Yinglai Teng

945 total citations
25 papers, 776 citations indexed

About

Yinglai Teng is a scholar working on Molecular Biology, Food Science and Biochemistry. According to data from OpenAlex, Yinglai Teng has authored 25 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Food Science and 5 papers in Biochemistry. Recurrent topics in Yinglai Teng's work include Enzyme Catalysis and Immobilization (9 papers), Proteins in Food Systems (8 papers) and Food Chemistry and Fat Analysis (7 papers). Yinglai Teng is often cited by papers focused on Enzyme Catalysis and Immobilization (9 papers), Proteins in Food Systems (8 papers) and Food Chemistry and Fat Analysis (7 papers). Yinglai Teng collaborates with scholars based in China, Australia and Netherlands. Yinglai Teng's co-authors include Yong Wang, Chaoying Qiu, Johan P. M. Sanders, Elinor L. Scott, Ping Lan, Martin G. Banwell, Zizhe Cai, Scott G. Stewart, Depo Yang and Ying Li and has published in prestigious journals such as Applied Catalysis B: Environmental, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Yinglai Teng

25 papers receiving 765 citations

Peers

Yinglai Teng
Comparison fields: 5 of 97
  • Molecular Biology 308
  • Biomedical Engineering 245
  • Food Science 207
  • Mechanical Engineering 113
  • Materials Chemistry 95
Replace Laetitia Canabady‐Rochelle with:
Laetitia Canabady‐Rochelle France
Catherine K. Markopoulou Greece
Priscilla Vanessa Finotelli Brazil
Guolong Yang China
Chaoxi Zeng China
Diana Lindberg Norway
Yibin Li China
Roghayeh Abedi Karjiban Malaysia
Youngbo Choi South Korea
Laetitia Canabady‐Rochelle France View profile →
Citations per field, relative to Yinglai Teng
Yinglai Teng · 1×
Citations per year, relative to Yinglai Teng
Yinglai Teng · 1×

Countries citing papers authored by Yinglai Teng

Since Specialization
Citations

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

Fields of papers citing papers by Yinglai Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinglai Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Yinglai Teng. A scholar is included among the top collaborators of Yinglai Teng 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 Yinglai Teng. Yinglai Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 8
3 6
4 13
5 19
6 8
7 77
8 8
9 12
10 57
11 27
12 41
13 37
14 7
15 14
16 88
17 97
18 13
19 19
20 55

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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