Shan Yu

1.0k total citations
25 papers, 752 citations indexed

About

Shan Yu is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Shan Yu has authored 25 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Molecular Biology and 7 papers in Soil Science. Recurrent topics in Shan Yu's work include Soil Carbon and Nitrogen Dynamics (7 papers), Insect Resistance and Genetics (6 papers) and Phosphorus and nutrient management (5 papers). Shan Yu is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (7 papers), Insect Resistance and Genetics (6 papers) and Phosphorus and nutrient management (5 papers). Shan Yu collaborates with scholars based in China, United States and United Kingdom. Shan Yu's co-authors include Yanfang Feng, Lihong Xue, Linzhang Yang, Qingnan Chu, Qingye Sun, Pengfu Hou, Baoshan Xing, Yidong Wu, Yihua Yang and Gang Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Science of The Total Environment.

In The Last Decade

Shan Yu

25 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Yu China 14 223 210 162 151 120 25 752
Wenying Zhu China 16 306 1.4× 266 1.3× 109 0.7× 120 0.8× 82 0.7× 36 1.2k
Xiaoxiao Shi China 15 193 0.9× 87 0.4× 118 0.7× 42 0.3× 113 0.9× 67 770
Yilin Kong China 18 105 0.5× 173 0.8× 720 4.4× 69 0.5× 375 3.1× 48 1.2k
Gabriella Papa Italy 19 318 1.4× 124 0.6× 40 0.2× 607 4.0× 55 0.5× 37 992
Stefan Abel Germany 11 138 0.6× 323 1.5× 395 2.4× 102 0.7× 101 0.8× 25 981
Susan V. Diehl United States 16 52 0.2× 351 1.7× 31 0.2× 47 0.3× 34 0.3× 52 714
Yiqi Wu China 20 228 1.0× 55 0.3× 323 2.0× 110 0.7× 179 1.5× 50 1.1k
Leiyi Zhang China 16 174 0.8× 194 0.9× 456 2.8× 43 0.3× 51 0.4× 39 942
Shuai Xu China 18 122 0.5× 234 1.1× 67 0.4× 112 0.7× 34 0.3× 43 730

Countries citing papers authored by Shan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Yu. A scholar is included among the top collaborators of Shan Yu 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 Shan Yu. Shan Yu 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.
Yu, Shan, Shuai Li, Jing Li, et al.. (2025). Ferritin From Striped Stem Borer (Chilo suppressalis) Oral Secretion Acts as an Effector Helping to Maintain Iron Homoeostasis and Impair Defenses in Rice. Plant Cell & Environment. 48(5). 3735–3749. 2 indexed citations
2.
Li, Shuai, Jie Li, Jing Li, et al.. (2025). An Insect Effector Mimics Its Host Immune Regulator to Undermine Plant Immunity. Advanced Science. 12(11). e2409186–e2409186. 3 indexed citations
3.
Shen, Chen, Shan Yu, Zhengping Yu, et al.. (2024). Infestation of Rice Striped Stem Borer (Chilo suppressalis) Larvae Induces Emission of Volatile Organic Compounds in Rice and Repels Female Adult Oviposition. International Journal of Molecular Sciences. 25(16). 8827–8827. 2 indexed citations
4.
Yu, Shan, Lei Gong, Lei Yang, et al.. (2024). Oral secretions from striped stem borer (Chilo suppressalis) induce defenses in rice. Pest Management Science. 80(12). 6437–6449. 5 indexed citations
5.
Yu, Shan, et al.. (2023). Mechanisms of feeding cessation in Helicoverpa armigera larvae exposed to Bacillus thuringiensis Cry1Ac toxin. Pesticide Biochemistry and Physiology. 195. 105565–105565. 1 indexed citations
7.
Xu, Cong, et al.. (2021). Water-washed hydrochar in rice paddy soil reduces N2O and CH4 emissions: A whole growth period investigation. Environmental Pollution. 274. 116573–116573. 26 indexed citations
8.
Zhang, Jie, Yun Ding, Shan Yu, et al.. (2021). Different Fertilizers Applied Alter Fungal Community Structure in Rhizospheric Soil of Cassava (Manihot esculenta Crantz) and Increase Crop Yield. Frontiers in Microbiology. 12. 663781–663781. 13 indexed citations
9.
Chen, Han, Pengfu Hou, Lihong Xue, et al.. (2021). [Effects of Wheat Straw Hydrochar and Its Modified Product on Rice Yield and Ammonia Volatilization from Paddy Fields].. PubMed. 42(7). 3451–3457. 1 indexed citations
10.
Chu, Qingnan, Lihong Xue, Yang Liu, et al.. (2020). Microalgae-derived hydrochar application on rice paddy soil: Higher rice yield but increased gaseous nitrogen loss. The Science of The Total Environment. 717. 137127–137127. 61 indexed citations
11.
Hou, Pengfu, Yanfang Feng, Evangelos Petropoulos, et al.. (2020). Win-win: Application of sawdust-derived hydrochar in low fertility soil improves rice yield and reduces greenhouse gas emissions from agricultural ecosystems. The Science of The Total Environment. 748. 142457–142457. 50 indexed citations
12.
Chu, Qingnan, Lihong Xue, Yang Liu, et al.. (2020). Bentonite hydrochar composites mitigate ammonia volatilization from paddy soil and improve nitrogen use efficiency. The Science of The Total Environment. 718. 137301–137301. 57 indexed citations
13.
Yu, Shan, Lihong Xue, Detian Li, et al.. (2020). [Effect of Applying Hydrochar for Reduction of Ammonia Volatilization and Mechanisms in Paddy Soil].. PubMed. 41(2). 922–931. 4 indexed citations
14.
Yu, Shan, Lihong Xue, Yanfang Feng, et al.. (2020). Hydrochar reduced NH3 volatilization from rice paddy soil: Microbial-aging rather than water-washing is recommended before application. Journal of Cleaner Production. 268. 122233–122233. 49 indexed citations
15.
Chu, Qingnan, Lihong Xue, Bhupinder Pal Singh, et al.. (2019). Sewage sludge-derived hydrochar that inhibits ammonia volatilization, improves soil nitrogen retention and rice nitrogen utilization. Chemosphere. 245. 125558–125558. 63 indexed citations
16.
Yu, Shan, Yanfang Feng, Lihong Xue, et al.. (2019). Biowaste to treasure: Application of microbial-aged hydrochar in rice paddy could improve nitrogen use efficiency and rice grain free amino acids. Journal of Cleaner Production. 240. 118180–118180. 69 indexed citations
17.
Zhang, Haonan, Shan Yu, Yu Shi, et al.. (2017). Intra- and extracellular domains of the Helicoverpa armigera cadherin mediate Cry1Ac cytotoxicity. Insect Biochemistry and Molecular Biology. 86. 41–49. 19 indexed citations
18.
Guan, Fuqin, Haiting Wang, Shan Yu, et al.. (2014). Inhibition of COX-2 and PGE2 in LPS-stimulated RAW264.7 cells by lonimacranthoide VI, a chlorogenic acid ester saponin. Biomedical Reports. 2(5). 760–764. 30 indexed citations
19.
Li, Bin, et al.. (2009). First Report on Bacterial Heart Rot of Garlic Caused by Pseudomonas fluorescens in China. The Plant Pathology Journal. 25(1). 91–94. 9 indexed citations
20.
Yu, Shan. (2001). GENOTYPIC DIFFERENCES OF NITROGEN USE EFFICIENCY IN VARIOUS TYPES OF INDICA RICE ( Oryza sativa L.). 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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