Yao Yang

32 total papers · 606 total citations
26 papers, 437 citations indexed

About

Yao Yang is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Yao Yang has authored 26 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Nutrition and Dietetics and 9 papers in Food Science. Recurrent topics in Yao Yang's work include Microbial Metabolites in Food Biotechnology (7 papers), Probiotics and Fermented Foods (7 papers) and Enzyme Production and Characterization (6 papers). Yao Yang is often cited by papers focused on Microbial Metabolites in Food Biotechnology (7 papers), Probiotics and Fermented Foods (7 papers) and Enzyme Production and Characterization (6 papers). Yao Yang collaborates with scholars based in China, United States and Hong Kong. Yao Yang's co-authors include Patrick S.C. Leung, Ka Hou Chu, Guo–Xiang Yang, Hoi Shan Kwan, Yanrong Liu, Sheng Yuan, Hailin Huan, Jian Shu, Na Qin and Jianqiang Chen and has published in prestigious journals such as Hepatology, Journal of Agricultural and Food Chemistry and Carbohydrate Polymers.

In The Last Decade

Yao Yang

24 papers receiving 433 citations

Author Peers

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

Author Last Decade Papers Cites
Yao Yang 159 139 89 83 58 26 437
Y Shimokawa 186 1.2× 78 0.6× 78 0.9× 168 2.0× 17 0.3× 30 455
Mara A. P. Diks 115 0.7× 103 0.7× 58 0.7× 84 1.0× 141 2.4× 20 409
Paola Smaldini 142 0.9× 73 0.5× 58 0.7× 30 0.4× 197 3.4× 26 469
Ewa Wasilewska 230 1.4× 168 1.2× 19 0.2× 62 0.7× 85 1.5× 47 463
Susanne Naumann 75 0.5× 112 0.8× 52 0.6× 93 1.1× 22 0.4× 28 444
Kazue Ito 106 0.7× 130 0.9× 35 0.4× 40 0.5× 98 1.7× 28 424
Tanja Šuligoj 170 1.1× 94 0.7× 34 0.4× 143 1.7× 18 0.3× 15 416
V. Millet 106 0.7× 186 1.3× 19 0.2× 53 0.6× 18 0.3× 26 492
Chiaki Kaga 268 1.7× 109 0.8× 26 0.3× 65 0.8× 19 0.3× 22 444
Masayuki Iwata 118 0.7× 53 0.4× 55 0.6× 26 0.3× 18 0.3× 32 468

Countries citing papers authored by Yao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Yang. A scholar is included among the top collaborators of Yao Yang 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 Yao Yang. Yao Yang 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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