Meng‐Wei Kan

515 citations
13 papers · 372 · h-index 6

Impact in

    • Antimicrobial Peptides and Activities
    • Biochemical and Structural Characterization
    • Chemical Synthesis and Analysis
    • Glycosylation and Glycoproteins Research

Papers in

    • Biochemical and Structural Characterization 8
    • Glycosylation and Glycoproteins Research 4
    • Chemical Synthesis and Analysis 3
    • Receptor Mechanisms and Signaling 2
    • Phytoplasmas and Hemiptera pathogens 4

Meng‐Wei Kan

12 papers receiving 370 citations

Peers

Meng‐Wei Kan
Comparison fields: 5 of 50
  • Microbiology 71
  • Molecular Biology 320
  • Biotechnology 34
  • Immunology 58
  • Pharmacology 39
Replace Yilong Lian with:
Yilong Lian Singapore
Misako Taichi Japan
Paola Ojeda Chile
Ingrid Čipáková Slovakia
Chayanid Ongpipattanakul United States
Tunjung Mahatmanto Indonesia
Konkallu Hanumae Gowd India
Yibo Qiu Singapore
Sunil Singh India
Marcel Schmidt Netherlands
Meng‐Wei Kan relative to Yilong Lian Singapore Yilong Lian's profile →
Citations per field
00.5×1.7×
Yilong Lian · 1×
Citations per year

Countries citing papers authored by Meng‐Wei Kan

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Wei Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meng‐Wei Kan, 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 Meng‐Wei Kan Line = papers co-authored together Meng‐Wei Kan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019189
2 2014113
3 201225
4 201914
5 20198
6 20217
7 20244
8 20233
9 20223
10 20253
11 20202
12 20121
13 20250

About Meng‐Wei Kan

Meng‐Wei Kan is a scholar working on Molecular Biology, Plant Science, Immunology, Oncology and Microbiology, having authored 13 papers that have together received 372 indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (8 papers), Glycosylation and Glycoproteins Research (4 papers), Phytoplasmas and Hemiptera pathogens (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Chemical Synthesis and Analysis (3 papers), Antimicrobial Peptides and Activities (2 papers), Metal complexes synthesis and properties (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Microbiology (71 citations), Molecular Biology (320 citations), Biotechnology (34 citations), Immunology (58 citations) and Pharmacology (39 citations). Meng‐Wei Kan has collaborated with scholars based in Australia, Egypt and Belgium. Frequent co-authors include David J. Craik, Simon J. de Veer, Thomas Durek, Conan K. Wang, Christina I. Schroeder, Susan E. Northfield, Joakim E. Swedberg, Gerhard Schenk, Ross P. McGeary and Waleed M. Hussein. Their work appears in journals such as European Journal of Medicinal Chemistry, Australian Journal of Chemistry, Medicine in Drug Discovery, Methods in enzymology on CD-ROM/Methods in enzymology and Chemical Reviews.

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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