Yu Shi

15.8k total citations · 8 hit papers
222 papers, 10.2k citations indexed

About

Yu Shi is a scholar working on Ecology, Plant Science and Soil Science. According to data from OpenAlex, Yu Shi has authored 222 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Ecology, 72 papers in Plant Science and 64 papers in Soil Science. Recurrent topics in Yu Shi's work include Microbial Community Ecology and Physiology (71 papers), Soil Carbon and Nitrogen Dynamics (45 papers) and Gut microbiota and health (38 papers). Yu Shi is often cited by papers focused on Microbial Community Ecology and Physiology (71 papers), Soil Carbon and Nitrogen Dynamics (45 papers) and Gut microbiota and health (38 papers). Yu Shi collaborates with scholars based in China, United States and United Kingdom. Yu Shi's co-authors include Haiyan Chu, Jonathan M. Adams, Jin He, Zhenwen Yu, Teng Yang, Xin Jing, Kunkun Fan, Kaoping Zhang, Litong Chen and Maoxian He and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Yu Shi

207 papers receiving 10.1k citations

Hit Papers

Tunable lifetime multiplexing using luminescent nanocrystals 2013 2026 2017 2021 2013 2015 2014 2018 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Shi China 51 4.0k 3.2k 3.2k 2.5k 979 222 10.2k
Xavier Le Roux France 60 3.5k 0.9× 3.9k 1.2× 3.2k 1.0× 1.3k 0.5× 3.2k 3.3× 340 13.6k
Xinhua He China 60 1.9k 0.5× 5.9k 1.8× 5.1k 1.6× 940 0.4× 1.1k 1.1× 357 12.1k
Makoto Kimura Japan 58 3.0k 0.8× 5.4k 1.7× 2.1k 0.6× 4.9k 1.9× 917 0.9× 577 14.1k
Deqiang Zhang China 60 2.0k 0.5× 3.7k 1.1× 3.3k 1.0× 2.9k 1.1× 2.4k 2.4× 476 15.4k
D. W. Hopkins United Kingdom 50 4.0k 1.0× 1.9k 0.6× 4.3k 1.4× 1.4k 0.5× 841 0.9× 203 10.0k
Jennifer Pett‐Ridge United States 53 4.2k 1.1× 2.6k 0.8× 3.2k 1.0× 1.7k 0.7× 518 0.5× 158 8.9k
Anders Tunlid Sweden 41 2.6k 0.7× 3.1k 0.9× 2.7k 0.9× 1.4k 0.6× 387 0.4× 89 8.0k
Bryan S. Griffiths United Kingdom 60 4.5k 1.1× 6.2k 1.9× 5.9k 1.9× 2.2k 0.9× 641 0.7× 243 13.3k
Steven K. Schmidt United States 64 8.6k 2.2× 3.6k 1.1× 5.3k 1.7× 2.8k 1.1× 1.6k 1.6× 240 16.4k
Nico M. van Straalen Netherlands 61 4.1k 1.0× 3.6k 1.1× 2.3k 0.7× 1.6k 0.6× 1.0k 1.1× 329 16.1k

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shi. A scholar is included among the top collaborators of Yu Shi 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 Yu Shi. Yu Shi 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.
Nie, Zhijuan, Xiaotong Xu, Yi Sun, et al.. (2025). Rice-fish co-culture improves carp (Cyprinus carpio) quality by modulating the gut microbiota and metabolites. Aquaculture. 607. 742659–742659. 1 indexed citations
2.
Yuan, X., Xiaotong Zhu, Yu Shi, et al.. (2025). Soil microbiomes in degraded grasslands: Assembly, function, and application. SHILAP Revista de lepidopterología. 4(4). 352–365. 1 indexed citations
3.
Zhou, Lifeng, Yige Zhao, Bernhard Schmid, et al.. (2025). Genetic variation in leaf chemistry driven by herbivory affects phyllosphere fungal communities in an invasive plant. Journal of Plant Ecology. 18(5). 1 indexed citations
4.
Jiang, Gaofei, Yuling Zhang, Min Chen, et al.. (2024). Effects of plant tissue permeability on invasion and population bottlenecks of a phytopathogen. Nature Communications. 15(1). 62–62. 6 indexed citations
5.
He, Maoxian, et al.. (2024). Proteomics of the shell matrix proteins and functional analysis of Am13 and AmKaSPI from the shell of Archivesica marissinica. International Journal of Biological Macromolecules. 288. 138767–138767.
6.
Xing, Zhenlong, Zhongyue Zhang, Yige Zhao, et al.. (2024). Foliar herbivory‐enhanced mycorrhization is associated with increased levels of lipids in root and root exudates. Journal of Ecology. 112(4). 701–716. 11 indexed citations
7.
Zhu, Renbin, et al.. (2023). Effects of coal-fired power plants on soil microbial diversity and community structures. Journal of Environmental Sciences. 137. 206–223. 8 indexed citations
8.
Liu, Xu, Yu Shi, Teng Yang, Gui‐Feng Gao, & Haiyan Chu. (2023). QCMI: A method for quantifying putative biotic associations of microbes at the community level. SHILAP Revista de lepidopterología. 2(2). e92–e92. 11 indexed citations
9.
Li, Qiang, Zhaoliang Song, Shaopan Xia, et al.. (2023). Substrate quality overrides soil salinity in mediating microbial respiration in coastal wetlands. Land Degradation and Development. 34(15). 4546–4560. 8 indexed citations
11.
Gao, Gui‐Feng, Huan Li, Yu Shi, et al.. (2022). Continental‐scale plant invasions reshuffle the soil microbiome of blue carbon ecosystems. Global Change Biology. 28(14). 4423–4438. 38 indexed citations
12.
Chen, Litong, Lin Jiang, Xin Jing, et al.. (2021). Above‐ and belowground biodiversity jointly drive ecosystem stability in natural alpine grasslands on the Tibetan Plateau. Global Ecology and Biogeography. 30(7). 1418–1429. 67 indexed citations
13.
Jing, Xin, Case M. Prager, Litong Chen, et al.. (2021). The influence of aboveground and belowground species composition on spatial turnover in nutrient pools in alpine grasslands. Global Ecology and Biogeography. 31(3). 486–500. 17 indexed citations
14.
Ma, Xi, et al.. (2019). Astragalus polysaccharide improves anti-tumor immunity mediated by macrophages and natural killer cells in mice. Zhonghua weishengwuxue he mianyixue zazhi. 39(4). 292–297. 2 indexed citations
15.
Zhao, Jun, et al.. (2019). [Effects of water-fertilizer integration on water use and photosynthetic characteristics of winter wheat].. PubMed. 30(4). 1170–1178. 2 indexed citations
16.
Liang, Yaosi, Ding Xu, Yu Wang, et al.. (2018). Identification and functional characterization of Toll-like receptor 13 from orange-spotted grouper (Epinephelus coioides). Fish & Shellfish Immunology. 74. 309–317. 28 indexed citations
17.
Jing, Xin, Nathan J. Sanders, Yu Shi, et al.. (2015). The links between ecosystem multifunctionality and above- and belowground biodiversity are mediated by climate. Nature Communications. 6(1). 8159–8159. 644 indexed citations breakdown →
18.
Shi, Yu, et al.. (2015). Depth of nitrogen fertiliser placement affects nitrogen accumulation, translocation and nitrate-nitrogen content in soil of rainfed wheat. International Journal of Plant Production. 9(2). 237–256. 16 indexed citations
19.
20.
Shi, Yu. (2000). Neolithic Cultural Interruptions and Holocene Buried Palaeo-Trees in the Yangtze Delta. 5 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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