Yu San Wu

13 total papers · 416 total citations
12 papers, 358 citations indexed

About

Yu San Wu is a scholar working on Pharmaceutical Science, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yu San Wu has authored 12 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmaceutical Science, 4 papers in Electrical and Electronic Engineering and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yu San Wu's work include Drug Solubulity and Delivery Systems (5 papers), Organic Electronics and Photovoltaics (4 papers) and Fullerene Chemistry and Applications (1 paper). Yu San Wu is often cited by papers focused on Drug Solubulity and Delivery Systems (5 papers), Organic Electronics and Photovoltaics (4 papers) and Fullerene Chemistry and Applications (1 paper). Yu San Wu collaborates with scholars based in Netherlands, Germany and Italy. Yu San Wu's co-authors include Henderik W. Frijlink, Petra Rudolf, Lucas J. van Vliet, Kees van der Voort Maarschalk, Kamal Asadi, Fatemeh Gholamrezaie, Paul W. M. Blom, Salvatore Iannotta, T. Toccoli and Norbert Koch and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Chemical Communications.

In The Last Decade

Yu San Wu

12 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Yu San Wu 171 88 77 61 61 12 358
J. S. Papanu 93 0.5× 82 0.9× 25 0.3× 24 0.4× 97 1.6× 16 348
Cengiz Birlikseven 85 0.5× 51 0.6× 23 0.3× 41 0.7× 95 1.6× 17 365
Min Yang 44 0.3× 121 1.4× 102 1.3× 11 0.2× 75 1.2× 19 372
Irene Zimmermann 31 0.2× 45 0.5× 51 0.7× 41 0.7× 61 1.0× 16 340
Kalyana C. Pingali 75 0.4× 146 1.7× 111 1.4× 8 0.1× 78 1.3× 24 368
Max Kolb 35 0.2× 116 1.3× 40 0.5× 28 0.5× 71 1.2× 18 373
Mikhail Kozlov 36 0.2× 66 0.8× 15 0.2× 45 0.7× 124 2.0× 11 352
Kaori Jono 48 0.3× 68 0.8× 55 0.7× 11 0.2× 42 0.7× 22 328
Marie Pigeon 65 0.4× 100 1.1× 9 0.1× 61 1.0× 59 1.0× 8 368
Jie Chen 24 0.1× 51 0.6× 63 0.8× 15 0.2× 57 0.9× 18 356

Countries citing papers authored by Yu San Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yu San Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu San Wu

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