Shu‐Min Shen

405 citations
24 papers · 360 · h-index 11

Impact in

Papers in

Shu‐Min Shen

23 papers receiving 349 citations

Peers

Shu‐Min Shen
Comparison fields: 5 of 74
  • Endocrinology 100
  • Molecular Medicine 54
  • Pollution 100
  • Water Science and Technology 70
  • Health, Toxicology and Mutagenesis 52
Replace Jiaying Wang with:
Jiaying Wang China
Shannon L. Braithwaite Canada
Inès Mehri Tunisia
Hélène Guilloteau France
Colin Fricker United Kingdom
Sara Gharavi Iran
Pengxiao Zuo United States
Po-Min Kao Taiwan
Doris Yoong Wen Di United States
Anowara Begum Bangladesh
Shu‐Min Shen relative to Jiaying Wang China Jiaying Wang's profile →
Citations per field
00.5×6.2×
Jiaying Wang · 1×
Citations per year

Countries citing papers authored by Shu‐Min Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Min Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Min Shen. 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 Shu‐Min Shen. The network helps show where Shu‐Min Shen may publish in the future.

Co-authors

The 25 scholars most cited alongside Shu‐Min Shen, 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 Shu‐Min Shen Line = papers co-authored together Shu‐Min Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201497
2 201154
3 200625
4 201319
5 201318
6 201117
7 201316
8 201315
9 201215
10 201315
11 201210
12 20129
13 20199
14 20148
15 20127
16 20156
17 20136
18 20155
19 20154
20 20152

About Shu‐Min Shen

Shu‐Min Shen is a scholar working on Endocrinology, Molecular Biology, Industrial and Manufacturing Engineering, Biomedical Engineering and Pollution, having authored 24 papers that have together received 360 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (9 papers), Bacterial biofilms and quorum sensing (6 papers), Biosensors and Analytical Detection (4 papers), Water Treatment and Disinfection (4 papers), Recycling and Waste Management Techniques (2 papers), Vibrio bacteria research studies (2 papers), Constructed Wetlands for Wastewater Treatment (2 papers) and Extraction and Separation Processes (2 papers). The work is most often cited by research in Endocrinology (100 citations), Molecular Medicine (54 citations), Pollution (100 citations), Water Science and Technology (70 citations) and Health, Toxicology and Mutagenesis (52 citations). Shu‐Min Shen has collaborated with scholars based in Taiwan, Sweden and Slovenia. Frequent co-authors include Terng‐Jou Wan, Bing‐Mu Hsu, Po-Min Kao, Chi‐Wei Tao, Yuli Huang, Tsui-Kang Hsu, Wen‐Tsai Ji, Min‐Che Tung, Wen‐Chien Huang and Chi‐Min Shu. Their work appears in journals such as Water Science & Technology, Pathogens and Global Health, Separation and Purification Technology, Parasitology Research and International Journal of Environmental Research and Public Health.

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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