Shuzhen Song

651 total citations · 1 hit paper
26 papers, 423 citations indexed

About

Shuzhen Song is a scholar working on Soil Science, Ecology and Management, Monitoring, Policy and Law. According to data from OpenAlex, Shuzhen Song has authored 26 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Soil Science, 9 papers in Ecology and 9 papers in Management, Monitoring, Policy and Law. Recurrent topics in Shuzhen Song's work include Soil Carbon and Nitrogen Dynamics (10 papers), Rangeland Management and Livestock Ecology (9 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Shuzhen Song is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (10 papers), Rangeland Management and Livestock Ecology (9 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Shuzhen Song collaborates with scholars based in China, United States and Australia. Shuzhen Song's co-authors include Yongkuan Chi, Kangning Xiong, Xueling Wang, Lang Xia, Jian Wu, Anum Ali Ahmad, Cailian Wang, Yan Zhao, Xixi Yao and Lijuan Chen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Frontiers in Microbiology.

In The Last Decade

Shuzhen Song

24 papers receiving 417 citations

Hit Papers

Important soil microbiota's effects on plants and soils: ... 2024 2026 2025 2024 10 20 30 40
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. Important soil microbiota's effects on plants and soils: a comprehensive 30-year systematic literature review
    2024 45 citations Xueling Wang, Yongkuan Chi et al. Frontiers in Microbiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuzhen Song China 12 135 119 100 100 87 26 423
Jingwei Shi China 15 199 1.5× 224 1.9× 70 0.7× 136 1.4× 94 1.1× 26 617
Dong Kuan-hu China 13 140 1.0× 204 1.7× 82 0.8× 168 1.7× 24 0.3× 57 452
P. D’Ottavio Italy 12 81 0.6× 132 1.1× 81 0.8× 87 0.9× 44 0.5× 38 375
Marta M. Kohmann United States 11 125 0.9× 196 1.6× 210 2.1× 96 1.0× 39 0.4× 38 457
Fuhong Miao China 12 146 1.1× 212 1.8× 76 0.8× 277 2.8× 54 0.6× 23 595
Ronaldo Vibart New Zealand 14 160 1.2× 107 0.9× 243 2.4× 49 0.5× 32 0.4× 55 505
Caitlin A. Peterson United States 11 232 1.7× 191 1.6× 131 1.3× 136 1.4× 55 0.6× 18 633
F. González Mexico 7 67 0.5× 102 0.9× 40 0.4× 39 0.4× 69 0.8× 18 307
Mireia Llorente Spain 9 176 1.3× 208 1.7× 88 0.9× 52 0.5× 20 0.2× 15 419

Countries citing papers authored by Shuzhen Song

Since Specialization
Citations

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

Fields of papers citing papers by Shuzhen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuzhen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shuzhen Song. A scholar is included among the top collaborators of Shuzhen Song 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 Shuzhen Song. Shuzhen Song 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.
Song, Shuzhen, Kaiming Ren, Wei Zhang, & Peng Song. (2025). Biochar and microorganisms combined enhance crop growth and soil properties: Evidence from meta-analysis. Agricultural Water Management. 321. 109908–109908.
2.
Wang, Xueling, Yongkuan Chi, & Shuzhen Song. (2024). Important soil microbiota's effects on plants and soils: a comprehensive 30-year systematic literature review. Frontiers in Microbiology. 15. 1347745–1347745. 45 indexed citations breakdown →
3.
Xiong, Kangning, et al.. (2024). Improving grassland ecosystem services for human wellbeing in the karst desertification control area: Anthropogenic factors become more important. The Science of The Total Environment. 946. 174199–174199. 22 indexed citations
4.
Song, Shuzhen, Xingyan Chen, Yuehua Song, & Yongkuan Chi. (2024). Vegetation Restoration Patterns Influence the Supply and Interrelations of Grassland Ecosystem Services in Karst Desertification Control. Land. 13(12). 2023–2023. 4 indexed citations
5.
Li, Yongyao, et al.. (2024). Realizing the value of grassland ecosystem services: global practice and its inspiration for the karst desertification control area. Frontiers in Sustainable Food Systems. 7. 3 indexed citations
6.
Song, Shuzhen, et al.. (2023). Genome-wide DNA methylation analysis reveals different methylation patterns in Chinese indigenous sheep with different type of tail. Frontiers in Veterinary Science. 10. 1125262–1125262. 6 indexed citations
7.
Song, Shuzhen, et al.. (2023). Using Ecological Stoichimetric Characteristies to Inform Grassland Management in the Karst Desertification Area. Agronomy. 13(7). 1841–1841. 3 indexed citations
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Chi, Yongkuan, Shuzhen Song, & Kangning Xiong. (2023). Effects of different grassland use patterns on soil bacterial communities in the karst desertification areas. Frontiers in Microbiology. 14. 1208971–1208971. 11 indexed citations
11.
Song, Shuzhen, et al.. (2023). Effects of Utilization Methods on C, N, P Rate and Enzyme Activity of Artificial Grassland in Karst Desertification Area. Agronomy. 13(5). 1368–1368. 9 indexed citations
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Song, Shuzhen, Kangning Xiong, & Yongkuan Chi. (2023). Response of grassland ecosystem function to plant functional traits under different vegetation restoration models in areas of karst desertification. Frontiers in Plant Science. 14. 4 indexed citations
15.
Song, Shuzhen, et al.. (2022). Effect of Cultivated Pastures on Soil Bacterial Communities in the Karst Rocky Desertification Area. Frontiers in Microbiology. 13. 922989–922989. 26 indexed citations
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Xiong, Kangning, et al.. (2022). Effects of Landscape Type Change on Spatial and Temporal Evolution of Ecological Assets in a Karst Plateau-Mountain Area. International Journal of Environmental Research and Public Health. 19(8). 4477–4477. 7 indexed citations
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19.
Zhou, Rui, Jian Wu, Liping Zhang, et al.. (2019). Effects of oregano essential oil on the ruminal pH and microbial population of sheep. PLoS ONE. 14(5). e0217054–e0217054. 40 indexed citations
20.
Wu, Jian, et al.. (2018). PSXV-23 The effect of Bacillus subtilis or Ehinacea on growth performance, meat quality and immune indexes in lambs.. Journal of Animal Science. 96(suppl_3). 473–474. 1 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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