Caiyong Yu

27 total papers · 684 total citations
21 papers, 522 citations indexed

About

Caiyong Yu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Caiyong Yu has authored 21 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 4 papers in Neurology. Recurrent topics in Caiyong Yu's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Spinal Cord Injury Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Caiyong Yu is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Spinal Cord Injury Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Caiyong Yu collaborates with scholars based in China, Hong Kong and United Kingdom. Caiyong Yu's co-authors include Gong Ju, Ganlan Bian, Ling Liu, Jian Wang, Qian Xue, Bing Song, Jingjing Zheng, Fangfang Liu, Liang Tang and Cheng Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Caiyong Yu

20 papers receiving 520 citations

Author Peers

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

Author Last Decade Papers Cites
Caiyong Yu 207 131 107 92 88 21 522
Ganlan Bian 199 1.0× 129 1.0× 108 1.0× 73 0.8× 73 0.8× 19 500
Lohith Madireddy 271 1.3× 145 1.1× 97 0.9× 92 1.0× 122 1.4× 15 591
Yuriy Pomeshchik 260 1.3× 171 1.3× 110 1.0× 70 0.8× 71 0.8× 25 597
Jiangshan Zhan 200 1.0× 220 1.7× 96 0.9× 123 1.3× 145 1.6× 24 529
Camilla Reali 206 1.0× 159 1.2× 141 1.3× 101 1.1× 119 1.4× 16 601
Sighild Lemarchant 148 0.7× 148 1.1× 106 1.0× 47 0.5× 44 0.5× 21 506
Sandra Heine 193 0.9× 158 1.2× 92 0.9× 115 1.3× 164 1.9× 13 539
Karelle Bénardais 122 0.6× 167 1.3× 95 0.9× 95 1.0× 128 1.5× 16 462
Junli Liu 201 1.0× 172 1.3× 78 0.7× 108 1.2× 50 0.6× 31 590
Maria L. Elkjaer 183 0.9× 104 0.8× 87 0.8× 161 1.8× 51 0.6× 28 452

Countries citing papers authored by Caiyong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Caiyong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caiyong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Caiyong Yu. A scholar is included among the top collaborators of Caiyong Yu 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 Caiyong Yu. Caiyong Yu 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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