Kin‐Fai Chan

3.4k total citations · 1 hit paper
60 papers, 2.6k citations indexed

About

Kin‐Fai Chan is a scholar working on Molecular Biology, Organic Chemistry and Microbiology. According to data from OpenAlex, Kin‐Fai Chan has authored 60 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Organic Chemistry and 14 papers in Microbiology. Recurrent topics in Kin‐Fai Chan's work include Antimicrobial Peptides and Activities (14 papers), Antibiotic Resistance in Bacteria (10 papers) and Entrepreneurship Studies and Influences (9 papers). Kin‐Fai Chan is often cited by papers focused on Antimicrobial Peptides and Activities (14 papers), Antibiotic Resistance in Bacteria (10 papers) and Entrepreneurship Studies and Influences (9 papers). Kin‐Fai Chan collaborates with scholars based in Hong Kong, China and Canada. Kin‐Fai Chan's co-authors include Theresa Lau, Thomas Wing Yan Man, Tak Hang Chan, Iris L. K. Wong, Larry M. C. Chow, Kwok‐Yin Wong, Sheng Chen, Yunzhe Zhao, Edward Wai‐Chi Chan and Brendan A. Burkett and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Kin‐Fai Chan

58 papers receiving 2.4k citations

Hit Papers

The competitiveness of small and medium enterprises 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kin‐Fai Chan Hong Kong 23 821 537 479 374 365 60 2.6k
Laura E. Marler United States 26 513 0.6× 557 1.0× 210 0.4× 304 0.8× 1.4k 3.9× 65 3.2k
Joseph A. DiMasi United States 28 1.0k 1.2× 1.8k 3.4× 521 1.1× 234 0.6× 32 0.1× 70 8.6k
Henry G. Grabowski United States 40 1.7k 2.0× 1.5k 2.7× 867 1.8× 178 0.5× 61 0.2× 99 9.7k
Fang Wu China 34 476 0.6× 528 1.0× 2.1k 4.4× 120 0.3× 566 1.6× 172 5.9k
Ronald W. Hansen United States 8 585 0.7× 1.3k 2.4× 298 0.6× 166 0.4× 18 0.0× 9 5.2k
David L. Hughes United States 31 94 0.1× 663 1.2× 332 0.7× 1.3k 3.6× 209 0.6× 87 4.7k
Weiwei Wu China 26 64 0.1× 233 0.4× 421 0.9× 74 0.2× 173 0.5× 123 2.1k
Song Chang Hong Kong 28 193 0.2× 608 1.1× 578 1.2× 181 0.5× 1.1k 3.1× 73 4.1k
Jeanette Teo Singapore 30 66 0.1× 580 1.1× 543 1.1× 108 0.3× 150 0.4× 95 3.6k
Young‐Ah Kim South Korea 15 102 0.1× 619 1.2× 194 0.4× 531 1.4× 58 0.2× 38 1.3k

Countries citing papers authored by Kin‐Fai Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kin‐Fai Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin‐Fai Chan. 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 Kin‐Fai Chan. The network helps show where Kin‐Fai Chan may publish in the future.

