Hung‐Min Chang

996 citations
32 papers · 876 · h-index 19

Impact in

Papers in

    • Polysaccharides and Plant Cell Walls 12
    • Proteins in Food Systems 6
    • Polysaccharides Composition and Applications 5

Hung‐Min Chang

32 papers receiving 813 citations

Peers

Hung‐Min Chang
Comparison fields: 5 of 94
  • Biochemistry 103
  • Food Science 249
  • Small Animals 90
  • Biotechnology 74
  • Nutrition and Dietetics 106
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Dongbing Tao China
Yoshihiro Kanamaru Japan
Juliana Maria Leite Nóbrega de Moura Bell United States
Renata Platcheck Raffin Brazil
Shimo Kang China
Cristiane Moutinho Lagos de Melo Brazil
Ilza Maria de Oliveira Sousa Brazil
Sun Hee Moon United States
Ivana Garaguso Italy
Arlene McDowell New Zealand
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Citations per year

Countries citing papers authored by Hung‐Min Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Min Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Min Chang. 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 Hung‐Min Chang. The network helps show where Hung‐Min Chang may publish in the future.

Co-authors

The 23 scholars most cited alongside Hung‐Min Chang, 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 Hung‐Min Chang Line = papers co-authored together Hung‐Min Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004111
2 2001111
3 200495
4 200045
5 199844
6 200037
7 200432
8 200632
9 200227
10 200227
11 199826
12 200325
13 199923
14 200223
15 200423
16 200522
17 200521
18 200319
19 200119
20 200118

About Hung‐Min Chang

Hung‐Min Chang is a scholar working on Plant Science, Food Science, Small Animals, Molecular Biology and Biotechnology, having authored 32 papers that have together received 876 indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (12 papers), Animal health and immunology (7 papers), Proteins in Food Systems (6 papers), Polysaccharides Composition and Applications (5 papers), Enzyme Production and Characterization (5 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Electrochemical sensors and biosensors (3 papers) and Microbial Inactivation Methods (3 papers). The work is most often cited by research in Biochemistry (103 citations), Food Science (249 citations), Small Animals (90 citations), Biotechnology (74 citations) and Nutrition and Dietetics (106 citations). Hung‐Min Chang has collaborated with scholars based in Taiwan. Frequent co-authors include Chao‐Cheng Chen, Jean‐Yu Hwang, Chwen‐Jen Shieh, Ming‐Chang Wu, Chii‐Ming Jiang, Hui‐Fen Liao, Yu‐Kang Tu, James Swi‐Bea Wu, Yung‐Chung Chang and Szu‐Chuan Shen. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Research International, Food Chemistry, Food and Chemical Toxicology and Journal of the Science of Food and Agriculture.

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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