Su‐Ming Hsu

20 total papers · 738 total citations
19 papers, 640 citations indexed

About

Su‐Ming Hsu is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Su‐Ming Hsu has authored 19 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Biomedical Engineering and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Su‐Ming Hsu's work include Microfluidic and Capillary Electrophoresis Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Su‐Ming Hsu is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Su‐Ming Hsu collaborates with scholars based in Taiwan, United States and Norway. Su‐Ming Hsu's co-authors include Shiming Lin, Ming Yao, Ruey‐Long Hong, Hwei‐Fang Tien, Yao‐Chang Chen, Jih‐Luh Tang, Chi‐Cheng Li, Ih‐Jen Su, Long-Sun Huang and Shih-Yuan Lee and has published in prestigious journals such as The Journal of Physiology, Cancer and Analytical Biochemistry.

In The Last Decade

Su‐Ming Hsu

19 papers receiving 621 citations

Author Peers

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

Author Last Decade Papers Cites
Su‐Ming Hsu 200 156 146 134 130 19 640
Ryan M. Burke 248 1.2× 34 0.2× 142 1.0× 79 0.6× 42 0.3× 21 722
I R Katz 295 1.5× 30 0.2× 22 0.2× 87 0.6× 142 1.1× 21 653
Jerome R. Kuszak 404 2.0× 42 0.3× 54 0.4× 314 2.3× 21 0.2× 14 768
Jens Schröder 239 1.2× 14 0.1× 150 1.0× 125 0.9× 200 1.5× 15 780
Monika Burg‐Roderfeld 412 2.1× 20 0.1× 130 0.9× 39 0.3× 83 0.6× 26 709
Christelle Gérard 283 1.4× 25 0.2× 36 0.2× 85 0.6× 46 0.4× 14 656
Judith Lechner 200 1.0× 27 0.2× 54 0.4× 158 1.2× 137 1.1× 21 627
Robert O’Donnell 208 1.0× 40 0.3× 15 0.1× 109 0.8× 296 2.3× 29 708
Y. Nozawa 333 1.7× 47 0.3× 90 0.6× 34 0.3× 60 0.5× 29 773
Swee Eng Aw 238 1.2× 14 0.1× 60 0.4× 139 1.0× 52 0.4× 36 686

Countries citing papers authored by Su‐Ming Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Ming Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Ming Hsu. 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 Su‐Ming Hsu. The network helps show where Su‐Ming Hsu may publish in the future.

Co-authorship network of co-authors of Su‐Ming Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Ming Hsu. A scholar is included among the top collaborators of Su‐Ming Hsu 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 Su‐Ming Hsu. Su‐Ming Hsu 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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