Kun-Nan Chen

25 papers receiving 415 citations

Peers

Kun-Nan Chen
Comparison fields: 5 of 93
  • Food Science 176
  • Nutrition and Dietetics 71
  • Animal Science and Zoology 45
  • Biotechnology 23
  • Molecular Biology 145
Replace Gabrielle Moulin with:
Gabrielle Moulin France
Reidar Barfod Schüller Norway
Salvatore Coppola Italy
Roberto Nigro Italy
Evi Bongaers Belgium
Fatih Kalkan Türkiye
Huanming Liu China
Bá Vương Trương Vietnam
Clairmont L. Clementson United States
Martin Howarth United Kingdom
Kun-Nan Chen relative to Gabrielle Moulin France Gabrielle Moulin's profile →
Citations per field
00.5×1.7×
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 201284
2 200483
3 201551
4 200545
5 201131
6 201027
7 201223
8 201312
9 20108
10 20068
11 20108
12 20077
13 20066
14 20146
15 20036
16 20066
17 20125
18 20084
19 20064
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 434 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), Gut microbiota and health (3 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Vibration and Dynamic Analysis (3 papers). The work is most often cited by research in Food Science (176 citations), Nutrition and Dietetics (71 citations), Animal Science and Zoology (45 citations), Biotechnology (23 citations) and Molecular Biology (145 citations). 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, Yu‐Chun Lin, Je‐Ruei Liu, 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, Applied Sciences 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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