Ke Fa

406 total citations
10 papers, 321 citations indexed

About

Ke Fa is a scholar working on Organic Chemistry, Molecular Biology and Microbiology. According to data from OpenAlex, Ke Fa has authored 10 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 8 papers in Molecular Biology and 7 papers in Microbiology. Recurrent topics in Ke Fa's work include Lipid Membrane Structure and Behavior (7 papers), Antimicrobial Peptides and Activities (7 papers) and Polydiacetylene-based materials and applications (4 papers). Ke Fa is often cited by papers focused on Lipid Membrane Structure and Behavior (7 papers), Antimicrobial Peptides and Activities (7 papers) and Polydiacetylene-based materials and applications (4 papers). Ke Fa collaborates with scholars based in United Kingdom, France and China. Ke Fa's co-authors include Jian R. Lu, Haoning Gong, Xuzhi Hu, Andrew J. McBain, Thomas Andrew Waigh, Huayang Liu, Mingrui Liao, Zongyi Li, Luke A. Clifton and Mario Campana and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and Journal of Colloid and Interface Science.

In The Last Decade

Ke Fa

10 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Fa United Kingdom 8 207 193 102 44 24 10 321
Gayan Heruka De Zoysa New Zealand 10 190 0.9× 202 1.0× 133 1.3× 36 0.8× 16 0.7× 17 356
Josephine Gaynord United Kingdom 5 268 1.3× 291 1.5× 103 1.0× 25 0.6× 36 1.5× 5 425
Josefine Eilsø Nielsen Norway 13 264 1.3× 327 1.7× 111 1.1× 64 1.5× 27 1.1× 26 496
Michaela Stach Switzerland 8 231 1.1× 256 1.3× 153 1.5× 21 0.5× 12 0.5× 8 413
Nada Matougui France 8 165 0.8× 247 1.3× 79 0.8× 49 1.1× 88 3.7× 8 415
Tomáš Deingruber United Kingdom 3 260 1.3× 226 1.2× 66 0.6× 21 0.5× 37 1.5× 6 358
Humaira Ilyas India 9 179 0.9× 199 1.0× 50 0.5× 25 0.6× 24 1.0× 13 339
Alekhya Nimmagadda United States 13 307 1.5× 313 1.6× 322 3.2× 33 0.8× 12 0.5× 18 556
Fernando G. Dupuy Argentina 13 113 0.5× 299 1.5× 74 0.7× 19 0.4× 61 2.5× 26 419

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-authorship network of co-authors of Ke Fa

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

All Works

10 of 10 papers shown
1.
Gong, Haoning, Xuzhi Hu, Lin Zhang, et al.. (2023). How do antimicrobial peptides disrupt the lipopolysaccharide membrane leaflet of Gram-negative bacteria?. Journal of Colloid and Interface Science. 637. 182–192. 37 indexed citations
2.
Liu, Huayang, Ke Fa, Xuzhi Hu, et al.. (2022). Structural features of interfacially adsorbed acyl-l-carnitines. Journal of Colloid and Interface Science. 623. 368–377. 3 indexed citations
3.
Fa, Ke, Huayang Liu, Zongyi Li, et al.. (2022). Acyl chain length tuning improves antimicrobial potency and biocompatibility of short designed lipopeptides. Journal of Colloid and Interface Science. 630(Pt B). 911–923. 8 indexed citations
5.
Gong, Haoning, Xuzhi Hu, Mingrui Liao, et al.. (2021). Structural Disruptions of the Outer Membranes of Gram-Negative Bacteria by Rationally Designed Amphiphilic Antimicrobial Peptides. ACS Applied Materials & Interfaces. 13(14). 16062–16074. 63 indexed citations
6.
Liu, Huayang, Ke Fa, Xuzhi Hu, et al.. (2021). How do chain lengths of acyl-l-carnitines affect their surface adsorption and solution aggregation?. Journal of Colloid and Interface Science. 609. 491–502. 4 indexed citations
7.
Liu, Huayang, Xuzhi Hu, Zongyi Li, et al.. (2021). Surface adsorption and solution aggregation of a novel lauroyl-l-carnitine surfactant. Journal of Colloid and Interface Science. 591. 106–114. 16 indexed citations
8.
Gong, Haoning, Mingrui Liao, Xuzhi Hu, et al.. (2020). Aggregated Amphiphilic Antimicrobial Peptides Embedded in Bacterial Membranes. ACS Applied Materials & Interfaces. 12(40). 44420–44432. 45 indexed citations
9.
Gong, Haoning, Marc‐Antoine Sani, Xuzhi Hu, et al.. (2020). How do Self-Assembling Antimicrobial Lipopeptides Kill Bacteria?. ACS Applied Materials & Interfaces. 12(50). 55675–55687. 46 indexed citations
10.
Gong, Haoning, Xuzhi Hu, Zongyi Li, et al.. (2019). Hydrophobic Control of the Bioactivity and Cytotoxicity of de Novo-Designed Antimicrobial Peptides. ACS Applied Materials & Interfaces. 11(38). 34609–34620. 79 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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