Mei‐Sha Chen

512 citations
11 papers · 467 · h-index 8

Impact in

    • Immunotherapy and Immune Responses
    • Alzheimer's disease research and treatments

Papers in

    • Glycosylation and Glycoproteins Research 5
    • S100 Proteins and Annexins 1
    • Alzheimer's disease research and treatments 6

Mei‐Sha Chen

11 papers receiving 464 citations

Peers

Mei‐Sha Chen
Comparison fields: 5 of 52
  • Immunology 124
  • Physiology 143
  • Radiology, Nuclear Medicine and Imaging 103
  • Organic Chemistry 141
  • Molecular Biology 298
Replace W. Mei Kok with:
W. Mei Kok Australia
R. Jeremy Woods United States
Nianhuan Yao United States
Deborah H. Slee United States
Anuj K. Yadav United States
Yanwen Fu United States
Daniele Florio Italy
Yuji Kado Japan
Md. Anzarul Haque India
Berin Karaman Germany
Mei‐Sha Chen relative to W. Mei Kok Australia W. Mei Kok's profile →
Citations per field
00.5×2×3×3.8×
W. Mei Kok · 1×
Citations per year

Countries citing papers authored by Mei‐Sha Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Sha Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Sha Chen. 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 Mei‐Sha Chen. The network helps show where Mei‐Sha Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Mei‐Sha Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mei‐Sha Chen Line = papers co-authored together Mei‐Sha Chen links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014124
2 2008114
3 2013106
4 201145
5 201422
6 201321
7 201218
8 200910
9 20125
10 20121
11 20121

About Mei‐Sha Chen

Mei‐Sha Chen is a scholar working on Molecular Biology, Physiology, Biomaterials, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 467 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Glycosylation and Glycoproteins Research (5 papers), Supramolecular Self-Assembly in Materials (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Computational Drug Discovery Methods (2 papers), Click Chemistry and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Immunology (124 citations), Physiology (143 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Organic Chemistry (141 citations) and Molecular Biology (298 citations). Mei‐Sha Chen has collaborated with scholars based in China, Germany and Denmark. Frequent co-authors include Yanmei Li, Yufen Zhao, Horst Kunz, Zhanyi Sun, Hui Cai, Qian Liu, Wei‐Hui Wu, Ashley I. Bush, Peng Lei and Jia Hu. Their work appears in journals such as Chemical Communications, Angewandte Chemie International Edition, Peptides, Journal of Biological Chemistry and Chemistry - A European Journal.

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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