Lingyang Xu

4.4k total citations
143 papers, 2.8k citations indexed

About

Lingyang Xu is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Lingyang Xu has authored 143 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Genetics, 67 papers in Cancer Research and 38 papers in Molecular Biology. Recurrent topics in Lingyang Xu's work include Genetic and phenotypic traits in livestock (103 papers), Genetic Mapping and Diversity in Plants and Animals (91 papers) and Cancer-related molecular mechanisms research (64 papers). Lingyang Xu is often cited by papers focused on Genetic and phenotypic traits in livestock (103 papers), Genetic Mapping and Diversity in Plants and Animals (91 papers) and Cancer-related molecular mechanisms research (64 papers). Lingyang Xu collaborates with scholars based in China, United States and Canada. Lingyang Xu's co-authors include Junya Li, Lupei Zhang, Huijiang Gao, George E. Liu, Xue Gao, Derek M. Bickhart, Yan Chen, Jiuzhou Song, Tad S. Sonstegard and Curtis P. Van Tassell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Lingyang Xu

138 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyang Xu China 29 2.2k 781 779 533 404 143 2.8k
Latifa Karim Belgium 23 3.1k 1.4× 910 1.2× 647 0.8× 906 1.7× 248 0.6× 43 3.7k
Qin Zhang China 30 2.2k 1.0× 794 1.0× 776 1.0× 594 1.1× 330 0.8× 139 3.0k
Bertrand Servin France 25 2.4k 1.1× 618 0.8× 403 0.5× 830 1.6× 289 0.7× 59 3.2k
Amanda J. Chamberlain Australia 28 3.2k 1.4× 498 0.6× 651 0.8× 1.2k 2.2× 398 1.0× 74 3.6k
Fuping Zhao China 24 1.5k 0.7× 526 0.7× 622 0.8× 260 0.5× 278 0.7× 72 1.9k
Huijiang Gao China 27 1.5k 0.7× 401 0.5× 583 0.7× 203 0.4× 337 0.8× 125 1.9k
Iona M. MacLeod Australia 27 1.9k 0.8× 354 0.5× 475 0.6× 531 1.0× 242 0.6× 81 2.2k
Rachel Hawken Australia 32 2.4k 1.1× 726 0.9× 403 0.5× 426 0.8× 698 1.7× 92 3.1k
W. M. Snelling United States 33 2.7k 1.2× 522 0.7× 540 0.7× 465 0.9× 735 1.8× 107 3.3k
Jared E. Decker United States 23 1.3k 0.6× 386 0.5× 325 0.4× 312 0.6× 240 0.6× 62 1.8k

