Hanhong Dan

534 total citations
20 papers, 427 citations indexed

About

Hanhong Dan is a scholar working on Biotechnology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Hanhong Dan has authored 20 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biotechnology, 7 papers in Biomedical Engineering and 5 papers in Infectious Diseases. Recurrent topics in Hanhong Dan's work include Listeria monocytogenes in Food Safety (7 papers), Biosensors and Analytical Detection (7 papers) and Microbial Inactivation Methods (5 papers). Hanhong Dan is often cited by papers focused on Listeria monocytogenes in Food Safety (7 papers), Biosensors and Analytical Detection (7 papers) and Microbial Inactivation Methods (5 papers). Hanhong Dan collaborates with scholars based in Canada, United States and France. Hanhong Dan's co-authors include Min Lin, John F. Prescott, Adrian D. C. Chan, Geoffrey C. Green, Kayo Suzuki, Vivian M. Nicholson, Stephen A. Hines, Daisuke Takamatsu, Tsutomu Kakuda and Shinji Takaı̈ and has published in prestigious journals such as Journal of Biological Chemistry, Infection and Immunity and Analytica Chimica Acta.

In The Last Decade

Hanhong Dan

18 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanhong Dan Canada 11 177 128 112 95 73 20 427
Mikala Wang Denmark 15 173 1.0× 149 1.2× 32 0.3× 146 1.5× 60 0.8× 32 620
Deborah Horst-Kreft Netherlands 11 319 1.8× 78 0.6× 37 0.3× 298 3.1× 16 0.2× 18 693
Ulrich Eigner Germany 15 374 2.1× 73 0.6× 81 0.7× 164 1.7× 17 0.2× 31 803
Gefion Franke Germany 13 372 2.1× 37 0.3× 40 0.4× 386 4.1× 41 0.6× 26 725
David McKenney United States 12 400 2.3× 101 0.8× 23 0.2× 627 6.6× 73 1.0× 15 894
Kevin Chiem United States 18 514 2.9× 46 0.4× 46 0.4× 321 3.4× 34 0.5× 51 961
Paphavee Lertsethtakarn Thailand 10 153 0.9× 105 0.8× 33 0.3× 164 1.7× 19 0.3× 24 566
A. Foddai United Kingdom 14 105 0.6× 42 0.3× 173 1.5× 198 2.1× 16 0.2× 28 640
Hanna Bialkowska-Hobrzanska Canada 15 177 1.0× 61 0.5× 30 0.3× 287 3.0× 17 0.2× 26 597
Masato Higashide Japan 14 388 2.2× 73 0.6× 21 0.2× 342 3.6× 15 0.2× 22 689

Countries citing papers authored by Hanhong Dan

Since Specialization
Citations

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

Fields of papers citing papers by Hanhong Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanhong Dan

This figure shows the co-authorship network connecting the top 25 collaborators of Hanhong Dan. A scholar is included among the top collaborators of Hanhong Dan 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 Hanhong Dan. Hanhong Dan 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.
2.
Yilmaz, Gökhan, Maria F. Chan, John Devenish, et al.. (2025). Food-borne microbes influence conjugative transfer of antimicrobial resistance plasmids in pre-disturbed gut microbiome. Canadian Journal of Microbiology. 71. 1–11.
3.
Kang, Mingsong, et al.. (2025). Complete genome sequences of six Serratia strains with multiple resistance genes isolated from food products in Canada. Microbiology Resource Announcements. 14(7). e0030125–e0030125.
4.
Mitchell, Gordon, et al.. (2024). Optimization of RT-QuIC Assay Duration for Screening Chronic Wasting Disease in White-Tailed Deer. Veterinary Sciences. 11(2). 60–60. 1 indexed citations
5.
Wang, Zhong, Jean‐Philippe St‐Pierre, Hanhong Dan, et al.. (2023). Multivalent aptamer meshed open pore membrane and signal amplification for high-flux and ultra sensitive whole cell detection of E. coli O157:H7 in complex food matrices. Sensors and Actuators B Chemical. 394. 134378–134378. 6 indexed citations
6.
Dan, Hanhong, et al.. (2023). Targeting Novel LPXTG Surface Proteins with Monoclonal Antibodies for Immunomagnetic Separation of Listeria monocytogenes. Foodborne Pathogens and Disease. 20(5). 186–196. 3 indexed citations
7.
Lin, Min & Hanhong Dan. (2023). Design of a novel affinity probe using the cell wall-binding domain of a Listeria monocytogenes autolysin for pathogen detection. Microbiology Spectrum. 11(6). e0535622–e0535622. 2 indexed citations
8.
Jiang, Yuqian, Xiuying Yang, Min Lin, et al.. (2021). In situ rolling circle amplification surface modifications to improve E. coli O157:H7 capturing performances for rapid and sensitive microfluidic detection applications. Analytica Chimica Acta. 1150. 338229–338229. 20 indexed citations
9.
Devenish, John, Mingsong Kang, Hanhong Dan, et al.. (2021). Mobility of β-lactam resistance under ampicillin treatment in gut microbiota suffering from pre-disturbance. Microbial Genomics. 7(12). 3 indexed citations
10.
11.
Green, Geoffrey C., Adrian D. C. Chan, Hanhong Dan, & Min Lin. (2010). Using a metal oxide sensor (MOS)-based electronic nose for discrimination of bacteria based on individual colonies in suspension. Sensors and Actuators B Chemical. 152(1). 21–28. 51 indexed citations
12.
Lin, Min, et al.. (2009). Screening and characterization of monoclonal antibodies to the surface antigens ofListeria monocytogenesserotype 4b. Journal of Applied Microbiology. 106(5). 1705–1714. 11 indexed citations
13.
Dan, Hanhong, Aru Balachandran, & Min Lin. (2009). A pair of ligation-independent Escherichia coli expression vectors for rapid addition of a polyhistidine affinity tag to the N- or C-termini of recombinant proteins.. PubMed. 20(5). 241–8. 10 indexed citations
14.
Chan, Adrian D. C., et al.. (2009). Identification of Listeria Species Using a Low-Cost Surface-Enhanced Raman Scattering System With Wavelet-Based Signal Processing. IEEE Transactions on Instrumentation and Measurement. 58(10). 3713–3722. 17 indexed citations
15.
16.
Dan, Hanhong, et al.. (2007). Novel protein targets of the humoral immune response to Listeria monocytogenes infection in rabbits. Journal of Medical Microbiology. 56(7). 888–895. 18 indexed citations
17.
Lin, Min, et al.. (2006). Monoclonal antibodies binding to the cell surface of Listeria monocytogenes serotype 4b. Journal of Medical Microbiology. 55(3). 291–299. 24 indexed citations
18.
Lin, Min, Hanhong Dan, & Yijing Li. (2004). Identification of a Second Flagellin Gene and Functional Characterization of a ? 70 -like Promoter Upstream of a Leptospira borgpetersenii flaB Gene. Current Microbiology. 48(2). 145–152. 6 indexed citations
19.
Garton, Natalie J., Martine Gilleron, Thérèse Brando, et al.. (2002). A Novel Lipoarabinomannan from the Equine PathogenRhodococcus equi. Journal of Biological Chemistry. 277(35). 31722–31733. 77 indexed citations
20.
Takaı̈, Shinji, Stephen A. Hines, Tsutomu Sekizaki, et al.. (2000). DNA Sequence and Comparison of Virulence Plasmids from Rhodococcus equi ATCC 33701 and 103. Infection and Immunity. 68(12). 6840–6847. 148 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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