Chao‐Hsun Yang

49 papers receiving 1.4k citations

Peers

Chao‐Hsun Yang
Comparison fields: 5 of 125
  • Biotechnology 378
  • Biochemistry 127
  • Food Science 262
  • Dermatology 107
  • Nutrition and Dietetics 174
Replace Sang Moo Kim with:
Sang Moo Kim South Korea
Fabio Apone Italy
Kalpa W. Samarakoon South Korea
Kokki Sakai Japan
Zedong Jiang China
Chang‐Wei Hsieh Taiwan
Hajer Ben Hlima Tunisia
Chaohua Zhang China
Susete Pintéus Portugal
Makoto Takahashi Japan
Chao‐Hsun Yang relative to Sang Moo Kim South Korea Sang Moo Kim's profile →
Citations per field
00.5×1.5×1.8×
Sang Moo Kim · 1×
Citations per year

Countries citing papers authored by Chao‐Hsun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Hsun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Hsun Yang. 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 Chao‐Hsun Yang. The network helps show where Chao‐Hsun Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010195
2 2011155
3 200783
4 200470
5 201159
6 201755
7 201554
8 200053
9 201152
10 200550
11 201348
12 201135
13 200933
14 201933
15 200733
16 201033
17 200731
18 201331
19 201329
20 201125

About Chao‐Hsun Yang

Chao‐Hsun Yang is a scholar working on Molecular Biology, Plant Science, Biotechnology, Biomedical Engineering and Nutrition and Dietetics, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (11 papers), Biofuel production and bioconversion (10 papers), melanin and skin pigmentation (7 papers), Phytochemicals and Antioxidant Activities (6 papers), Polysaccharides and Plant Cell Walls (6 papers), Biochemical Analysis and Sensing Techniques (6 papers), Enzyme-mediated dye degradation (5 papers) and Natural product bioactivities and synthesis (4 papers). The work is most often cited by research in Biotechnology (378 citations), Biochemistry (127 citations), Food Science (262 citations), Dermatology (107 citations) and Nutrition and Dietetics (174 citations). Chao‐Hsun Yang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Wen-Hsiung Liu, Yu‐Chun Huang, Cheng‐Yu Chen, Chih‐Chien Lin, Yu‐Fen Chen, Yu‐Chun Huang, Mei‐Lin Tsai, Wei‐Chao Lin, Weilin Chen and Keh‐Feng Huang. Their work appears in journals such as Enzyme and Microbial Technology, International Journal of Molecular Sciences, Journal of Industrial Microbiology & Biotechnology, International Journal of Biological Macromolecules and Bioscience Biotechnology and Biochemistry.

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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