Shing‐Yi Suen

95 papers receiving 2.6k citations

Peers

Shing‐Yi Suen
Comparison fields: 5 of 111
  • Water Science and Technology 923
  • Surfaces, Coatings and Films 182
  • Analytical Chemistry 203
  • Biomaterials 261
  • Organic Chemistry 485
Replace Marcos H. Kunita with:
Marcos H. Kunita Brazil
Jianming Pan China
Yuyang Tian China
Siew Chun Low Malaysia
Mahendra Kumar Saudi Arabia
Hossein Mahdavi Iran
Xiaohui Dai China
Liangrong Yang China
Jong Suk Lee South Korea
Simcha Srebnik Israel
Shing‐Yi Suen relative to Marcos H. Kunita Brazil Marcos H. Kunita's profile →
Citations per field
00.5×3.9×
Marcos H. Kunita · 1×
Citations per year

Countries citing papers authored by Shing‐Yi Suen

Since Specialization
Citations

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

Fields of papers citing papers by Shing‐Yi Suen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shing‐Yi Suen. 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 Shing‐Yi Suen. The network helps show where Shing‐Yi Suen may publish in the future.

Co-authors

The 25 scholars most cited alongside Shing‐Yi Suen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shing‐Yi Suen Line = papers co-authored together Shing‐Yi Suen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007314
2 2007245
3 1992155
4 2012125
5 201186
6 200382
7 200374
8 201470
9 200865
10 199459
11 201157
12 201753
13 200944
14 200542
15 201338
16 199636
17 201535
18 199332
19 200732
20 200931

About Shing‐Yi Suen

Shing‐Yi Suen is a scholar working on Molecular Biology, Biomedical Engineering, Mechanical Engineering, Water Science and Technology and Organic Chemistry, having authored 97 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein purification and stability (31 papers), Membrane-based Ion Separation Techniques (12 papers), Membrane Separation Technologies (12 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Membrane Separation and Gas Transport (11 papers), Polymer Surface Interaction Studies (8 papers), Extraction and Separation Processes (7 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Water Science and Technology (923 citations), Surfaces, Coatings and Films (182 citations), Analytical Chemistry (203 citations), Biomaterials (261 citations) and Organic Chemistry (485 citations). Shing‐Yi Suen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chia-Hung Liu, Mark R. Etzel, Khim Hoong Chu, Shenghong A. Dai, Hung‐Chuan Chiu, Jianmin Wu, Ka Hou Chu, Yung‐Chuan Liu, Petr Uchytil and Min-Ying Wang. Their work appears in journals such as Journal of Membrane Science, Microchemical Journal, Journal of Chromatography B, Separation Science and Technology and Journal of the Taiwan Institute of Chemical Engineers.

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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