Meng‐Wei Kan

474 total citations
9 papers, 342 citations indexed

About

Meng‐Wei Kan is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Meng‐Wei Kan has authored 9 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Oncology. Recurrent topics in Meng‐Wei Kan's work include Biochemical and Structural Characterization (6 papers), Phytoplasmas and Hemiptera pathogens (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Meng‐Wei Kan is often cited by papers focused on Biochemical and Structural Characterization (6 papers), Phytoplasmas and Hemiptera pathogens (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Meng‐Wei Kan collaborates with scholars based in Australia, Egypt and Canada. Meng‐Wei Kan's co-authors include David J. Craik, Simon J. de Veer, Conan K. Wang, Joakim E. Swedberg, Christina I. Schroeder, Susan E. Northfield, Thomas Durek, Luke W. Guddat, Waleed M. Hussein and Gerhard Schenk and has published in prestigious journals such as Chemical Reviews, Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Meng‐Wei Kan

9 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Meng‐Wei Kan Australia 4 299 66 64 62 54 9 342
Yilong Lian Singapore 6 457 1.5× 46 0.7× 51 0.8× 104 1.7× 54 1.0× 7 511
Misako Taichi Japan 12 349 1.2× 47 0.7× 162 2.5× 60 1.0× 20 0.4× 18 451
Konkallu Hanumae Gowd India 15 396 1.3× 60 0.9× 60 0.9× 18 0.3× 18 0.3× 41 524
Yibo Qiu Singapore 7 655 2.2× 74 1.1× 138 2.2× 76 1.2× 31 0.6× 10 697
Marcel Schmidt Netherlands 15 468 1.6× 41 0.6× 142 2.2× 19 0.3× 12 0.2× 18 528
Sunil Singh India 9 337 1.1× 37 0.6× 182 2.8× 11 0.2× 10 0.2× 20 442
Oleg Werbitzky Germany 9 229 0.8× 31 0.5× 156 2.4× 15 0.2× 10 0.2× 12 350
Janice M. Reimer Canada 10 389 1.3× 33 0.5× 40 0.6× 26 0.4× 7 0.1× 15 461
Yi Tian China 11 134 0.4× 16 0.2× 128 2.0× 14 0.2× 20 0.4× 24 320
Luke J. Dowman Australia 9 246 0.8× 46 0.7× 155 2.4× 8 0.1× 7 0.1× 13 317

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-authorship network of co-authors of Meng‐Wei Kan

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

All Works

9 of 9 papers shown
1.
Henriques, Sónia Troeira, Nicole Lawrence, Meng‐Wei Kan, Lara R. Malins, & David J. Craik. (2025). Cell-Penetrating Cyclic and Disulfide-Rich Peptides Are Privileged Molecular Scaffolds for Intracellular Targeting. Biochemistry. 64(7). 1437–1449. 3 indexed citations
2.
Xie, Jing, Meng‐Wei Kan, Simon J. de Veer, Conan K. Wang, & David J. Craik. (2024). Display Technologies for Expanding the Pharmaceutical Applications of Cyclotides. Israel Journal of Chemistry. 64(8-9). 3 indexed citations
3.
Kan, Meng‐Wei, et al.. (2023). Discovery and optimisation of conotoxin Vc1.1 and analogues with analgesic properties. Australian Journal of Chemistry. 76(10). 655–670. 2 indexed citations
4.
Huang, Yen‐Hua, Meng‐Wei Kan, & David J. Craik. (2022). Protocols for measuring the stability and cytotoxicity of cyclotides. Methods in enzymology on CD-ROM/Methods in enzymology. 663. 19–40. 3 indexed citations
5.
Kan, Meng‐Wei & David J. Craik. (2020). Discovery of Cyclotides from Australasian Plants. Australian Journal of Chemistry. 73(4). 287–299. 2 indexed citations
6.
Veer, Simon J. de, Meng‐Wei Kan, & David J. Craik. (2019). Cyclotides: From Structure to Function. Chemical Reviews. 119(24). 12375–12421. 184 indexed citations
7.
Kan, Meng‐Wei, et al.. (2019). Synthesis, evaluation and structural investigations of potent purple acid phosphatase inhibitors as drug leads for osteoporosis. European Journal of Medicinal Chemistry. 182. 111611–111611. 8 indexed citations
8.
Northfield, Susan E., Conan K. Wang, Christina I. Schroeder, et al.. (2014). Disulfide-rich macrocyclic peptides as templates in drug design. European Journal of Medicinal Chemistry. 77. 248–257. 112 indexed citations
9.
Hussein, Waleed M., Daniel Clayton, Meng‐Wei Kan, et al.. (2012). Identification of Purple Acid Phosphatase Inhibitors by Fragment‐Based Screening: Promising New Leads for Osteoporosis Therapeutics. Chemical Biology & Drug Design. 80(5). 665–674. 25 indexed citations

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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