citations
4.
Yang, Yuze, Zhongtao Yin, Xinyi Lin, et al.. (2024). Research note: Whole-genome sequencing revealed genomic diversity dynamics in duck conserved populations. Poultry Science. 104(1). 104509–104509. 1 indexed citations
5.
Zhou, Jun, Jiang‐Zhou Yu, Fang‐Xi Yang, et al.. (2024). Optimizing Breeding Strategies for Pekin Ducks Using Genomic Selection: Genetic Parameter Evaluation and Selection Progress Analysis in Reproductive Traits. Applied Sciences. 15(1). 194–194. 3 indexed citations
6.
Zhang, Fan, et al.. (2023). A novel candidate gene CLN8 regulates fat deposition in avian. Journal of Animal Science and Biotechnology. 14(1). 70–70. 6 indexed citations
7.
Zhu, Feng, et al.. (2021). Genome-wide association study reveals novel loci associated with feeding behavior in Pekin ducks. BMC Genomics. 22(1). 334–334. 4 indexed citations
8.
Zhang, Fan, Feng Zhu, Fang‐Xi Yang, Jin-Ping Hao, & Zhuocheng Hou. (2021). Genomic selection for meat quality traits in Pekin duck. Animal Genetics. 53(1). 94–100. 14 indexed citations
9.
Liu, Weiwei, Fan Zhang, Feng Zhu, et al.. (2020). Genome-wide association study of bone quality and feed efficiency-related traits in Pekin ducks. Genomics. 112(6). 5021–5028. 10 indexed citations
10.
Zhu, Feng, et al.. (2020). Selection response and genetic parameter estimation of feeding behavior traits in Pekin ducks. Poultry Science. 99(5). 2375–2384. 14 indexed citations
11.
Zhu, Feng, et al.. (2019). Genome-wide association study of the level of blood components in Pekin ducks. Genomics. 112(1). 379–387. 14 indexed citations
12.
Chen, Si-Rui, et al.. (2019). Comparison of carcass and meat quality traits between lean and fat Pekin ducks. Animal Bioscience. 34(7). 1193–1201. 25 indexed citations
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14.
Zhu, Feng, Yuze Yang, Fang‐Xi Yang, et al.. (2019). Genome-wide association study reveals novel loci associated with body size and carcass yields in Pekin ducks. BMC Genomics. 20(1). 1–1. 251 indexed citations breakdown →
15.
Zhu, Feng, et al.. (2019). Genome-Wide Association Study of Growth and Feeding Traits in Pekin Ducks. Frontiers in Genetics. 10. 702–702. 22 indexed citations
16.
Zhu, Feng, et al.. (2018). In vivo prediction of the carcass fatness using live body measurements in Pekin ducks. Poultry Science. 97(7). 2365–2371. 25 indexed citations
17.
Zhu, Feng, et al.. (2017). Systematic analysis of feeding behaviors and their effects on feed efficiency in Pekin ducks. Journal of Animal Science and Biotechnology. 8(1). 81–81. 10 indexed citations
18.
Zhu, Feng, Zhenhe Zhang, Yuze Yang, et al.. (2015). De novo transcriptome assembly and identification of genes associated with feed conversion ratio and breast muscle yield in domestic ducks. Animal Genetics. 46(6). 636–645. 19 indexed citations
19.
Hou, Zhuocheng, Fang‐Xi Yang, Lujiang Qu, et al.. (2011). Genetic structure of Eurasian and North American mallard ducks based on mtDNA data. Animal Genetics. 43(3). 352–355. 13 indexed citations
20.
Qu, Lujiang, Wei Liu, Fang‐Xi Yang, et al.. (2009). Origin and domestication history of Peking ducks deltermined through microsatellite and mitochondrial marker analysis. Science in China Series C Life Sciences. 52(11). 1030–1035. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by A. M. Ramos Breakdown of academic impact, for papers by Hojjat Asadollahpour Nanaei Breakdown of academic impact, for papers by Christa F. Honaker Breakdown of academic impact, for papers by Maurício A. Mudadu Breakdown of academic impact, for papers by Minos Esperândio Carvalho Breakdown of academic impact, for papers by Q. Zhang Breakdown of academic impact, for papers by Christine Große‐Brinkhaus Breakdown of academic impact, for papers by Rasoul Vaez Torshizi Breakdown of academic impact, for papers by W Barris
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