Xiaoyun Su

3.4k total citations
111 papers, 2.5k citations indexed

About

Xiaoyun Su is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Xiaoyun Su has authored 111 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 58 papers in Biomedical Engineering and 45 papers in Biotechnology. Recurrent topics in Xiaoyun Su's work include Biofuel production and bioconversion (55 papers), Enzyme Production and Characterization (35 papers) and Enzyme Catalysis and Immobilization (22 papers). Xiaoyun Su is often cited by papers focused on Biofuel production and bioconversion (55 papers), Enzyme Production and Characterization (35 papers) and Enzyme Catalysis and Immobilization (22 papers). Xiaoyun Su collaborates with scholars based in China, United States and Finland. Xiaoyun Su's co-authors include Bin Yao, Huiying Luo, Xiaolu Wang, Huoqing Huang, Tao Tu, Yingguo Bai, Yuan Wang, Isaac Cann, Roderick I. Mackie and Jie Zhang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaoyun Su

107 papers receiving 2.5k citations

Peers

Xiaoyun Su
Comparison fields: 5 of 113
  • Molecular Biology 1.3k
  • Biomedical Engineering 987
  • Plant Science 936
  • Biotechnology 807
  • Nutrition and Dietetics 194
Replace Ajay Veer Singh with:
Ajay Veer Singh India
Rolf A. Prade United States
Lauren S. McKee Sweden
Han Dae Yun South Korea
Shihui Yang China
Jane W. Agger Denmark
Dominic W. S. Wong United States
Shuai Zhao China
Aymerick Eudes United States
Fábio M. Squina Brazil
Ajay Veer Singh India View profile →
Citations per field, relative to Xiaoyun Su
Xiaoyun Su · 1×
Citations per year, relative to Xiaoyun Su
Xiaoyun Su · 1×

Countries citing papers authored by Xiaoyun Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Su. A scholar is included among the top collaborators of Xiaoyun Su 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 Xiaoyun Su. Xiaoyun Su 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 0
2 0
3 7
4 5
5 3
6 25
7 1
8 11
9 1
10 17
11 42
12 5
13 46
14 37
15 12
16 36
17 42
18 16
19 64
20
Induction of specific CTLs in BALB/c mice by chiral MUC1 synthetic peptide vaccine
2

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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