Zhipeng Sha

1.0k total citations
39 papers, 664 citations indexed

About

Zhipeng Sha is a scholar working on Soil Science, Plant Science and Environmental Chemistry. According to data from OpenAlex, Zhipeng Sha has authored 39 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Soil Science, 15 papers in Plant Science and 12 papers in Environmental Chemistry. Recurrent topics in Zhipeng Sha's work include Soil Carbon and Nitrogen Dynamics (24 papers), Soil and Water Nutrient Dynamics (10 papers) and Plant nutrient uptake and metabolism (9 papers). Zhipeng Sha is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (24 papers), Soil and Water Nutrient Dynamics (10 papers) and Plant nutrient uptake and metabolism (9 papers). Zhipeng Sha collaborates with scholars based in China, United Kingdom and Australia. Zhipeng Sha's co-authors include Xuejun Liu, T. H. Misselbrook, Tiantian Lv, Qianqian Li, Jingxia Wang, K. W. T. Goulding, Wen Xu, Aohan Tang, Shouguo Li and Nadine Loick and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Zhipeng Sha

35 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhipeng Sha China 16 373 187 159 109 105 39 664
Alison Carswell United Kingdom 18 449 1.2× 173 0.9× 240 1.5× 105 1.0× 159 1.5× 30 755
Qinhua Shen New Zealand 8 478 1.3× 191 1.0× 120 0.8× 86 0.8× 103 1.0× 11 713
Benjuan Liu China 11 619 1.7× 244 1.3× 158 1.0× 111 1.0× 168 1.6× 15 890
Zhaoqiang Han China 17 612 1.6× 258 1.4× 196 1.2× 105 1.0× 181 1.7× 34 1.0k
Chinmaya Kumar Swain India 16 365 1.0× 354 1.9× 108 0.7× 84 0.8× 121 1.2× 39 902
Natalia Rogovska United States 11 526 1.4× 229 1.2× 80 0.5× 86 0.8× 85 0.8× 24 869
Baobao Pan Australia 9 440 1.2× 270 1.4× 235 1.5× 129 1.2× 97 0.9× 16 754
Yasukazu Hosen Japan 17 410 1.1× 324 1.7× 236 1.5× 76 0.7× 116 1.1× 26 839
Prem Pokharel Canada 15 488 1.3× 196 1.0× 102 0.6× 79 0.7× 145 1.4× 19 792
Mufan Zeng Netherlands 8 463 1.2× 299 1.6× 128 0.8× 50 0.5× 85 0.8× 8 784

Countries citing papers authored by Zhipeng Sha

Since Specialization
Citations

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

Fields of papers citing papers by Zhipeng Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhipeng Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Zhipeng Sha. A scholar is included among the top collaborators of Zhipeng Sha 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 Zhipeng Sha. Zhipeng Sha 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.
Sha, Zhipeng, et al.. (2025). Response of reactive nitrogen losses and nitrogen fate in the soil-crop system to intercropping regimes. Field Crops Research. 326. 109870–109870. 1 indexed citations
2.
Sha, Zhipeng, et al.. (2025). The fate of nitrogen derived from green manure and its influence on crop N agronomic performance. European Journal of Agronomy. 168. 127646–127646.
3.
Song, Simon, et al.. (2025). Are dual inhibitors superior to urease or nitrification inhibitors for mitigating environmental risk and enhancing agronomic efficiency?. Agriculture Ecosystems & Environment. 392. 109752–109752.
4.
5.
Li, Shouguo, et al.. (2025). Nitrification inhibition promotes phosphorus availability for crops and lowers CO2 and N2O emissions. Environmental Technology & Innovation. 39. 104332–104332.
6.
Sha, Zhipeng, et al.. (2025). Responses of soil reactive nitrogen losses and nitrogen pools to straw mulching. Soil and Tillage Research. 250. 106499–106499. 2 indexed citations
7.
Xu, Bing, et al.. (2024). Green manuring alters reactive N losses and N pools in arable soils: A meta-regression study. The Science of The Total Environment. 934. 173256–173256. 6 indexed citations
8.
Sha, Zhipeng, et al.. (2023). Mitigation of reactive nitrogen loss from arable soils through microbial inoculant application: A meta-analysis. Soil and Tillage Research. 235. 105883–105883. 16 indexed citations
9.
Zhang, Yuyang, et al.. (2023). Field application of microbial inoculants improved crop foliar morphology and physiology performance: A global meta-analysis. Scientia Horticulturae. 326. 112769–112769. 6 indexed citations
10.
Sha, Zhipeng, et al.. (2023). Ammonia loss potential and mitigation options in a wheat-maize rotation system in the North China Plain: A data synthesis and field evaluation. Agriculture Ecosystems & Environment. 352. 108512–108512. 16 indexed citations
11.
Wang, Jingxia, Zhipeng Sha, Jinrui Zhang, et al.. (2023). Improving nitrogen fertilizer use efficiency and minimizing losses and global warming potential by optimizing applications and using nitrogen synergists in a maize-wheat rotation. Agriculture Ecosystems & Environment. 353. 108538–108538. 29 indexed citations
12.
Li, Yunzhe, Zhipeng Sha, Aohan Tang, K. W. T. Goulding, & Xuejun Liu. (2023). The application of machine learning to air pollution research: A bibliometric analysis. Ecotoxicology and Environmental Safety. 257. 114911–114911. 27 indexed citations
13.
Zhang, Yuyang, et al.. (2023). A Meta-Analysis Study on the Use of Biochar to Simultaneously Mitigate Emissions of Reactive Nitrogen Gases (N2O and NO) from Soils. Sustainability. 15(3). 2384–2384. 10 indexed citations
14.
Gu, Lipeng, et al.. (2023). Suitable biochar application practices simultaneously alleviate N2O and NH3 emissions from arable soils: A meta-analysis study. Environmental Research. 242. 117750–117750. 10 indexed citations
15.
Sha, Zhipeng, et al.. (2023). Crop-specific ammonia volatilization rates and key influencing factors in the upland of China - A data synthesis. Journal of Environmental Management. 336. 117676–117676. 19 indexed citations
16.
Wang, Jingxia, Zhipeng Sha, Jinrui Zhang, et al.. (2022). Reactive N emissions from cropland and their mitigation in the North China Plain. Environmental Research. 214(Pt 3). 114015–114015. 15 indexed citations
17.
Sha, Zhipeng, et al.. (2021). Improved soil-crop system management aids in NH3 emission mitigation in China. Environmental Pollution. 289. 117844–117844. 59 indexed citations
18.
Sha, Zhipeng, Qianqian Li, Tiantian Lv, T. H. Misselbrook, & Xuejun Liu. (2018). Response of ammonia volatilization to biochar addition: A meta-analysis. The Science of The Total Environment. 655. 1387–1396. 139 indexed citations
19.
Sha, Zhipeng, et al.. (2016). Emergy assessment of three home courtyard agriculture production systems in Tibet Autonomous Region, China. Journal of Zhejiang University SCIENCE B. 17(8). 628–639. 11 indexed citations
20.
Duan, Jing, et al.. (2014). Weeds biodiversity and maize growth in agro-pastoral integration system.. SHILAP Revista de lepidopterología. 40(6). 638–646. 2 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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