Lingling Shi

1.8k total citations
58 papers, 974 citations indexed

About

Lingling Shi is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lingling Shi has authored 58 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Plant Science and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lingling Shi's work include Plant biochemistry and biosynthesis (7 papers), Pluripotent Stem Cells Research (5 papers) and Lipid metabolism and biosynthesis (5 papers). Lingling Shi is often cited by papers focused on Plant biochemistry and biosynthesis (7 papers), Pluripotent Stem Cells Research (5 papers) and Lipid metabolism and biosynthesis (5 papers). Lingling Shi collaborates with scholars based in China, United States and Hong Kong. Lingling Shi's co-authors include Yujun Liu, Kai Wang, Liyun Zeng, Steven G. Blanchard, Silvia Y. Moya-Camarena, Libing Zhou, Peilin Zhang, Martha A. Belury, Lisa M. Leesnitzer and Ming Lu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lingling Shi

52 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Shi China 18 481 147 145 117 94 58 974
Paweł Kołodziejski Poland 23 472 1.0× 109 0.7× 159 1.1× 237 2.0× 134 1.4× 125 2.0k
Jyoti Parkash India 21 544 1.1× 99 0.7× 168 1.2× 183 1.6× 58 0.6× 62 2.0k
Jiaqi Sun China 18 758 1.6× 113 0.8× 153 1.1× 278 2.4× 66 0.7× 66 1.3k
Chengkang Zhang United States 18 544 1.1× 332 2.3× 204 1.4× 160 1.4× 72 0.8× 33 1.5k
Chen Taiwan 16 376 0.8× 406 2.8× 75 0.5× 75 0.6× 113 1.2× 215 1.3k
Hu China 12 481 1.0× 176 1.2× 64 0.4× 151 1.3× 52 0.6× 103 1.2k
Wenbo Yu China 25 728 1.5× 133 0.9× 74 0.5× 218 1.9× 54 0.6× 82 1.6k
Lin Xiao China 23 631 1.3× 49 0.3× 105 0.7× 311 2.7× 49 0.5× 60 1.8k
Meng‐Ling Chen China 23 640 1.3× 170 1.2× 88 0.6× 411 3.5× 68 0.7× 90 1.7k
Madalena Martins Portugal 15 587 1.2× 401 2.7× 208 1.4× 77 0.7× 85 0.9× 22 1.1k

Countries citing papers authored by Lingling Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Shi. A scholar is included among the top collaborators of Lingling 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 Lingling Shi. Lingling 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.
Li, Jining, et al.. (2025). A Hybrid Intelligent Model for Deformation/Strain/Stress Analyses of Sandwich Double Curved Piezoelectric Shells. International Journal of Structural Stability and Dynamics. 3 indexed citations
2.
Yang, Fengzhen, Yajie Wang, Lingling Shi, et al.. (2024). Stress increases hepatic release of lipocalin 2 which contributes to anxiety-like behavior in mice. Nature Communications. 15(1). 3034–3034. 28 indexed citations
3.
Jiang, Yunbo, et al.. (2024). Selenium promotes neural development through the regulation of GPX4 and SEPP1 in an iPSC-derived neuronal model. Biomaterials. 316. 123011–123011. 7 indexed citations
5.
Chen, Feng, Lingling Shi, Jing Wang, et al.. (2024). Revelation of enzyme/transporter-mediated metabolic regulatory model for high-quality terpene accumulation in developing fruits of Lindera glauca. International Journal of Biological Macromolecules. 264(Pt 2). 130763–130763. 1 indexed citations
6.
Shen, Cheng, Jing Li, Lingling Shi, et al.. (2023). Identification of Hub Genes for Colorectal Cancer with Liver Metastasis Using miRNA-mRNA Network. Disease Markers. 2023. 1–14. 3 indexed citations
7.
Wei, Ji‐an, Siqi Wang, Fengwei Zhang, et al.. (2023). A gut-brain axis mediates sodium appetite via gastrointestinal peptide regulation on a medulla-hypothalamic circuit. Science Advances. 9(7). eadd5330–eadd5330. 15 indexed citations
8.
Chen, Yalan, et al.. (2023). Multiple factors to assist human-derived induced pluripotent stem cells to efficiently differentiate into midbrain dopaminergic neurons. Neural Regeneration Research. 19(4). 908–914. 5 indexed citations
10.
Chen, Feng, Hongjuan Wang, Lingling Shi, et al.. (2023). Evaluation of oil accumulation and biodiesel property of Lindera glauca fruits among different germplasms and revelation of high oil producing mechanism for developing biodiesel. SHILAP Revista de lepidopterología. 16(1). 14–14. 3 indexed citations
11.
Shi, Lingling, et al.. (2023). A pan-cancer analysis of anti-proliferative protein family genes for therapeutic targets in cancer. Scientific Reports. 13(1). 21607–21607. 4 indexed citations
12.
Sun, Jing, Dandan Sun, Xinxin Cao, et al.. (2022). Structural characterization of polysaccharides recovered from extraction residue of ginseng root saponins and its fruit nutrition preservation performance. Frontiers in Nutrition. 9. 934927–934927. 15 indexed citations
13.
So, Kwok‐Fai, et al.. (2020). Human adipose tissue- and umbilical cord-derived stem cells: which is a better alternative to treat spinal cord injury?. Neural Regeneration Research. 15(12). 2306–2306. 20 indexed citations
14.
Shi, Lingling, Zengqiang Gao, Tianyi Zhang, H. Zhang, & Yuhui Dong. (2019). Crystal structure of the type VI immunity protein Tdi1 (Atu4351) from Agrobacterium tumefaciens. Acta Crystallographica Section F Structural Biology Communications. 75(3). 153–158. 2 indexed citations
15.
Zhang, Wei, Tao Liu, Lingling Shi, et al.. (2019). Wheel Running Improves Motor Function and Spinal Cord Plasticity in Mice With Genetic Absence of the Corticospinal Tract. Frontiers in Cellular Neuroscience. 13. 106–106. 16 indexed citations
17.
Zhou, Chaoyang, Lingling Shi, Bin Ye, et al.. (2016). pheS * , an effective host-genotype-independent counter-selectable marker for marker-free chromosome deletion in Bacillus amyloliquefaciens. Applied Microbiology and Biotechnology. 101(1). 217–227. 40 indexed citations
18.
Chang, Xiao, Lingling Shi, Fan Gao, et al.. (2013). Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas. Neurosurgical FOCUS. 35(6). E3–E3. 19 indexed citations
19.
Shi, Lingling, et al.. (2011). Ziziphus mucronata: an underutilized traditional medicinal plant in Africa. Forestry Studies in China. 13(3). 163–172. 16 indexed citations
20.
Shi, Lingling, Wang Li, Yanxia Zhang, & Yujun Liu. (2007). Approaches to biosynthesis of salidroside and its key metabolic enzymes. Forestry Studies in China. 9(4). 295–299. 8 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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