Frances Chan

548 citations
12 papers · 422 · h-index 7

Impact in

    • Molecular Biology Techniques and Applications
    • Gene expression and cancer classification
    • RNA Research and Splicing
    • RNA modifications and cancer
    • MicroRNA in disease regulation

Papers in

    • Molecular Biology Techniques and Applications 5
    • Gene expression and cancer classification 2
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 1
    • Cancer Genomics and Diagnostics 3

Frances Chan

11 papers receiving 409 citations

Peers

Frances Chan
Comparison fields: 5 of 92
  • Molecular Biology 188
  • Cancer Research 32
  • Pulmonary and Respiratory Medicine 59
  • Microbiology 12
  • Genetics 45
Replace Yasuko Baba with:
Yasuko Baba Japan
Yiru Wu China
J Mahler United States
Xiaomei Zhu China
Xinglu Chen China
Rute Pereira Portugal
Shiqi Ren China
Guoquan Liu China
Andrew Crenshaw United States
Alina Fedoseienko United States
Frances Chan relative to Yasuko Baba Japan Yasuko Baba's profile →
Citations per field
00.5×1.5×
Yasuko Baba · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Frances Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frances Chan Line = papers co-authored together Frances Chan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006238
2 200772
3 200637
4 200533
5 200914
6 200512
7 19947
8
Model pile skin friction in calcareous sand
19864
9 20182
10 20152
11 20161
12 20220

About Frances Chan

Frances Chan is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Civil and Structural Engineering and Oceanography, having authored 12 papers that have together received 422 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Cancer Genomics and Diagnostics (3 papers), Gene expression and cancer classification (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (1 paper), Geotechnical Engineering and Soil Mechanics (1 paper) and Geotechnical Engineering and Underground Structures (1 paper). The work is most often cited by research in Molecular Biology (188 citations), Cancer Research (32 citations), Pulmonary and Respiratory Medicine (59 citations), Microbiology (12 citations) and Genetics (45 citations). Frances Chan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yulei Wang, Raymond R. Samaha, Cátálin Bárbácioru, Julie Blake, Fiona Hyland, Lu Zhang, Carolyn Gonzalez, Wenming Xiao, Gary M. Hellmann and Stephen J. Walker. Their work appears in journals such as Cancer Research, Sexually Transmitted Infections, PLoS ONE, BMC Genomics and BMC Bioinformatics.

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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