Nora W. C. Chan

1.3k total citations
29 papers, 990 citations indexed

About

Nora W. C. Chan is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nora W. C. Chan has authored 29 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Biomedical Engineering and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nora W. C. Chan's work include Advanced biosensing and bioanalysis techniques (6 papers), Biosensors and Analytical Detection (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Nora W. C. Chan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Biosensors and Analytical Detection (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Nora W. C. Chan collaborates with scholars based in Canada, United States and Australia. Nora W. C. Chan's co-authors include Monica M. Palcic, Diane E. Taylor, Edgar A. Arriaga, Norman J. Dovic̀hi, Sergey N. Krylov, Zheru Zhang, Zhongming Ge, David C. Schriemer, Abebaw B. Jemere and Ge Wang and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and Analytical Chemistry.

In The Last Decade

Nora W. C. Chan

27 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nora W. C. Chan Canada 18 587 277 194 162 125 29 990
Yaming Shan China 18 447 0.8× 152 0.5× 49 0.3× 154 1.0× 35 0.3× 76 996
Petr Pompach Czechia 22 945 1.6× 78 0.3× 218 1.1× 207 1.3× 23 0.2× 60 1.3k
Hilde A. Rinia Netherlands 14 815 1.4× 204 0.7× 54 0.3× 77 0.5× 15 0.1× 20 1.4k
Tiehai Li China 21 807 1.4× 70 0.3× 663 3.4× 107 0.7× 29 0.2× 68 1.0k
Vincent L. G. Postis United Kingdom 16 908 1.5× 90 0.3× 59 0.3× 24 0.1× 22 0.2× 34 1.3k
Hasna Ahyayauch Spain 16 683 1.2× 91 0.3× 186 1.0× 28 0.2× 42 0.3× 36 921
Krisztina Fehér Hungary 19 512 0.9× 83 0.3× 155 0.8× 122 0.8× 17 0.1× 44 946
Anusha Sharma United States 4 468 0.8× 201 0.7× 106 0.5× 36 0.2× 21 0.2× 5 960
Elena Domínguez‐Vega Netherlands 25 721 1.2× 574 2.1× 36 0.2× 146 0.9× 20 0.2× 63 1.6k
H.B. Halsall United States 18 583 1.0× 192 0.7× 46 0.2× 46 0.3× 12 0.1× 54 898

Countries citing papers authored by Nora W. C. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Nora W. C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nora W. C. 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 Nora W. C. Chan. The network helps show where Nora W. C. Chan may publish in the future.

Co-authorship network of co-authors of Nora W. C. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Nora W. C. Chan. A scholar is included among the top collaborators of Nora W. C. 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 Nora W. C. Chan. Nora W. C. 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.
Pillai, Rajesh G., et al.. (2025). A Polydopamine-Based Molecularly Imprinted Electrochemical Sensor for Fentanyl Determination. ACS Omega. 10(33). 38292–38302.
2.
Chan, Nora W. C., et al.. (2024). An integrated digital microfluidic electrochemical impedimetric lipopolysaccharide sensor based on toll-like receptor-4 protein. Biosensors and Bioelectronics X. 16. 100433–100433. 3 indexed citations
3.
Pillai, Rajesh G., Khalid Azyat, Nora W. C. Chan, & Abebaw B. Jemere. (2024). Rapid assembly of mixed thiols for toll-like receptor-based electrochemical pathogen sensing. Analytical Methods. 16(41). 7021–7032. 1 indexed citations
4.
Pillai, Rajesh G., et al.. (2024). Electrochemical Determination of Fentanyl Using Carbon Nanofiber-Modified Electrodes. ACS Omega. 9(15). 17592–17601. 10 indexed citations
5.
Lin, Donghai, Kenneth D. Harris, Nora W. C. Chan, & Abebaw B. Jemere. (2017). Nanostructured indium tin oxide electrodes immobilized with toll-like receptor proteins for label-free electrochemical detection of pathogen markers. Sensors and Actuators B Chemical. 257. 324–330. 34 indexed citations
6.
Ebralidze, Iraklii I., et al.. (2016). Characterization of TLR4/MD-2-modified Au sensor surfaces towards the detection of molecular signatures of bacteria. Analytical Methods. 8(42). 7623–7631. 17 indexed citations
7.
Chan, Nora W. C., et al.. (2016). An electrochemical lipopolysaccharide sensor based on an immobilized Toll-Like Receptor-4. Biosensors and Bioelectronics. 87. 794–801. 31 indexed citations
8.
9.
Ng, Ella S.M., et al.. (2007). Frontal affinity chromatography—mass spectrometry. Nature Protocols. 2(8). 1907–1917. 43 indexed citations
10.
Moore, Graham J., Samir Roy, Lawrence J. Hayden, et al.. (2006). Hinge peptide combinatorial libraries for inhilbitors of botulinum neurotoxins and saxitoxin: Deconvolution strategy. Molecular Diversity. 10(1). 9–16. 6 indexed citations
11.
12.
Chan, Nora W. C., et al.. (2002). Frontal Affinity Chromatography for the Screening of Mixtures. Combinatorial Chemistry & High Throughput Screening. 5(5). 395–406. 24 indexed citations
13.
Krylov, Sergey N., et al.. (2000). Single-cell analysis avoids sample processing bias. Journal of Chromatography B Biomedical Sciences and Applications. 741(1). 31–35. 32 indexed citations
14.
Sujino, Keiko, R. Jackson, Nora W. C. Chan, Shingo Tsuji, & Monica M. Palcic. (2000). A novel viral  2,3-sialyltransferase (v-ST3Gal I): transfer of sialic acid to fucosylated acceptors. Glycobiology. 10(3). 313–320. 21 indexed citations
15.
Krylov, Sergey N., Edgar A. Arriaga, Nora W. C. Chan, Norman J. Dovic̀hi, & Monica M. Palcic. (2000). Metabolic Cytometry: Monitoring Oligosaccharide Biosynthesis in Single Cells by Capillary Electrophoresis. Analytical Biochemistry. 283(2). 133–135. 20 indexed citations
16.
Gerwig, Gerrit J., Ernst Bause, Lieve Nuytinck, et al.. (2000). A Novel Disorder Caused by Defective Biosynthesis of N-Linked Oligosaccharides Due to Glucosidase I Deficiency. The American Journal of Human Genetics. 66(6). 1744–1756. 139 indexed citations
17.
Laferté, Suzanne, Nora W. C. Chan, Keiko Sujino, Todd L. Lowary, & Monica M. Palcic. (2000). Intracellular inhibition of blood group A glycosyltransferase. European Journal of Biochemistry. 267(15). 4840–4849. 28 indexed citations
18.
Krylov, Sergey N., Zheru Zhang, Nora W. C. Chan, et al.. (1999). Correlating cell cycle with metabolism in single cells: Combination of image and metabolic cytometry. Cytometry. 37(1). 14–20. 80 indexed citations
19.
Ge, Zhongming, Nora W. C. Chan, Monica M. Palcic, & Diane E. Taylor. (1997). Cloning and Heterologous Expression of an α1,3-Fucosyltransferase Gene from the Gastric PathogenHelicobacter pylori. Journal of Biological Chemistry. 272(34). 21357–21363. 103 indexed citations
20.
Chan, Nora W. C., Richard Sherburne, Diane E. Taylor, et al.. (1995). The biosynthesis of Lewis X in Helicobacter pylori. Glycobiology. 5(7). 683–688. 59 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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