Kai Kan

510 citations
35 papers · 440 · h-index 13

Impact in

Papers in

    • Advanced Polymer Synthesis and Characterization 7
    • Antimicrobial agents and applications 2
    • biodegradable polymer synthesis and properties 9
    • Supramolecular Self-Assembly in Materials 4

Kai Kan

35 papers receiving 433 citations

Peers

Kai Kan
Comparison fields: 5 of 81
  • Process Chemistry and Technology 67
  • Biomaterials 161
  • Catalysis 43
  • Organic Chemistry 142
  • Polymers and Plastics 57
Replace Qiao Yuan with:
Qiao Yuan China
R. Butler United Kingdom
Kun Cui China
James Jennings United Kingdom
Laurent Michely France
Junzo Masamoto Japan
Piotr Pośpiech Poland
Vivek Arjunan Vasantha Singapore
Chuntao Cao China
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Citations per field
00.5×1.5×2.0×
Qiao Yuan · 1×
Citations per year

Countries citing papers authored by Kai Kan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 201945
3 201630
4 201227
5 198326
6 201420
7 201618
8 201117
9 201516
10 201615
11 201713
12 202012
13 198412
14 201712
15 201612
16 20219
17 20149
18 20189
19 20188
20 20168

About Kai Kan

Kai Kan is a scholar working on Organic Chemistry, Biomaterials, Materials Chemistry, Polymers and Plastics and Biomedical Engineering, having authored 35 papers that have together received 440 indexed citations. Recurring topics across this work include biodegradable polymer synthesis and properties (9 papers), Advanced Polymer Synthesis and Characterization (7 papers), Synthesis and properties of polymers (4 papers), Polymer Surface Interaction Studies (4 papers), Supramolecular Self-Assembly in Materials (4 papers), Catalytic Processes in Materials Science (3 papers), Hydrogels: synthesis, properties, applications (3 papers) and Antimicrobial agents and applications (2 papers). The work is most often cited by research in Process Chemistry and Technology (67 citations), Biomaterials (161 citations), Catalysis (43 citations), Organic Chemistry (142 citations) and Polymers and Plastics (57 citations). Kai Kan has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Hiroharu Ajiro, Mitsuru Akashi, Kazuya Kobiro, Tatsuo Kaneko, Masataka Ohtani, M.C. Petty, G.G. Roberts, Daisaku Kaneko, Shigenori Ueda and T. Hien Nguyen. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Pure and Applied Chemistry, RSC Advances, Diabetes Technology & Therapeutics and Chemistry Letters.

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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