Jau-Ye Shiu

28 total papers · 1.4k total citations
18 papers, 1.2k citations indexed

About

Jau-Ye Shiu is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films and Molecular Biology. According to data from OpenAlex, Jau-Ye Shiu has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Surfaces, Coatings and Films and 4 papers in Molecular Biology. Recurrent topics in Jau-Ye Shiu's work include Surface Modification and Superhydrophobicity (5 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Cellular Mechanics and Interactions (3 papers). Jau-Ye Shiu is often cited by papers focused on Surface Modification and Superhydrophobicity (5 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Cellular Mechanics and Interactions (3 papers). Jau-Ye Shiu collaborates with scholars based in Taiwan, Switzerland and United States. Jau-Ye Shiu's co-authors include Peilin Chen, Chun-Wen Kuo, Chung‐Yuan Mou, Viola Vogel, Zhang Lin, Wha‐Tzong Whang, Gábor A. Somorjai, Yu‐Sheng Hsiao, Chih‐Ping Chen and Chiung‐Wen Kuo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.

In The Last Decade

Jau-Ye Shiu

18 papers receiving 1.1k citations

Hit Papers

Fabrication of Tunable Su... 2004 2026 2011 2018 2004 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jau-Ye Shiu 484 479 265 189 166 18 1.2k
F. Brétagnol 432 0.9× 591 1.2× 317 1.2× 179 0.9× 116 0.7× 34 1.1k
Rajendra R. Bhat 546 1.1× 443 0.9× 323 1.2× 185 1.0× 71 0.4× 16 1.1k
Kristian Rechendorff 435 0.9× 639 1.3× 210 0.8× 260 1.4× 109 0.7× 31 1.4k
K. Y. Suh 241 0.5× 816 1.7× 333 1.3× 314 1.7× 196 1.2× 30 1.4k
F. Brochard‐Wyart 484 1.0× 348 0.7× 265 1.0× 271 1.4× 96 0.6× 29 1.3k
Larry Wilen 445 0.9× 363 0.8× 151 0.6× 173 0.9× 295 1.8× 17 1.2k
Shaojun Jiang 432 0.9× 443 0.9× 249 0.9× 114 0.6× 142 0.9× 40 1.3k
Pascal de Boer 281 0.6× 201 0.4× 116 0.4× 205 1.1× 113 0.7× 22 1.3k
Stefania D’Amone 313 0.6× 456 1.0× 180 0.7× 194 1.0× 102 0.6× 38 985
Susan M. De Paul 446 0.9× 308 0.6× 194 0.7× 219 1.2× 155 0.9× 14 1.1k

Countries citing papers authored by Jau-Ye Shiu

Since Specialization
Citations

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

Fields of papers citing papers by Jau-Ye Shiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jau-Ye Shiu. 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 Jau-Ye Shiu. The network helps show where Jau-Ye Shiu may publish in the future.

Co-authorship network of co-authors of Jau-Ye Shiu

This figure shows the co-authorship network connecting the top 25 collaborators of Jau-Ye Shiu. A scholar is included among the top collaborators of Jau-Ye Shiu 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 Jau-Ye Shiu. Jau-Ye Shiu 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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