Ming Chang

3.9k citations
142 papers · 3.1k indexed · h-index 31

Impact in

    • Phytochemicals and Antioxidant Activities
    • Proteins in Food Systems
    • Food Chemistry and Fat Analysis

Papers in

Ming Chang

138 papers receiving 3.0k citations

Peers

Ming Chang
Comparison fields: 5 of 134
  • Biochemistry 445
  • Food Science 707
  • Nutrition and Dietetics 540
  • Biochemistry 219
  • Renewable Energy, Sustainability and the Environment 337
Replace Lei Zhao with:
Lei Zhao China
Jiangning Hu China
Boo-Yong Lee South Korea
Li Rao India
Rui Jiao China
Weibin Bai China
In‐Hwan Kim South Korea
Sílvia Berlanga de Moraes Barros Brazil
Ming Chang relative to Lei Zhao China Lei Zhao's profile →
Citations per field
00.5×1.5×2.2×
Lei Zhao · 1×
Citations per year

Countries citing papers authored by Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 201498
3 201984
4 202083
5 201482
6 201381
7 201380
8 202074
9 201456
10 202255
11 202254
12 201754
13 201154
14 201751
15 202050
16 202049
17 201848
18 201647
19 201346
20 201546

About Ming Chang

Ming Chang is a scholar working on Molecular Biology, Organic Chemistry, Food Science, Biochemistry and Nutrition and Dietetics, having authored 142 papers that have together received 3.1k indexed citations. Recurring topics across this work include Edible Oils Quality and Analysis (33 papers), Antioxidant Activity and Oxidative Stress (19 papers), Fatty Acid Research and Health (17 papers), Cholesterol and Lipid Metabolism (15 papers), Enzyme Catalysis and Immobilization (15 papers), Microbial Metabolic Engineering and Bioproduction (14 papers), Phytochemicals and Antioxidant Activities (13 papers) and Proteins in Food Systems (12 papers). The work is most often cited by research in Biochemistry (445 citations), Food Science (707 citations), Nutrition and Dietetics (540 citations), Biochemistry (219 citations) and Renewable Energy, Sustainability and the Environment (337 citations). Ming Chang has collaborated with scholars based in China, Hong Kong and Slovakia. Frequent co-authors include Ruijie Liu, Qingzhe Jin, Xingguo Wang, Tao Zhang, Xingguo Wang, Longkai Shi, Jianhua Huang, Guifang Chang, Yandan Wang and Ruru Liu. Their work appears in journals such as Food & Function, LWT, Food Chemistry, Food Bioscience and European Journal of Lipid Science and Technology.

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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