Bingxing An

675 total citations
26 papers, 394 citations indexed

About

Bingxing An is a scholar working on Genetics, Cancer Research and Animal Science and Zoology. According to data from OpenAlex, Bingxing An has authored 26 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 13 papers in Cancer Research and 10 papers in Animal Science and Zoology. Recurrent topics in Bingxing An's work include Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and Cancer-related molecular mechanisms research (13 papers). Bingxing An is often cited by papers focused on Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and Cancer-related molecular mechanisms research (13 papers). Bingxing An collaborates with scholars based in China, Denmark and United States. Bingxing An's co-authors include Huijiang Gao, Tianpeng Chang, Lupei Zhang, Junya Li, Lingyang Xu, Mang Liang, Lili Du, Xue Gao, Xiaoqiao Wang and Jian Miao and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and PLoS Genetics.

In The Last Decade

Bingxing An

25 papers receiving 385 citations

Peers

Bingxing An
Tianpeng Chang China
Mang Liang China
Jian Miao China
Aisaku Arakawa Japan
Yuhua Fu China
Shaokang Chen China
Dörte Wittenburg Germany
Nii M Japan
Juliana Petrini Brazil
Mohammad Ferdosi Australia
Tianpeng Chang China
Bingxing An
Citations per year, relative to Bingxing An Bingxing An (= 1×) peers Tianpeng Chang

Countries citing papers authored by Bingxing An

Since Specialization
Citations

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

Fields of papers citing papers by Bingxing An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingxing An

This figure shows the co-authorship network connecting the top 25 collaborators of Bingxing An. A scholar is included among the top collaborators of Bingxing An 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 Bingxing An. Bingxing An 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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Liu, Peihao, et al.. (2025). The heart and liver transcriptome responses to acute and chronic heat stress in broilers. Poultry Science. 104(11). 105632–105632. 1 indexed citations
4.
Luo, Na, Dawei Liu, Ying Fan, et al.. (2024). Integrating GWAS and transcriptomics to identify candidate genes conferring relative growth rate trait in white-feathered broiler. Poultry Science. 103(12). 104338–104338. 4 indexed citations
5.
Sun, Jiahong, Xinting Yang, Guiping Zhao, et al.. (2024). Protein phosphatase 1 catalytic subunit gamma is a causative gene for meat lightness and redness. PLoS Genetics. 20(11). e1011467–e1011467. 1 indexed citations
6.
Liu, Peihao, Na Luo, Jie Wen, et al.. (2024). Mining Candidate Genes and Identifying Risk Factors for Leg Disease in Broilers: A Mendelian Randomization Study. International Journal of Molecular Sciences. 25(16). 8890–8890. 1 indexed citations
7.
Liang, Mang, Bingxing An, Tianyu Deng, et al.. (2023). Incorporating genome-wide and transcriptome-wide association studies to identify genetic elements of longissimus dorsi muscle in Huaxi cattle. Frontiers in Genetics. 13. 982433–982433. 6 indexed citations
8.
An, Bingxing, et al.. (2023). Several models combined with ultrasound techniques to predict breast muscle weight in broilers. Poultry Science. 102(10). 102911–102911. 8 indexed citations
9.
An, Bingxing, Mang Liang, Tianpeng Chang, et al.. (2023). Prescreening of large-effect markers with multiple strategies improves the accuracy of genomic prediction. Journal of Integrative Agriculture. 23(5). 1634–1643. 2 indexed citations
10.
Liang, Mang, Bingxing An, Tianpeng Chang, et al.. (2022). Incorporating kernelized multi-omics data improves the accuracy of genomic prediction. Journal of Animal Science and Biotechnology. 13(1). 103–103. 2 indexed citations
11.
Du, Lili, Tianpeng Chang, Bingxing An, et al.. (2022). Integrating genomics and transcriptomics to identify candidate genes for subcutaneous fat deposition in beef cattle. Genomics. 114(4). 110406–110406. 24 indexed citations
12.
Liang, Mang, Tianpeng Chang, Bingxing An, et al.. (2021). A Stacking Ensemble Learning Framework for Genomic Prediction. Frontiers in Genetics. 12. 600040–600040. 60 indexed citations
13.
Chang, Tianpeng, Bingxing An, Mang Liang, et al.. (2021). PacBio Single-Molecule Long-Read Sequencing Provides New Light on the Complexity of Full-Length Transcripts in Cattle. Frontiers in Genetics. 12. 664974–664974. 12 indexed citations
14.
Du, Lili, Tianpeng Chang, Bingxing An, et al.. (2021). Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle. Scientific Reports. 11(1). 11897–11897. 14 indexed citations
15.
An, Bingxing, Mang Liang, Tianpeng Chang, et al.. (2021). KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency. Briefings in Bioinformatics. 22(6). 22 indexed citations
16.
Liang, Mang, Jian Miao, Xiaoqiao Wang, et al.. (2020). Application of ensemble learning to genomic selection in chinese simmental beef cattle. Journal of Animal Breeding and Genetics. 138(3). 291–299. 22 indexed citations
17.
An, Bingxing, Lei Xu, Jiangwei Xia, et al.. (2020). Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle. BMC Genetics. 21(1). 32–32. 47 indexed citations
18.
An, Bingxing, Xue Gao, Tianpeng Chang, et al.. (2019). Genome-wide association studies using binned genotypes. Heredity. 124(2). 288–298. 10 indexed citations
19.
An, Bingxing, Junfeng Xia, Tianpeng Chang, et al.. (2019). Genome‐wide association study reveals candidate genes associated with body measurement traits in Chinese Wagyu beef cattle. Animal Genetics. 50(4). 386–390. 41 indexed citations
20.
An, Bingxing, Jiangwei Xia, Tianpeng Chang, et al.. (2018). Genome-wide association study identifies loci and candidate genes for internal organ weights in Simmental beef cattle. Physiological Genomics. 50(7). 523–531. 29 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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