Meng‐Chao Shi

665 citations
12 papers · 490 indexed · h-index 10
Topics
Glycosylation and Glycoproteins Research (7 papers)Carbohydrate Chemistry and Synthesis (5 papers)Catalytic Cross-Coupling Reactions (3 papers)
Partner nations
United StatesChinaPoland

In The Last Decade

Meng‐Chao Shi

12 papers receiving 480 citations

Peers

Meng‐Chao Shi
Comparison fields: 5 of 53
  • Molecular Biology 365
  • Organic Chemistry 205
  • Immunology 64
  • Oncology 49
  • Radiology, Nuclear Medicine and Imaging 40
Replace Anastasia P. Kadina with:
Anastasia P. Kadina United States
Ashley E. Modell United States
Xueli Tian China
Zhipeng A. Wang United States
Elisabeth Mohorko Switzerland
William Shu Ching Ngai China
Annapoorani Ramiah United States
Haobo Wang China
Courtenay Hart United States
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Meng‐Chao Shi relative to Anastasia P. Kadina United States Anastasia P. Kadina's profile →
Citations per field
00.5×3.8×
Anastasia P. Kadina · 1×
Citations per year

Countries citing papers authored by Meng‐Chao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Chao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng‐Chao Shi

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 10
2 9
3 116
4 20
5 139
6 8
7 17
8 49
9 29
10 45
11 35
12 13

About Meng‐Chao Shi

Meng‐Chao Shi is a scholar working on Organic Chemistry, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 490 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Catalytic Cross-Coupling Reactions (3 papers). The work is most often cited by research in Business and International Management (19 citations), Organic Chemistry (205 citations) and Aging (11 citations). Meng‐Chao Shi has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Peter R. Andreana, Peng Wu, Sachini U. Siriwardena, Amit Choudhary, Xiu‐Guang Wang, Qing‐Xiang Liu, Stuart L. Schreiber, Veronika M. Shoba, Santosh Kumar Chaudhary and Beverly Mok. Their work appears in journals such as Cell, Journal of the American Chemical Society and The Journal of Organic Chemistry.

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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