Co-authorship network of co-authors of Kin‐Fai Chan

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

All Works

20 of 20 papers shown
1.
Jin, Wenbin, Chen Xu, Ning Dong, et al.. (2023). Identification of isothiazolones analogues as potent bactericidal agents against antibiotic resistant CRE and MRSA strains. BMC Chemistry. 17(1). 183–183. 3 indexed citations
2.
Zeng, Ping, Xuemei Yang, Kwok‐Yin Wong, et al.. (2023). A dextrorotatory residues-incorporated bioactive dodecapeptide against enterohemorrhagic Escherichia coli. SHILAP Revista de lepidopterología. 210–220. 1 indexed citations
3.
Yi, Lanhua, Ping Zeng, Kwok‐Yin Wong, Kin‐Fai Chan, & Sheng Chen. (2021). Controlling Listeria monocytogenes in ready-to-eat leafy greens by amphipathic α-helix peptide zp80 and its antimicrobial mechanisms. LWT. 152. 112412–112412. 15 indexed citations
4.
Wong, Iris L. K., Kin‐Fai Chan, Zhen Liu, et al.. (2021). Flavonoid Monomers as Potent, Nontoxic, and Selective Modulators of the Breast Cancer Resistance Protein (ABCG2). Journal of Medicinal Chemistry. 64(19). 14311–14331. 11 indexed citations
5.
6.
Yi, Lanhua, Ping Zeng, Kwok‐Yin Wong, et al.. (2021). Antimicrobial peptide zp37 inhibits Escherichia coli O157:H7 in alfalfa sprouts by inflicting damage in cell membrane and binding to DNA. LWT. 146. 111392–111392. 27 indexed citations
7.
Jin, Wenbin, Chen Xu, Ping Zeng, et al.. (2021). Synthesis of 1,3,4-trisubstituted pyrrolidines as meropenem adjuvants targeting New Delhi metallo-β-lactamase. New Journal of Chemistry. 45(7). 3515–3534. 6 indexed citations
9.
Wang, Yong, Kin‐Fai Chan, Pui‐Kin So, et al.. (2020). Hydrophobic substituents on isatin derivatives enhance their inhibition against bacterial peptidoglycan glycosyltransferase activity. Bioorganic Chemistry. 97. 103710–103710. 11 indexed citations
10.
11.
Wong, Iris L. K., et al.. (2019). Triazole Bridged Flavonoid Dimers as Potent, Nontoxic, and Highly Selective Breast Cancer Resistance Protein (BCRP/ABCG2) Inhibitors. Journal of Medicinal Chemistry. 62(18). 8578–8608. 34 indexed citations
12.
Zeng, Ping, Chen Xu, Qipeng Cheng, et al.. (2019). Phenol‐Soluble‐Modulin‐Inspired Amphipathic Peptides Have Bactericidal Activity against Multidrug‐Resistant Bacteria. ChemMedChem. 14(16). 1547–1559. 15 indexed citations
13.
Gao, Wei, Wenbin Jin, Ning Sun, et al.. (2018). Boosting the efficacy of anti-MRSA β-lactam antibiotics via an easily accessible, non-cytotoxic and orally bioavailable FtsZ inhibitor. European Journal of Medicinal Chemistry. 163. 95–115. 27 indexed citations
14.
Jin, Wenbin, Chen Xu, Qipeng Cheng, et al.. (2018). Investigation of synergistic antimicrobial effects of the drug combinations of meropenem and 1,2-benzisoselenazol-3(2H)-one derivatives on carbapenem-resistant Enterobacteriaceae producing NDM-1. European Journal of Medicinal Chemistry. 155. 285–302. 44 indexed citations
15.
Fang, Zhiyuan, Kin‐Fai Chan, Wenchang Yuan, et al.. (2018). Design, synthesis and antibacterial evaluation of 2,4-disubstituted-6-thiophenyl-pyrimidines. European Journal of Medicinal Chemistry. 161. 141–153. 50 indexed citations
17.
Lorendeau, Doriane, Iris L. K. Wong, Kin‐Fai Chan, et al.. (2016). Flavonoid dimers are highly potent killers of multidrug resistant cancer cells overexpressing MRP1. Biochemical Pharmacology. 124. 10–18. 30 indexed citations
18.
Chan, Kin‐Fai, et al.. (2012). Amine Linked Flavonoid Dimers as Modulators for P-Glycoprotein-Based Multidrug Resistance: Structure–Activity Relationship and Mechanism of Modulation. Journal of Medicinal Chemistry. 55(5). 1999–2014. 68 indexed citations
19.
Wong, Iris L. K., et al.. (2009). Modulation of Multidrug Resistance Protein 1 (MRP1/ABCC1)-Mediated Multidrug Resistance by Bivalent Apigenin Homodimers and Their Derivatives. Journal of Medicinal Chemistry. 52(17). 5311–5322. 77 indexed citations
20.
Chan, Kin‐Fai, Yunzhe Zhao, Dik‐Lung Ma, et al.. (2009). Flavonoid Dimers as Bivalent Modulators for P‐Glycoprotein‐Based Multidrug Resistance: Structure–Activity Relationships. ChemMedChem. 4(4). 594–614. 47 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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