Frances Chan

547 total citations
12 papers, 422 citations indexed

About

Frances Chan is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Frances Chan has authored 12 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Biomedical Engineering. Recurrent topics in Frances Chan's work include Molecular Biology Techniques and Applications (7 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). Frances Chan is often cited by papers focused on Molecular Biology Techniques and Applications (7 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). Frances Chan collaborates with scholars based in United States, China and Hong Kong. Frances Chan's co-authors include Yulei Wang, Cátálin Bárbácioru, Raymond R. Samaha, Julie Blake, Wenming Xiao, Lu Zhang, Carolyn Gonzalez, Fiona Hyland, Stephen J. Walker and Gary M. Hellmann and has published in prestigious journals such as PLoS ONE, Cancer Research and BMC Bioinformatics.

In The Last Decade

Frances Chan

11 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frances Chan United States 7 226 72 59 51 37 12 422
Zhenqiang Xu China 13 143 0.6× 82 1.1× 124 2.1× 77 1.5× 56 1.5× 34 494
Robert Hislop United Kingdom 12 260 1.2× 86 1.2× 71 1.2× 49 1.0× 67 1.8× 20 579
Ai Chen China 12 330 1.5× 42 0.6× 63 1.1× 43 0.8× 26 0.7× 39 523
Nuruliarizki Shinta Pandupuspitasari China 12 221 1.0× 49 0.7× 46 0.8× 43 0.8× 24 0.6× 35 389
Rute Pereira Portugal 9 211 0.9× 67 0.9× 196 3.3× 58 1.1× 30 0.8× 19 573
S. Ramalingam India 9 124 0.5× 74 1.0× 89 1.5× 19 0.4× 28 0.8× 31 405
Guoquan Liu China 13 175 0.8× 41 0.6× 31 0.5× 81 1.6× 34 0.9× 24 375
Rose Rose United States 9 87 0.4× 60 0.8× 83 1.4× 43 0.8× 55 1.5× 30 419
Honghui Zeng China 12 295 1.3× 33 0.5× 61 1.0× 75 1.5× 22 0.6× 38 471
Prashant V. Thakkar United States 7 432 1.9× 58 0.8× 56 0.9× 54 1.1× 51 1.4× 13 576

Countries citing papers authored by Frances Chan

Since Specialization
Citations

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

Fields of papers citing papers by Frances Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frances Chan

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

All Works

12 of 12 papers shown
1.
Casuga, Iris, et al.. (2022). Abstract 2944: Rapid and accurate variant calling of FFPE samples with the Genexus System. Cancer Research. 82(12_Supplement). 2944–2944.
2.
Ng, Serena, et al.. (2018). Correlation of Neuro-cognition and Social Cognition of People with Schizophrenia. 4(1). 2 indexed citations
3.
Chan, Frances, et al.. (2016). Abstract 402: Multiplex TaqMan assays for rare mutation analysis using digital PCR. Cancer Research. 76(14_Supplement). 402–402. 1 indexed citations
4.
Chan, Frances, et al.. (2015). Abstract 5251: TaqMan® rare mutation assays for QuantStudio® 3D digital PCR system. Cancer Research. 75(15_Supplement). 5251–5251. 2 indexed citations
6.
Wang, Yulei, Cátálin Bárbácioru, Dov Shiffman, et al.. (2007). Gene Expression Signature in Peripheral Blood Detects Thoracic Aortic Aneurysm. PLoS ONE. 2(10). e1050–e1050. 72 indexed citations
7.
Wang, Yulei, Cátálin Bárbácioru, Fiona Hyland, et al.. (2006). Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays. BMC Genomics. 7(1). 59–59. 238 indexed citations
8.
Bárbácioru, Cátálin, Yulei Wang, Yongming Sun, et al.. (2006). Effect of various normalization methods on Applied Biosystems expression array system data. BMC Bioinformatics. 7(1). 533–533. 37 indexed citations
9.
Walker, Stephen J., et al.. (2005). Long versus short oligonucleotide microarrays for the study of gene expression in nonhuman primates. Journal of Neuroscience Methods. 152(1-2). 179–189. 33 indexed citations
10.
Hung, Victor, et al.. (2005). Characterization of a Karenia papilionacea-like dinoflagellate from the South China Sea. Journal of the Marine Biological Association of the United Kingdom. 85(4). 779–781. 12 indexed citations
11.
Chan, Frances, et al.. (1994). In Situ Hybridization of mRNA with Biotin and Digoxigenin Labeled Probes. Journal of Histotechnology. 17(4). 307–312. 7 indexed citations
12.
Poulos, H G & Frances Chan. (1986). Model pile skin friction in calcareous sand. 17(2). 4 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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