Yun Shi

3.4k citations
42 papers · 1.6k indexed · 1 hit paper · h-index 17
Topics
Protein Structure and Dynamics (8 papers)Carbohydrate Chemistry and Synthesis (7 papers)Glycosylation and Glycoproteins Research (6 papers)
Partner nations
ChinaAustraliaCanada

In The Last Decade

Yun Shi

42 papers receiving 1.6k citations

Hit Papers

Unravelling the Role of O-glycans in Influenza A Virus In...20182026202020232018250500750

Peers

Yun Shi
Comparison fields: 5 of 188
  • Molecular Biology 513
  • Biomedical Engineering 166
  • Materials Chemistry 156
  • Molecular Medicine 152
  • Plant Science 135
Replace Ana L. Santos with:
Ana L. Santos Portugal
Shan Sun China
Xi Li China
Yujie Sun China
Hong Wu China
Liu China
Donald Włodkowic Australia
Weiyi Wang China
Vahid Jalili Iran
Shuting Wang China
Yun Shi relative to Ana L. Santos Portugal Ana L. Santos's profile →
Citations per field
00.5×1.5×2.2×
Ana L. Santos · 1×
Citations per year

Countries citing papers authored by Yun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Shi. A scholar is included among the top collaborators of Yun Shi 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 Yun Shi. Yun Shi 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
#WorkIndexed citations
1 14
2 17
3 10
4 34
5 29
6 5
7 12
8 17
9 4
10 26
11
[Endotoxin Contamination and Correlation with Other Water Quality Parameters of Groundwater from Self-Contained Wells in Beijing].
2
12 12
13 3
14 40
15 38
16 13
17 31
18 3
19 23
20 16

About Yun Shi

Yun Shi is a scholar working on Molecular Medicine, Geriatrics and Gerontology and Microbiology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Molecular Medicine (152 citations), Applied Microbiology and Biotechnology (27 citations) and Endocrinology (54 citations). Yun Shi has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Mark von Itzstein, Thomas Haselhorst, Ivan A. Gagarinov, Jimmy C. C. Lai, John M. Nicholls, Kam Lau, Juliane Mayr, Renee W. Y. Chan, Sarah McAtamney and B. Mario Pinto. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Immunology and PLoS ONE.

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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