Caiyun Mu

28 total papers · 1.3k total citations
25 papers, 1.1k citations indexed

About

Caiyun Mu is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Caiyun Mu has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 9 papers in Biomaterials and 5 papers in Surgery. Recurrent topics in Caiyun Mu's work include Bone Tissue Engineering Materials (19 papers), Graphene and Nanomaterials Applications (7 papers) and Nanoplatforms for cancer theranostics (5 papers). Caiyun Mu is often cited by papers focused on Bone Tissue Engineering Materials (19 papers), Graphene and Nanomaterials Applications (7 papers) and Nanoplatforms for cancer theranostics (5 papers). Caiyun Mu collaborates with scholars based in China, Russia and United States. Caiyun Mu's co-authors include Kaiyong Cai, Xinkun Shen, Bailong Tao, Ye He, Yuan Zhang, Yonglin Yu, Peng Liu, Yan Hu, Kui Xu and Liangliang Dai and has published in prestigious journals such as Biomaterials, ACS Applied Materials & Interfaces and Acta Biomaterialia.

In The Last Decade

Caiyun Mu

25 papers receiving 1.1k citations

Hit Papers

Remote eradication of bio... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Caiyun Mu 843 337 240 198 181 25 1.1k
Yizhou Zhu 830 1.0× 378 1.1× 276 1.1× 244 1.2× 214 1.2× 44 1.5k
M. Giazzon 529 0.6× 190 0.6× 140 0.6× 117 0.6× 337 1.9× 17 1.4k
Yulu Yang 657 0.8× 296 0.9× 275 1.1× 101 0.5× 194 1.1× 38 1.1k
Xinyuan Xu 626 0.7× 189 0.6× 437 1.8× 123 0.6× 245 1.4× 61 1.4k
Jinlong Shao 588 0.7× 186 0.6× 409 1.7× 145 0.7× 134 0.7× 48 1.3k
Yuzheng Wu 626 0.7× 292 0.9× 194 0.8× 219 1.1× 161 0.9× 43 1.3k
Rahul Madathiparambil Visalakshan 655 0.8× 204 0.6× 345 1.4× 173 0.9× 291 1.6× 35 1.3k
Michiel Croes 509 0.6× 119 0.4× 156 0.7× 324 1.6× 273 1.5× 26 1.1k
Theresa M. Raimondo 590 0.7× 177 0.5× 158 0.7× 233 1.2× 462 2.6× 15 1.3k
Xiaoxiang Ren 780 0.9× 141 0.4× 316 1.3× 134 0.7× 358 2.0× 36 1.3k

Countries citing papers authored by Caiyun Mu

Since Specialization
Citations

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

Fields of papers citing papers by Caiyun Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caiyun Mu

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