Meiyuan Li

19 total papers · 516 total citations
16 papers, 274 citations indexed

About

Meiyuan Li is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biomaterials. According to data from OpenAlex, Meiyuan Li has authored 16 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Biomaterials. Recurrent topics in Meiyuan Li's work include Nerve injury and regeneration (12 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Meiyuan Li is often cited by papers focused on Nerve injury and regeneration (12 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Meiyuan Li collaborates with scholars based in China and Philippines. Meiyuan Li's co-authors include Xiaosong Gu, Dengbing Yao, Hongkui Wang, Weimin Guo, Dingding Shen, Shibi Lu, Fei Ding, Leilei Gong, Chengbin Xue and Tianmei Qian and has published in prestigious journals such as Glia, BMC Genomics and Industrial Crops and Products.

In The Last Decade

Meiyuan Li

16 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Meiyuan Li 165 112 56 50 44 16 274
Gonghai Han 192 1.2× 57 0.5× 88 1.6× 58 1.2× 45 1.0× 10 326
M. Simon 200 1.2× 137 1.2× 41 0.7× 40 0.8× 20 0.5× 13 325
Aline Barroso Spejo 167 1.0× 62 0.6× 77 1.4× 21 0.4× 25 0.6× 13 323
Shengyou Li 107 0.6× 97 0.9× 52 0.9× 52 1.0× 17 0.4× 20 288
Ge Long 119 0.7× 107 1.0× 37 0.7× 37 0.7× 42 1.0× 14 282
Gustavo Ferreira Simões 71 0.4× 66 0.6× 75 1.3× 27 0.5× 22 0.5× 20 296
Gabriela Bortolança Chiarotto 77 0.5× 79 0.7× 37 0.7× 29 0.6× 31 0.7× 26 317
Rebecca Wiberg 162 1.0× 59 0.5× 119 2.1× 29 0.6× 27 0.6× 15 279
John Barry 84 0.5× 92 0.8× 67 1.2× 32 0.6× 13 0.3× 12 305
Dominique R. Smith 168 1.0× 52 0.5× 36 0.6× 22 0.4× 13 0.3× 13 260

Countries citing papers authored by Meiyuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Meiyuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyuan Li

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

All Works

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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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