Meiyun Tan

39 total papers · 561 total citations
23 papers, 399 citations indexed

About

Meiyun Tan is a scholar working on Surgery, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Meiyun Tan has authored 23 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 7 papers in Genetics and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Meiyun Tan's work include Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (7 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Meiyun Tan is often cited by papers focused on Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (7 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Meiyun Tan collaborates with scholars based in China, Hong Kong and United States. Meiyun Tan's co-authors include Xiuqun Li, Xiaohe Chen, Huiqi Xie, Yong‐Can Huang, Xiaobo Lu, Li Deng, Ge Chen, Zhong Li, Li Deng and Bo Tan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cancer Letters.

In The Last Decade

Meiyun Tan

21 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Meiyun Tan	201	118	108	107	73	23	399
Peter Nimiritsky	124 0.6×	117 1.0×	58 0.5×	152 1.4×	42 0.6×	15	372
Sara Shamdani	113 0.6×	124 1.1×	57 0.5×	88 0.8×	53 0.7×	15	338
Lipi Shukla	181 0.9×	98 0.8×	42 0.4×	137 1.3×	37 0.5×	18	391
Karis R. Tang-Quan	199 1.0×	124 1.1×	82 0.8×	209 2.0×	35 0.5×	12	399
Margarita Ecay	217 1.1×	104 0.9×	127 1.2×	215 2.0×	23 0.3×	17	443
Tereza Kubíková	107 0.5×	71 0.6×	88 0.8×	79 0.7×	47 0.6×	26	407
Georgy Sagaradze	128 0.6×	189 1.6×	32 0.3×	194 1.8×	67 0.9×	21	425
Jae Min Lim	131 0.7×	225 1.9×	105 1.0×	109 1.0×	32 0.4×	21	437
Mahsa Sani	121 0.6×	105 0.9×	75 0.7×	89 0.8×	28 0.4×	34	393
Vishwanath Bhattacharya	200 1.0×	200 1.7×	122 1.1×	76 0.7×	32 0.4×	17	416

Countries citing papers authored by Meiyun Tan

Since Specialization

Citations

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

Fields of papers citing papers by Meiyun Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyun Tan

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