Xiangyu Guo

624 total citations
34 papers, 389 citations indexed

About

Xiangyu Guo is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Xiangyu Guo has authored 34 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 8 papers in Animal Science and Zoology and 8 papers in Plant Science. Recurrent topics in Xiangyu Guo's work include Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Wheat and Barley Genetics and Pathology (8 papers). Xiangyu Guo is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Wheat and Barley Genetics and Pathology (8 papers). Xiangyu Guo collaborates with scholars based in Denmark, China and United States. Xiangyu Guo's co-authors include Guosheng Su, Ole Fredslund Christensen, Mogens Sandø Lund, Just Jensen, Tage Ostersen, Yachun Wang, Y. Wang, Jeppe Reitan Andersen, Luc Janss and Ahmed Jahoor and has published in prestigious journals such as Scientific Reports, Journal of Dairy Science and Frontiers in Plant Science.

In The Last Decade

Xiangyu Guo

31 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangyu Guo Denmark 12 280 120 98 73 50 34 389
Michela Ablondi Italy 13 314 1.1× 66 0.6× 118 1.2× 80 1.1× 37 0.7× 42 463
Guilherme Costa Venturini Brazil 14 427 1.5× 120 1.0× 149 1.5× 192 2.6× 28 0.6× 31 536
G. Erhardt Germany 6 321 1.1× 65 0.5× 99 1.0× 48 0.7× 27 0.5× 14 375
Cinzia Marchitelli Italy 13 304 1.1× 91 0.8× 163 1.7× 105 1.4× 13 0.3× 30 522
Jolanta Komisarek Poland 14 341 1.2× 63 0.5× 215 2.2× 103 1.4× 42 0.8× 33 521
Ahmad Ayatollahi Mehrgardi Iran 11 258 0.9× 66 0.6× 68 0.7× 87 1.2× 13 0.3× 29 344
M.H. Pool Netherlands 10 375 1.3× 56 0.5× 183 1.9× 187 2.6× 45 0.9× 23 509
Keiichi Inoue Japan 12 250 0.9× 30 0.3× 66 0.7× 126 1.7× 22 0.4× 32 367
E. E. Connor United States 9 253 0.9× 29 0.2× 254 2.6× 140 1.9× 45 0.9× 18 433
Siyuan Mi China 10 150 0.5× 24 0.2× 94 1.0× 48 0.7× 28 0.6× 37 313

Countries citing papers authored by Xiangyu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyu Guo. A scholar is included among the top collaborators of Xiangyu Guo 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 Xiangyu Guo. Xiangyu Guo 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.
Sarup, Pernille, Just Jensen, Xiangyu Guo, et al.. (2025). Genomic prediction for yield and malting traits in barley using metabolomic and near-infrared spectra. Theoretical and Applied Genetics. 138(1). 24–24. 1 indexed citations
2.
Guo, Xiangyu, Simon Fiil Svane, Lene Krusell, et al.. (2024). Genomic prediction for root and yield traits of barley under a water availability gradient: a case study comparing different spatial adjustments. Plant Methods. 20(1). 8–8. 2 indexed citations
3.
Jiao, Lefei, et al.. (2023). Transcriptome analysis of Cryptocaryon irritans tomont responding to Bacillus licheniformis treatment. Fish & Shellfish Immunology. 140. 108943–108943. 1 indexed citations
4.
Guo, Xiangyu, Pernille Sarup, Ahmed Jahoor, Just Jensen, & Ole Fredslund Christensen. (2023). Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley. Genetics Selection Evolution. 55(1). 61–61. 4 indexed citations
5.
Guo, Xiangyu, A.C. Sørensen, Mark Henryon, & Tage Ostersen. (2022). 777. Piglet Survival is lowly heritable in DanBred Landrace pigs. 3200–3202. 1 indexed citations
6.
Li, Yating, et al.. (2022). Cross-talk between NOTCH2 and BMP4/SMAD signaling pathways in bovine follicular granulosa cells. Theriogenology. 187. 74–81. 4 indexed citations
7.
Zhang, Hailiang, Hanpeng Luo, Zikang Chen, et al.. (2022). Genetic analyses of blood β-hydroxybutyrate predicted from milk infrared spectra and its association with longevity and female reproductive traits in Holstein cattle. Journal of Dairy Science. 105(4). 3269–3281. 13 indexed citations
8.
9.
Li, Yating, Jiongjie Jing, Qi Han, et al.. (2021). Effects of Notch2 on proliferation, apoptosis and steroidogenesis in bovine luteinized granulosa cells. Theriogenology. 171. 55–63. 8 indexed citations
10.
Zhang, Hailiang, Aoxing Liu, Yachun Wang, et al.. (2021). Genetic Parameters and Genome-Wide Association Studies of Eight Longevity Traits Representing Either Full or Partial Lifespan in Chinese Holsteins. Frontiers in Genetics. 12. 634986–634986. 23 indexed citations
11.
Guo, Xiangyu, et al.. (2021). Random Regression Model for Genetic Evaluation and Early Selection in the Iranian Holstein Population. Animals. 11(12). 3492–3492. 4 indexed citations
12.
Han, Qi, Xiangyu Guo, Jiongjie Jing, et al.. (2020). Effects of FOXO1 on the proliferation and cell cycle-, apoptosis- and steroidogenesis-related genes expression in sheep granulosa cells. Animal Reproduction Science. 221. 106604–106604. 11 indexed citations
13.
Guo, Xiangyu, Fabio Cericola, Morten Greve Pedersen, et al.. (2018). Genomic Prediction in Tetraploid Ryegrass Using Allele Frequencies Based on Genotyping by Sequencing. Frontiers in Plant Science. 9. 1165–1165. 29 indexed citations
14.
15.
Guo, Xiangyu, Ole Fredslund Christensen, Tage Ostersen, et al.. (2016). Genomic prediction using models with dominance and imprinting effects for backfat thickness and average daily gain in Danish Duroc pigs. Genetics Selection Evolution. 48(1). 67–67. 25 indexed citations
16.
Guo, Xiangyu, Guosheng Su, Ole Fredslund Christensen, Luc Janss, & Mogens Sandø Lund. (2016). Genome-wide association analyses using a Bayesian approach for litter size and piglet mortality in Danish Landrace and Yorkshire pigs. BMC Genomics. 17(1). 468–468. 34 indexed citations
17.
Wang, Hong, Tao Tan, Junfeng Wang, et al.. (2015). Rhesus monkey model of liver disease reflecting clinical disease progression and hepatic gene expression analysis. Scientific Reports. 5(1). 15019–15019. 15 indexed citations
18.
Guo, Xiangyu. (2014). Improving Genetic Evaluation of Litter Size Using a Single-step Model. 1 indexed citations
19.
Guo, Gang, Xiangyu Guo, Yachun Wang, et al.. (2014). Estimation of genetic parameters of fertility traits in Chinese Holstein cattle. BioOne Complete (BioOne). 11 indexed citations
20.
Liu, X., et al.. (2012). Novel single nucleotide polymorphisms of the bovine methyltransferase 3b gene and their association with meat quality traits in beef cattle. Genetics and Molecular Research. 11(3). 2569–2577. 9 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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2026