Meng‐Si Wu

40 total papers · 548 total citations
27 papers, 447 citations indexed

About

Meng‐Si Wu is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Meng‐Si Wu has authored 27 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 9 papers in Biomedical Engineering. Recurrent topics in Meng‐Si Wu's work include Reconstructive Surgery and Microvascular Techniques (9 papers), Nanoplatforms for cancer theranostics (8 papers) and Photodynamic Therapy Research Studies (7 papers). Meng‐Si Wu is often cited by papers focused on Reconstructive Surgery and Microvascular Techniques (9 papers), Nanoplatforms for cancer theranostics (8 papers) and Photodynamic Therapy Research Studies (7 papers). Meng‐Si Wu collaborates with scholars based in China, Taiwan and United States. Meng‐Si Wu's co-authors include Xiaogang Li, Weian Zhang, Yudong Xue, Minbo Lan, Jia Tian, Chao Chen, Jonathan W. Engle, Honda Hsu, Tianye Cao and Qianjun He and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Chemical Engineering Journal.

In The Last Decade

Meng‐Si Wu

25 papers receiving 440 citations

Author Peers

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

Author						Papers	Cites
Meng‐Si Wu	242	183	162	67	52	27	447
Kun Xu	191 0.8×	102 0.6×	121 0.7×	31 0.5×	127 2.4×	19	473
Fengyong Liu	322 1.3×	153 0.8×	91 0.6×	43 0.6×	115 2.2×	34	552
Shuning Chen	246 1.0×	84 0.5×	62 0.4×	59 0.9×	64 1.2×	26	510
Marcelo Muñoz	167 0.7×	113 0.6×	101 0.6×	56 0.8×	145 2.8×	22	453
Meijun Tan	241 1.0×	110 0.6×	66 0.4×	42 0.6×	99 1.9×	16	443
Yunmei Huang	165 0.7×	111 0.6×	79 0.5×	16 0.2×	128 2.5×	38	449
Lingyun Zou	311 1.3×	133 0.7×	73 0.5×	17 0.3×	109 2.1×	20	500
Klaudia Dynarowicz	244 1.0×	71 0.4×	197 1.2×	31 0.5×	59 1.1×	40	409
Xiaoyan Li	277 1.1×	94 0.5×	56 0.3×	28 0.4×	98 1.9×	25	455
Chunping Zhu	163 0.7×	80 0.4×	31 0.2×	53 0.8×	88 1.7×	30	462

Countries citing papers authored by Meng‐Si Wu

Since Specialization

Citations

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

Fields of papers citing papers by Meng‐Si Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Si Wu. 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 Meng‐Si Wu. The network helps show where Meng‐Si Wu may publish in the future.

Co-authorship network of co-authors of Meng‐Si Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Si Wu. A scholar is included among the top collaborators of Meng‐Si Wu 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 Meng‐Si Wu. Meng‐Si Wu 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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