Shangli Shi

586 total citations
14 papers, 403 citations indexed

About

Shangli Shi is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Shangli Shi has authored 14 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 2 papers in Agronomy and Crop Science and 1 paper in Molecular Biology. Recurrent topics in Shangli Shi's work include Plant Stress Responses and Tolerance (8 papers), Plant responses to water stress (6 papers) and Allelopathy and phytotoxic interactions (5 papers). Shangli Shi is often cited by papers focused on Plant Stress Responses and Tolerance (8 papers), Plant responses to water stress (6 papers) and Allelopathy and phytotoxic interactions (5 papers). Shangli Shi collaborates with scholars based in China, Israel and Australia. Shangli Shi's co-authors include Cuimei Zhang, Guoli Yin, Fan Yang, Zhen Liu, Baowen Wang, Junfeng Zhao, Ming Zhu, Wenjuan Wang, Yangying Sun and Jianfeng Li and has published in prestigious journals such as Frontiers in Microbiology, Frontiers in Plant Science and Journal of Plant Physiology.

In The Last Decade

Shangli Shi

13 papers receiving 395 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shangli Shi 342 96 40 25 20 14 403
Ilara Gabriela Frasson Budzinski 483 1.4× 190 2.0× 35 0.9× 38 1.5× 20 1.0× 18 577
Sonya Afrin 429 1.3× 77 0.8× 26 0.7× 23 0.9× 14 0.7× 9 457
Wattana Pattanagul 540 1.6× 102 1.1× 28 0.7× 22 0.9× 32 1.6× 20 595
Ahmed Qaddoury 502 1.5× 98 1.0× 44 1.1× 29 1.2× 44 2.2× 38 529
Naijie Feng 517 1.5× 147 1.5× 29 0.7× 23 0.9× 20 1.0× 56 604
Ece Turhan 626 1.8× 110 1.1× 21 0.5× 23 0.9× 27 1.4× 45 679
В. В. Таланова 389 1.1× 120 1.3× 40 1.0× 10 0.4× 17 0.8× 48 440
Yahong Zhang 230 0.7× 99 1.0× 23 0.6× 34 1.4× 11 0.6× 27 314
Rup Kumar Kar 494 1.4× 150 1.6× 26 0.7× 15 0.6× 24 1.2× 47 554
M. Shanthi Priya 426 1.2× 99 1.0× 39 1.0× 28 1.1× 14 0.7× 35 468

Countries citing papers authored by Shangli Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shangli Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangli Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shangli Shi. A scholar is included among the top collaborators of Shangli 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 Shangli Shi. Shangli Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
3.
Fang, Jing, et al.. (2023). Analysis of Phenotypic and Physiological Characteristics of Plant Height Difference in Alfalfa. Agronomy. 13(7). 1744–1744. 11 indexed citations
5.
Shi, Shangli, et al.. (2023). Study on the Key Autotoxic Substances of Alfalfa and Their Effects. Plants. 12(18). 3263–3263. 4 indexed citations
7.
Wu, Fang, Shangli Shi, Yuzhu Li, et al.. (2021). Physiological and biochemical response of different resistant alfalfa cultivars against thrips damage. Physiology and Molecular Biology of Plants. 27(3). 649–663. 14 indexed citations
8.
Zhang, Xiaoyan, Shangli Shi, Xiaolong Li, et al.. (2021). Effects of Autotoxicity on Alfalfa (Medicago sativa): Seed Germination, Oxidative Damage and Lipid Peroxidation of Seedlings. Agronomy. 11(6). 1027–1027. 17 indexed citations
10.
Shi, Shangli, et al.. (2021). Exogenous melatonin ameliorates salinity-induced oxidative stress and improves photosynthetic capacity in sweet corn seedlings. Photosynthetica. 59(2). 327–336. 31 indexed citations
11.
Zhang, Cuimei, Shangli Shi, Zhen Liu, Fan Yang, & Guoli Yin. (2018). Drought tolerance in alfalfa (Medicago sativa L.) varieties is associated with enhanced antioxidative protection and declined lipid peroxidation. Journal of Plant Physiology. 232. 226–240. 114 indexed citations
12.
Zhang, Cuimei & Shangli Shi. (2018). Physiological and Proteomic Responses of Contrasting Alfalfa (Medicago sativa L.) Varieties to PEG-Induced Osmotic Stress. Frontiers in Plant Science. 9. 242–242. 100 indexed citations
13.
Zhang, Cuimei, Shangli Shi, Baowen Wang, & Junfeng Zhao. (2018). Physiological and biochemical changes in different drought-tolerant alfalfa (Medicago sativa L.) varieties under PEG-induced drought stress. Acta Physiologiae Plantarum. 40(2). 47 indexed citations
14.
Li, Jianfeng, et al.. (2010). Mutational approach for N2-fixing and P-solubilizing mutant strains of Klebsiella pneumoniae RSN19 by microwave mutagenesis. World Journal of Microbiology and Biotechnology. 27(6). 1481–1489. 12 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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