Kun-Nan Chen

529 citations
26 papers · 428 · h-index 9

Impact in

    • Probiotics and Fermented Foods
    • Microencapsulation and Drying Processes
    • Microbial Metabolites in Food Biotechnology
    • Food composition and properties

Papers in

Kun-Nan Chen

25 papers receiving 409 citations

Peers

Kun-Nan Chen
Comparison fields: 5 of 95
  • Food Science 179
  • Nutrition and Dietetics 73
  • Animal Science and Zoology 45
  • Biotechnology 24
  • Nuclear Energy and Engineering 1
Replace Gabrielle Moulin with:
Gabrielle Moulin France
Reidar Barfod Schüller Norway
Roberto Nigro Italy
Baoyu Yang China
Evi Bongaers Belgium
Jiale Chai China
Fatih Kalkan Türkiye
C.J. Schaschke United Kingdom
Bá Vương Trương Vietnam
Clairmont L. Clementson United States
Kun-Nan Chen relative to Gabrielle Moulin France Gabrielle Moulin's profile →
Citations per field
00.5×1.5×
Gabrielle Moulin · 1×
Citations per year

Countries citing papers authored by Kun-Nan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kun-Nan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-Nan Chen. 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 Kun-Nan Chen. The network helps show where Kun-Nan Chen may publish in the future.

Co-authors

The 18 scholars most cited alongside Kun-Nan Chen, 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 Kun-Nan Chen Line = papers co-authored together Kun-Nan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201283
2 200483
3 201549
4 200545
5 201130
6 201027
7 201223
8 201312
9 20068
10 20108
11 20108
12 20077
13 20036
14 20066
15 20066
16 20145
17 20084
18 20064
19 20124
20 20063

About Kun-Nan Chen

Kun-Nan Chen is a scholar working on Mechanical Engineering, Food Science, Molecular Biology, Civil and Structural Engineering and Atomic and Molecular Physics, and Optics, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (7 papers), Structural Health Monitoring Techniques (6 papers), Mechanical Engineering and Vibrations Research (4 papers), Force Microscopy Techniques and Applications (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Gut microbiota and health (3 papers) and Vibration and Dynamic Analysis (3 papers). The work is most often cited by research in Food Science (179 citations), Nutrition and Dietetics (73 citations), Animal Science and Zoology (45 citations), Biotechnology (24 citations) and Nuclear Energy and Engineering (1 citation). Kun-Nan Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ming‐Ju Chen, Chin‐Wen Lin, Hsi-Chia Chen, Ming‐Lun Chiang, Sheng‐Yao Wang, Je‐Ruei Liu, Yu‐Chun Lin, Ya‐Ting Lin, Hsien‐Chie Cheng and Yen‐Po Chen. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Journal of Food Engineering, Evidence-based Complementary and Alternative Medicine, Microsystem Technologies and Journal of Electronic Packaging.

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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