Yu‐Kuo Chen

45 papers receiving 1.8k citations

Peers

Yu‐Kuo Chen
Comparison fields: 5 of 115
  • Biochemistry 360
  • Applied Microbiology and Biotechnology 57
  • Geriatrics and Gerontology 88
  • Nutrition and Dietetics 292
  • Biotechnology 142
Replace Nam Joo Kang with:
Nam Joo Kang South Korea
Sung Keun Jung South Korea
Saleh A. Almatroodi Saudi Arabia
Joshua A. Bomser United States
Tanweer Aslam Gondal Pakistan
Violetta Krajka‐Kuźniak Poland
Jeremy J. Johnson United States
Lih-Geeng Chen Taiwan
Mingyue Song China
Noriyoshi Masuoka Japan
Yu‐Kuo Chen relative to Nam Joo Kang South Korea Nam Joo Kang's profile →
Citations per field
00.5×1.5×
Nam Joo Kang · 1×
Citations per year

Countries citing papers authored by Yu‐Kuo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Kuo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Kuo 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 Yu‐Kuo Chen. The network helps show where Yu‐Kuo Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010192
2 2016175
3 2011161
4 2012148
5 2015133
6 201078
7 201675
8 201566
9 201261
10 201759
11 200959
12 201250
13 201048
14 201246
15 201746
16 202044
17 201543
18 201241
19 201537
20 201033

About Yu‐Kuo Chen

Yu‐Kuo Chen is a scholar working on Molecular Biology, Plant Science, Biochemistry, Pharmacology and Cancer Research, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antioxidant Activity and Oxidative Stress (5 papers), Natural Antidiabetic Agents Studies (4 papers), Free Radicals and Antioxidants (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Tea Polyphenols and Effects (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Immunotherapy and Immune Responses (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Biochemistry (360 citations), Applied Microbiology and Biotechnology (57 citations), Geriatrics and Gerontology (88 citations), Nutrition and Dietetics (292 citations) and Biotechnology (142 citations). Yu‐Kuo Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hua Han Chen, Chi‐Tang Ho, Chung S. Yang, Chi‐Chen Lin, Connie Cheung, Mao‐Jung Lee, Mao-Jung Lee, Kenneth R. Reuhl, Fei Guan and Zhihong Yang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Medicinal Chemistry Research, Journal of Food and Drug Analysis, Food Chemistry and Carcinogenesis.

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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