Shu-Ting Chan

699 citations
25 papers · 537 indexed · h-index 14

Shu-Ting Chan

25 papers receiving 527 citations

Peers

Shu-Ting Chan
Comparison fields: 5 of 106
  • Biochemistry 78
  • Applied Microbiology and Biotechnology 12
  • Geriatrics and Gerontology 20
  • Cancer Research 61
  • Molecular Medicine 20
Replace George Binh Lenon with:
George Binh Lenon Australia
Claire Seguin United States
Vivek DESHPANDE India
Martin Jozef Péč Slovakia
Sangeetha Nagarajan India
Sukhdev Singh India
Loïc Le Marchand United States
Nam‐Yi Kim South Korea
Wassim N. Shebaby Lebanon
Shu-Ting Chan relative to George Binh Lenon Australia George Binh Lenon's profile →
Citations per field
00.5×12×
George Binh Lenon · 1×
Citations per year

Countries citing papers authored by Shu-Ting Chan

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Ting Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Ting Chan. 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-Ting Chan. The network helps show where Shu-Ting Chan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202215
3 20221
4 202216
5 202115
6 20219
7 20208
8 201921
9 20181
10 201870
11 201722
12 20148
13 201320
14 201372
15 201212
16 201150
17 201134
18 20019
19
Methods for wind turbine dynamic analysis. Final report
19831
20 198131

About Shu-Ting Chan

Shu-Ting Chan is a scholar working on Biochemistry, Applied Microbiology and Biotechnology and Safety, Risk, Reliability and Quality, having authored 25 papers that have together received 537 indexed citations. Recurring topics across this work include Free Radicals and Antioxidants (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), Power System Reliability and Maintenance (3 papers), Cancer, Lipids, and Metabolism (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Retinoids in leukemia and cellular processes (3 papers), Electric Power System Optimization (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Biochemistry (78 citations), Applied Microbiology and Biotechnology (12 citations) and Geriatrics and Gerontology (20 citations). Shu-Ting Chan has collaborated with scholars based in Taiwan, Canada and Malaysia. Frequent co-authors include Shu-Lan Yeh, Cheng‐Hung Chuang, Jiunn‐Wang Liao, Hsi‐Mei Chung, K. Schenk, Tzu‐Chin Wu, Nae-Cherng Yang, Yi‐Chin Lin, Chin‐Shiu Huang and Chih-Ning Chang. Their work appears in journals such as European Journal of Nutrition, Chemico-Biological Interactions, The Journal of Nutritional Biochemistry, Nutrients and Journal of Food and Drug Analysis.

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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