Yingyi Mao

997 citations
42 papers · 805 · h-index 18

Impact in

    • Proteins in Food Systems
    • Food Chemistry and Fat Analysis
    • Microencapsulation and Drying Processes
    • Polysaccharides Composition and Applications
    • Infant Nutrition and Health

Papers in

Yingyi Mao

39 papers receiving 796 citations

Peers

Yingyi Mao
Comparison fields: 5 of 76
  • Food Science 545
  • Nutrition and Dietetics 253
  • Animal Science and Zoology 74
  • Biochemistry 30
  • Molecular Medicine 23
Replace Surangna Jain with:
Surangna Jain Thailand
Quanquan Lin China
Yuexi Yang China
Cuie Tang China
Gabriel Lorenzo Argentina
Leonardo Cornacchia Netherlands
Ana-Isabel Mulet-Cabero United Kingdom
Mi Xu Australia
Jiawei Wan China
Brian Degner United States
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Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Yingyi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yingyi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202294
2 201291
3 201056
4 201353
5 201848
6 201244
7 201139
8 201336
9 201335
10 201229
11 201729
12 201828
13 201222
14 201321
15 202320
16 201220
17 202219
18 202017
19 202215
20 202114

About Yingyi Mao

Yingyi Mao is a scholar working on Nutrition and Dietetics, Food Science, Epidemiology, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 805 indexed citations. Recurring topics across this work include Infant Nutrition and Health (16 papers), Proteins in Food Systems (15 papers), Breastfeeding Practices and Influences (10 papers), Pickering emulsions and particle stabilization (10 papers), Food Chemistry and Fat Analysis (8 papers), Neonatal Respiratory Health Research (6 papers), Fatty Acid Research and Health (4 papers) and Folate and B Vitamins Research (4 papers). The work is most often cited by research in Food Science (545 citations), Nutrition and Dietetics (253 citations), Animal Science and Zoology (74 citations), Biochemistry (30 citations) and Molecular Medicine (23 citations). Yingyi Mao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David Julian McClements, Fang Tian, Hongshan Liang, Bin Li, Yanrong Zhao, Yan Li, Hang Xiao, Bing Cui, Jing Li and Shuxin Ye. Their work appears in journals such as Food Hydrocolloids, Nutrients, Food & Function, British Journal Of Nutrition and Food Bioscience.

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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