Yingyi Mao

52 total papers · 985 total citations
41 papers, 796 citations indexed

About

Yingyi Mao is a scholar working on Nutrition and Dietetics, Food Science and Materials Chemistry. According to data from OpenAlex, Yingyi Mao has authored 41 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nutrition and Dietetics, 16 papers in Food Science and 10 papers in Materials Chemistry. Recurrent topics in Yingyi Mao's work include Infant Nutrition and Health (15 papers), Proteins in Food Systems (15 papers) and Pickering emulsions and particle stabilization (10 papers). Yingyi Mao is often cited by papers focused on Infant Nutrition and Health (15 papers), Proteins in Food Systems (15 papers) and Pickering emulsions and particle stabilization (10 papers). Yingyi Mao collaborates with scholars based in China, United States and United Kingdom. Yingyi Mao's co-authors include David Julian McClements, Fang Tian, Yanrong Zhao, Hongshan Liang, Hang Xiao, Bin Li, Yan Li, Jing Li, Shuxin Ye and Bing Cui and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Colloid and Interface Science.

In The Last Decade

Yingyi Mao

39 papers receiving 788 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yingyi Mao	537	250	191	73	72	41	796
Xiuping Liang	594 1.1×	175 0.7×	150 0.8×	20 0.3×	61 0.8×	30	896
Jean‐Michel Cardot	303 0.6×	136 0.5×	91 0.5×	42 0.6×	20 0.3×	43	1.0k
Alexander Tolkach	647 1.2×	175 0.7×	129 0.7×	11 0.2×	112 1.6×	34	914
Hongbo Sun	359 0.7×	286 1.1×	126 0.7×	22 0.3×	58 0.8×	25	808
Choongjin Ban	332 0.6×	124 0.5×	113 0.6×	35 0.5×	24 0.3×	34	731
María José Martín Alonso	431 0.8×	134 0.5×	31 0.2×	67 0.9×	54 0.8×	24	800
Alejandra Medrano	322 0.6×	122 0.5×	100 0.5×	21 0.3×	38 0.5×	33	789
Shanshan Tie	346 0.6×	133 0.5×	133 0.7×	31 0.4×	24 0.3×	33	880
Biswaranjan Mohanty	343 0.6×	90 0.4×	87 0.5×	21 0.3×	44 0.6×	43	794
Liebing Zhang	632 1.2×	155 0.6×	59 0.3×	73 1.0×	100 1.4×	54	1.0k

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-authorship network of co-authors of Yingyi Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yingyi Mao. A scholar is included among the top collaborators of Yingyi Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingyi Mao. Yingyi Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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