Countries citing papers authored by Lingyang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Lingyang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyang Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyang Xu. A scholar is included among the top collaborators of Lingyang 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 Lingyang Xu. Lingyang Xu 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.
Wu, Tianyi, Tianliu Zhang, Zheng Xu, et al.. (2025). Comprehensive Multi-omics Analysis of Regulatory Variants for Body Weight in Cattle. Genomics Proteomics & Bioinformatics. 23(4).
2.
Zhu, Bo, Zezhao Wang, El Hamidi Hay, et al.. (2025). Multiple strategies association revealed functional candidate FASN gene for fatty acid composition in cattle. Communications Biology. 8(1). 208–208. 2 indexed citations
3.
Wang, Zezhao, Lupei Zhang, Huijiang Gao, et al.. (2024). Integrating multi-layered biological priors to improve genomic prediction accuracy in beef cattle. Biology Direct. 19(1). 147–147. 1 indexed citations
4.
Zhang, Yapeng, Wentao Cai, Qi Zhang, et al.. (2024). Integrated analyses of genomic and transcriptomic data reveal candidate variants associated with carcass traits in Huaxi cattle 1. Journal of Integrative Agriculture. 1 indexed citations
5.
Wang, Yuanqing, Jing Wang, Lupei Zhang, et al.. (2024). Genome-Wide Detection of Copy Number Variations and Their Potential Association with Carcass and Meat Quality Traits in Pingliang Red Cattle. International Journal of Molecular Sciences. 25(11). 5626–5626. 4 indexed citations
6.
Li, Hongwei, Bo Zhu, Lupei Zhang, et al.. (2024). Improving Genomic Predictions in Multi-Breed Cattle Populations: A Comparative Analysis of BayesR and GBLUP Models. Genes. 15(2). 253–253. 3 indexed citations
7.
Yuan, Feng, Yu Wang, Juan Zhang, et al.. (2024). Genome-Wide Scans for Selection Signatures in Ningxia Angus Cattle Reveal Genetic Variants Associated with Economic and Adaptive Traits. Animals. 15(1). 58–58. 1 indexed citations
8.
Wang, Yuanqing, Jing Wang, Lupei Zhang, et al.. (2023). Genetic Origin and Introgression Pattern of Pingliang Red Cattle Revealed Using Genome-Wide SNP Analyses. Genes. 14(12). 2198–2198.
9.
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
10.
Wang, Jing, Tingting Fan, Lingyang Xu, et al.. (2023). Genome-Wide Association Analysis Identifies the PMEL Gene Affecting Coat Color and Birth Weight in Simmental × Holstein. Animals. 13(24). 3821–3821. 7 indexed citations
11.
Xu, Zheng, Tianzhen Wang, Jiayuan Wu, et al.. (2023). Evaluation of Linear Programming and Optimal Contribution Selection Approaches for Long-Term Selection on Beef Cattle Breeding. Biology. 12(9). 1157–1157. 1 indexed citations
12.
Bordbar, Farhad, Mohammadreza Mohammadabadi, Just Jensen, et al.. (2022). Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses. Animals. 12(9). 1103–1103. 30 indexed citations
13.
Chen, Yan, Tianliu Zhang, Ming Xian, et al.. (2022). A draft genome of Drung cattle reveals clues to its chromosomal fusion and environmental adaptation. Communications Biology. 5(1). 353–353. 6 indexed citations
14.
Li, Hongwei, Zezhao Wang, Lei Xu, et al.. (2022). Genomic prediction of carcass traits using different haplotype block partitioning methods in beef cattle. Evolutionary Applications. 15(12). 2028–2042. 5 indexed citations
15.
Xu, Zheng, Tianliu Zhang, Tianzhen Wang, et al.. (2022). Long-Term Impact of Genomic Selection on Genetic Gain Using Different SNP Density. Agriculture. 12(9). 1463–1463. 3 indexed citations
16.
Li, Hongwei, Bo Zhu, Zezhao Wang, et al.. (2021). Genomic Prediction Using LD-Based Haplotypes Inferred From High-Density Chip and Imputed Sequence Variants in Chinese Simmental Beef Cattle. Frontiers in Genetics. 12. 665382–665382. 14 indexed citations
17.
Hu, Xin, Ling Ren, Yahui Wang, et al.. (2020). bta-miR-23a Regulates the Myogenic Differentiation of Fetal Bovine Skeletal Muscle-Derived Progenitor Cells by Targeting MDFIC Gene. Genes. 11(10). 1232–1232. 8 indexed citations
18.
Bordbar, Farhad, Just Jensen, ‬Min Du, et al.. (2020). Identification and validation of a novel candidate gene regulating net meat weight in Simmental beef cattle based on imputed next‐generation sequencing. Cell Proliferation. 53(9). e12870–e12870. 10 indexed citations
19.
Xu, Lingyang, Yanghua He, Yi Ding, et al.. (2017). Characterization of Copy Number Variation’s Potential Role in Marek’s Disease. International Journal of Molecular Sciences. 18(5). 1020–1020. 9 indexed citations
20.
Xu, Lingyang, Yan Chen, Lupei Zhang, et al.. (2016). Genome-Wide Association Study Reveals the PLAG1 Gene for Knuckle, Biceps and Shank Weight in Simmental Beef Cattle. PLoS ONE. 11(12). e0168316–e0168316. 36 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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