Chin‐Feng Chan

1.1k citations
37 papers · 912 · h-index 20

Impact in

Papers in

Chin‐Feng Chan

37 papers receiving 877 citations

Peers

Chin‐Feng Chan
Comparison fields: 5 of 99
  • Biochemistry 178
  • Nutrition and Dietetics 160
  • Food Science 191
  • Cell Biology 152
  • Sensory Systems 33
Replace Myra O. Villareal with:
Myra O. Villareal Japan
Yanying Yu China
Sang Yoon Choi South Korea
Jae Kwan Hwang South Korea
Yong Deog Hong South Korea
Katarzyna Gaweł‐Bęben Poland
Min Jung Kim South Korea
Yoon-Mi Lee South Korea
Tsong‐Min Chang Taiwan
Renata M. Martínez Brazil
Chin‐Feng Chan relative to Myra O. Villareal Japan Myra O. Villareal's profile →
Citations per field
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Myra O. Villareal · 1×
Citations per year

Countries citing papers authored by Chin‐Feng Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Feng Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Feng 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 Chin‐Feng Chan. The network helps show where Chin‐Feng Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201363
2 200563
3 201456
4 201555
5 200051
6 201148
7 201147
8 201946
9 201843
10 199536
11 201232
12 200930
13 201129
14 201328
15 201126
16
Influence of purple sweet potato extracts on the UV absorption properties of a cosmetic cream.
201026
17 201625
18 200123
19 201423
20 201421

About Chin‐Feng Chan

Chin‐Feng Chan is a scholar working on Molecular Biology, Food Science, Cell Biology, Biochemistry and Nutrition and Dietetics, having authored 37 papers that have together received 912 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (8 papers), melanin and skin pigmentation (7 papers), Skin Protection and Aging (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Food composition and properties (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Fermentation and Sensory Analysis (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Biochemistry (178 citations), Nutrition and Dietetics (160 citations), Food Science (191 citations), Cell Biology (152 citations) and Sensory Systems (33 citations). Chin‐Feng Chan has collaborated with scholars based in Taiwan, Hungary and Switzerland. Frequent co-authors include Yung‐Sheng Lin, Wayne C. Liao, Shoei‐Yn Lin‐Shiau, Wenying Huang, Ming-Yuan Lee, Ching-Cheng Huang, Jen‐Kun Lin, Wei‐Zen Sun, Shuang‐En Chuang and Gi‐Ming Lai. Their work appears in journals such as Journal of Food Science and Technology, Molecules, Journal of the Science of Food and Agriculture, Applied Engineering in Agriculture and Separation Science and Technology.

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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