Ke Fa

406 citations
10 papers · 321 · h-index 8

Impact in

    • Antimicrobial Peptides and Activities
    • Antimicrobial agents and applications
    • Polydiacetylene-based materials and applications

Papers in

    • Polydiacetylene-based materials and applications 4
    • Surfactants and Colloidal Systems 3
    • Lipid Membrane Structure and Behavior 7
    • Enzyme Catalysis and Immobilization 1

Ke Fa

10 papers receiving 319 citations

Peers

Ke Fa
Comparison fields: 5 of 64
  • Microbiology 207
  • Organic Chemistry 102
  • Biomaterials 44
  • Molecular Biology 193
  • Molecular Medicine 10
Replace Gayan Heruka De Zoysa with:
Gayan Heruka De Zoysa New Zealand
Josephine Gaynord United Kingdom
Nada Matougui France
Tomáš Deingruber United Kingdom
Josefine Eilsø Nielsen Norway
Searle S. Duay United States
Humaira Ilyas India
Giorgia Manzo Italy
Thomas P. Thompson United Kingdom
Alekhya Nimmagadda United States
Ke Fa relative to Gayan Heruka De Zoysa New Zealand Gayan Heruka De Zoysa's profile →
Citations per field
00.5×1.5×2.3×
Gayan Heruka De Zoysa · 1×
Citations per year

Countries citing papers authored by Ke Fa

Since Specialization
Citations

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

Fields of papers citing papers by Ke Fa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201979
2 202163
3 202046
4 202045
5 202337
6 202220
7 202116
8 20228
9 20214
10 20223

About Ke Fa

Ke Fa is a scholar working on Organic Chemistry, Molecular Biology, Microbiology, Biomaterials and Spectroscopy, having authored 10 papers that have together received 321 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Antimicrobial Peptides and Activities (7 papers), Polydiacetylene-based materials and applications (4 papers), Surfactants and Colloidal Systems (3 papers), Supramolecular Self-Assembly in Materials (2 papers), Analytical Chemistry and Chromatography (2 papers), Metabolism and Genetic Disorders (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Microbiology (207 citations), Organic Chemistry (102 citations), Biomaterials (44 citations), Molecular Biology (193 citations) and Molecular Medicine (10 citations). Ke Fa has collaborated with scholars based in United Kingdom, France and China. Frequent co-authors include Jian R. Lu, Haoning Gong, Xuzhi Hu, Thomas Andrew Waigh, Andrew J. McBain, Huayang Liu, Mingrui Liao, Zongyi Li, Luke A. Clifton and Daniela Ciumac. Their work appears in journals such as Journal of Colloid and Interface Science, ACS Applied Materials & Interfaces and Langmuir.

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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