Shiying Li

1.9k total citations
30 papers, 930 citations indexed

About

Shiying Li is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Shiying Li has authored 30 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 10 papers in Developmental Neuroscience. Recurrent topics in Shiying Li's work include Nerve injury and regeneration (18 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Axon Guidance and Neuronal Signaling (8 papers). Shiying Li is often cited by papers focused on Nerve injury and regeneration (18 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Axon Guidance and Neuronal Signaling (8 papers). Shiying Li collaborates with scholars based in China, Germany and Philippines. Shiying Li's co-authors include Xiaosong Gu, Sheng Yi, Tianmei Qian, Qianqian Chen, Xinghui Wang, Yun Gu, Yongjun Wang, Qianyan Liu, Leilei Gong and Fei Ding and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Shiying Li

29 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiying Li China 18 515 405 196 194 89 30 930
Tianmei Qian China 20 631 1.2× 575 1.4× 186 0.9× 409 2.1× 83 0.9× 39 1.2k
Jose A. Gomez‐Sanchez Spain 14 581 1.1× 337 0.8× 258 1.3× 55 0.3× 89 1.0× 24 912
Toby A. Ferguson United States 16 650 1.3× 382 0.9× 217 1.1× 78 0.4× 78 0.9× 32 1.2k
Lingxiao Deng United States 19 357 0.7× 312 0.8× 148 0.8× 85 0.4× 65 0.7× 42 939
Xin‐Peng Dun United Kingdom 22 762 1.5× 471 1.2× 255 1.3× 45 0.2× 94 1.1× 38 1.2k
Christine A. Webber Canada 21 961 1.9× 503 1.2× 308 1.6× 76 0.4× 141 1.6× 35 1.3k
Sara Ribeiro United Kingdom 8 633 1.2× 301 0.7× 297 1.5× 54 0.3× 93 1.0× 9 1.1k
Susanne Quintes Germany 11 744 1.4× 500 1.2× 358 1.8× 60 0.3× 107 1.2× 14 1.2k
Xianhu Zhou China 16 333 0.6× 297 0.7× 140 0.7× 88 0.5× 42 0.5× 32 1.1k
Philippa M. Warren United Kingdom 13 614 1.2× 356 0.9× 218 1.1× 60 0.3× 35 0.4× 20 1.3k

Countries citing papers authored by Shiying Li

Since Specialization
Citations

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

Fields of papers citing papers by Shiying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shiying Li. A scholar is included among the top collaborators of Shiying Li 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 Shiying Li. Shiying Li 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, Shiying, et al.. (2024). Influence of Livelihood Capitals on Landscape Service Cognition and Behavioral Intentions in Rural Heritage Sites. Land. 13(11). 1770–1770. 1 indexed citations
2.
Li, Shiying, et al.. (2024). Tau Isoform-Regulated Schwann Cell Proliferation and Migration Improve Peripheral Nerve Regeneration After Injury. International Journal of Molecular Sciences. 25(22). 12352–12352.
3.
Li, Shiying, et al.. (2023). How Do Spatial Forms Influence Psychophysical Drivers in a Campus City Community Life Circle?. Sustainability. 15(13). 10014–10014. 16 indexed citations
4.
Su, Yijing, Yi Zhou, Mariko L. Bennett, et al.. (2022). A single-cell transcriptome atlas of glial diversity in the human hippocampus across the postnatal lifespan. Cell stem cell. 29(11). 1594–1610.e8. 32 indexed citations
5.
Li, Shiying, Qianqian Chen, Qianyan Liu, et al.. (2022). Potential application of let-7a antagomir in injured peripheral nerve regeneration. Neural Regeneration Research. 18(7). 1584–1584. 12 indexed citations
6.
Yi, Sheng, et al.. (2020). Biological characteristics of dynamic expression of nerve regeneration related growth factors in dorsal root ganglia after peripheral nerve injury. Neural Regeneration Research. 15(8). 1502–1502. 21 indexed citations
7.
Li, Shiying, et al.. (2020). Looking at nerves, seeing the mind: Yu-Chuan Tsang as a modern Chinese physiological psychologist. Protein & Cell. 12(11). 825–831. 1 indexed citations
8.
Yang, Xiaoming, et al.. (2019). EphA4 Negatively Regulates Myelination by Inhibiting Schwann Cell Differentiation in the Peripheral Nervous System. Frontiers in Neuroscience. 13. 1191–1191. 17 indexed citations
9.
Yi, Sheng, Qianyan Liu, Xinghui Wang, et al.. (2019). Tau modulates Schwann cell proliferation, migration and differentiation following peripheral nerve injury. Journal of Cell Science. 132(6). 44 indexed citations
10.
Zhu, Hui, Chengbin Xue, Min Yao, et al.. (2018). miR-129 controls axonal regeneration via regulating insulin-like growth factor-1 in peripheral nerve injury. Cell Death and Disease. 9(7). 720–720. 42 indexed citations
11.
12.
Liu, Bin, Jinxia Zhang, Jing Sun, et al.. (2017). Effects of eldepryl on glial cell proliferation and activation in the substantia nigra and striatum in a rat model of Parkinson’s disease. Neurological Research. 39(5). 459–467. 4 indexed citations
13.
Wang, Hongkui, Hui Zhu, Qi Guo, et al.. (2017). Overlapping Mechanisms of Peripheral Nerve Regeneration and Angiogenesis Following Sciatic Nerve Transection. Frontiers in Cellular Neuroscience. 11. 323–323. 57 indexed citations
14.
Yi, Sheng, Ying Yuan, Qianqian Chen, et al.. (2016). Regulation of Schwann cell proliferation and migration by miR-1 targeting brain-derived neurotrophic factor after peripheral nerve injury. Scientific Reports. 6(1). 29121–29121. 94 indexed citations
15.
Li, Shiying, Ying Yuan, Sheng Yi, et al.. (2016). MiR-340 Regulates Fibrinolysis and Axon Regrowth Following Sciatic Nerve Injury. Molecular Neurobiology. 54(6). 4379–4389. 55 indexed citations
16.
Gu, Yun, Chu Chen, Sheng Yi, et al.. (2015). miR-sc8 Inhibits Schwann Cell Proliferation and Migration by Targeting Egfr. PLoS ONE. 10(12). e0145185–e0145185. 26 indexed citations
17.
Gong, Leilei, Qianqian Chen, Xiaosong Gu, & Shiying Li. (2015). Expression and identification of olfactory receptors in sciatic nerve and dorsal root ganglia of rats. Neuroscience Letters. 600. 171–175. 6 indexed citations
18.
Li, Shiying, Chengbin Xue, Ying Yuan, et al.. (2015). The transcriptional landscape of dorsal root ganglia after sciatic nerve transection. Scientific Reports. 5(1). 16888–16888. 57 indexed citations
19.
Li, Shiying, Xinghui Wang, Yun Gu, et al.. (2014). Let-7 microRNAs Regenerate Peripheral Nerve Regeneration by Targeting Nerve Growth Factor. Molecular Therapy. 23(3). 423–433. 115 indexed citations
20.
Li, Shiying, Bin Yu, Shanshan Wang, et al.. (2011). Identification and functional analysis of novel micro‐rnas in rat dorsal root ganglia after sciatic nerve resection. Journal of Neuroscience Research. 90(4). 791–801. 15 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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