Guo Yang

496 total citations
23 papers, 393 citations indexed

About

Guo Yang is a scholar working on Agronomy and Crop Science, Genetics and Plant Science. According to data from OpenAlex, Guo Yang has authored 23 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 7 papers in Genetics and 7 papers in Plant Science. Recurrent topics in Guo Yang's work include Ruminant Nutrition and Digestive Physiology (12 papers), Reproductive Physiology in Livestock (9 papers) and Genetic and phenotypic traits in livestock (7 papers). Guo Yang is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (12 papers), Reproductive Physiology in Livestock (9 papers) and Genetic and phenotypic traits in livestock (7 papers). Guo Yang collaborates with scholars based in China, Israel and United States. Guo Yang's co-authors include A. Allan Degen, Jianwei Zhou, Ruijun Long, Yubao Zhang, Ruoyu Wang, Zhanhuan Shang, Yajun Wang, Zhihong Guo, Xusheng Guo and Qiang Qiu and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Gene.

In The Last Decade

Guo Yang

23 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo Yang China 13 182 142 78 77 45 23 393
Xiao Dan Huang China 8 367 2.0× 75 0.5× 63 0.8× 104 1.4× 22 0.5× 12 479
S.L.S. Cabral Filho Brazil 10 281 1.5× 93 0.7× 35 0.4× 42 0.5× 16 0.4× 31 397
Alfredo Borba Portugal 12 332 1.8× 93 0.7× 71 0.9× 62 0.8× 24 0.5× 51 535
M. Fernández Spain 10 386 2.1× 73 0.5× 76 1.0× 66 0.9× 23 0.5× 16 481
B. P. Berg Canada 6 326 1.8× 133 0.9× 48 0.6× 82 1.1× 25 0.6× 9 437
Bingwen Si China 13 308 1.7× 129 0.9× 57 0.7× 123 1.6× 15 0.3× 24 518
B. Hatew Netherlands 14 418 2.3× 98 0.7× 86 1.1× 76 1.0× 35 0.8× 23 568
Qichao Wu China 12 121 0.7× 140 1.0× 54 0.7× 119 1.5× 47 1.0× 35 387
Laurent Broudiscou France 15 377 2.1× 55 0.4× 82 1.1× 65 0.8× 35 0.8× 23 493

Countries citing papers authored by Guo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Yang. A scholar is included among the top collaborators of Guo 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 Guo Yang. Guo 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
1.
Yang, Guo, Juncang Tian, & Zhi Wang. (2025). Composition and functional diversity of soil and water microbial communities in the rice-crab symbiosis system. PLoS ONE. 20(1). e0316815–e0316815. 1 indexed citations
2.
Wu, Xiukun, Gaosen Zhang, Wei Zhang, et al.. (2024). Rumen microbiota helps Tibetan sheep obtain energy more efficiently to survive in the extreme environment of the Qinghai–Tibet Plateau. Frontiers in Microbiology. 15. 1431063–1431063. 6 indexed citations
3.
Degen, A. Allan, Yanping Liang, Xiukun Wu, et al.. (2023). Effects of supplementary thyme on immunity responses, antioxidant indices, rumen enzymes concentrations and rumen bacteria composition in Hu sheep. Animal Feed Science and Technology. 306. 115828–115828. 2 indexed citations
4.
Liu, Hu, Lizhuang Hao, Xu‐Liang Cao, et al.. (2023). Effects of supplementary concentrate and/or rumen-protected lysine plus methionine on productive performance, milk composition, rumen fermentation, and bacterial population in Grazing, Lactating Yaks. Animal Feed Science and Technology. 297. 115591–115591. 11 indexed citations
5.
Liang, Yanping, et al.. (2023). Effect of grape pomace supplement on growth performance, gastrointestinal microbiota, and methane production in Tan lambs. Frontiers in Microbiology. 14. 1264840–1264840. 12 indexed citations
6.
Guo, Tao, et al.. (2021). Changes in the Fermentation and Bacterial Community by Artificial Saliva pH in RUSITEC System. Frontiers in Nutrition. 8. 760316–760316. 11 indexed citations
7.
8.
9.
Zhou, Jianwei, Hu Liu, A. Allan Degen, et al.. (2019). Protective Effect of Resveratrol Improves Systemic Inflammation Responses in LPS-Injected Lambs. Animals. 9(11). 872–872. 24 indexed citations
10.
Zhou, Jian, A. Allan Degen, Evan C. Titgemeyer, et al.. (2019). Tibetan sheep require less energy intake than small-tailed Han sheep for N balance when offered a low protein diet. Animal Feed Science and Technology. 248. 85–94. 22 indexed citations
11.
Zhou, Jianwei, Xiaoping Jing, A. Allan Degen, et al.. (2018). Effect of level of oat hay intake on apparent digestibility, rumen fermentation and urinary purine derivatives in Tibetan and fine-wool sheep. Animal Feed Science and Technology. 241. 112–120. 21 indexed citations
12.
Wang, Le, Zhihong Guo, Yubao Zhang, et al.. (2017). Overexpression of LhSorNPR1, a NPR1-like gene from the oriental hybrid lily ‘Sorbonne’, conferred enhanced resistance to Pseudomonas syringae pv. tomato DC3000 in Arabidopsis. Physiology and Molecular Biology of Plants. 23(4). 793–808. 14 indexed citations
13.
Zhang, Yubao, Yajun Wang, Zhongkui Xie, et al.. (2017). Simultaneous detection of three lily viruses using Triplex IC-RT-PCR. Journal of Virological Methods. 249. 69–75. 16 indexed citations
14.
Guo, Zhihong, Yubao Zhang, Yajun Wang, et al.. (2017). Characterization of LhSorP5CS, a gene catalyzing proline synthesis in Oriental hybrid lily Sorbonne: molecular modelling and expression analysis. Botanical studies. 58(1). 10–10. 14 indexed citations
15.
Wang, Le, Zhihong Guo, Yubao Zhang, et al.. (2017). Characterization of LhSorTGA2, a novel TGA2-like protein that interacts with LhSorNPR1 in oriental hybrid lily Sorbonne. Botanical studies. 58(1). 46–46. 18 indexed citations
16.
Zhou, Jianwei, A. Allan Degen, Evan C. Titgemeyer, et al.. (2017). Comparison of nitrogen utilization and urea kinetics between yaks (Bos grunniens) and indigenous cattle (Bos taurus)1. Journal of Animal Science. 95(10). 4600–4612. 46 indexed citations
17.
18.
Shang, Qianhan, Guo Yang, Yun Wang, et al.. (2016). Illumina-based analysis of the rhizosphere microbial communities associated with healthy and wilted Lanzhou lily (Lilium davidii var. unicolor) plants grown in the field. World Journal of Microbiology and Biotechnology. 32(6). 95–95. 53 indexed citations
19.
Yang, Guo, Huitong Zhou, Ruoyu Wang, & Jon G. H. Hickford. (2015). Variation in the ovine PRKAG3 gene. Gene. 567(2). 251–254. 3 indexed citations
20.
Yang, Guo, Huitong Zhou, Jiang Hu, Yuzhu Luo, & Jon G. H. Hickford. (2011). Variation in the Yak Dectin-1 Gene ( CLEC7A ). DNA and Cell Biology. 30(12). 1069–1071. 3 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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