Thalia E. Chan
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Pluripotent Stem Cells Research
Papers in
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- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 4
- Pluripotent Stem Cells Research 1
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Oncology 1
- Cancer Cells and Metastasis 1
- Co-authors
- Michael P. H. Stumpf (4 shared papers)Ann C. Babtie (4 shared papers)Patrick S. Stumpf (1 shared paper)Andreas Schuppert (1 shared paper)Ben D. MacArthur (1 shared paper)Sam Howison (1 shared paper)Michael Lenz (1 shared paper)Fumio Arai (1 shared paper)
- Journals
- Cell Systems (2 papers)Current Opinion in Systems Biology (1 paper)Nature Communications (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United KingdomItalyNetherlands
In The Last Decade
Thalia E. Chan
5 papers receiving 593 citations
Peers
Comparison fields: 5 of 63
- Biophysics 82
- Molecular Biology 509
- Cancer Research 75
- Aging 6
- Modeling and Simulation 14
Countries citing papers authored by Thalia E. Chan
This map shows the geographic impact of Thalia E. 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 Thalia E. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thalia E. Chan more than expected).
Fields of papers citing papers by Thalia E. Chan
This network shows the impact of papers produced by Thalia E. 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 Thalia E. Chan. The network helps show where Thalia E. Chan may publish in the future.
Co-authors
The 21 scholars most cited alongside Thalia E. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 365 | |
| 2 | 2017 | 121 | |
| 3 | 2019 | 88 | |
| 4 | 2017 | 21 | |
| 5 | 2019 | 3 |
About Thalia E. Chan
Thalia E. Chan is a scholar working on Molecular Biology, Oncology, Biophysics, Cancer Research and Biomedical Engineering, having authored 5 papers that have together received 598 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), Pluripotent Stem Cells Research (1 paper), 3D Printing in Biomedical Research (1 paper), Gene expression and cancer classification (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Biophysics (82 citations), Molecular Biology (509 citations), Cancer Research (75 citations), Aging (6 citations) and Modeling and Simulation (14 citations). Thalia E. Chan has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Michael P. H. Stumpf, Ann C. Babtie, Patrick S. Stumpf, Andreas Schuppert, Ben D. MacArthur, Sam Howison, Michael Lenz, Fumio Arai, Colin P. Please and Rosanna C. G. Smith. Their work appears in journals such as Cell Systems, Current Opinion in Systems Biology, Nature Communications and Methods in molecular biology.
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.