Thalia E. Chan
Impact in
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Developmental Biology and Gene Regulation
- Pluripotent Stem Cells Research
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- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
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- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 2
- Pluripotent Stem Cells Research 1
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- Breast Cancer Treatment Studies 1
- Cancer Genomics and Diagnostics 1
- Co-authors
- Ann C. Babtie (4 shared papers)Rosanna C. G. Smith (1 shared paper)Patrick S. Stumpf (1 shared paper)Ben D. MacArthur (1 shared paper)Fumio Arai (1 shared paper)Andreas Schuppert (1 shared paper)Sam Howison (1 shared paper)Colin P. Please (1 shared paper)
- Journals
- Cell Systems (2 papers)Nature Communications (1 paper)Current Opinion in Systems Biology (1 paper)Methods in molecular biology (1 paper)Spiral (Imperial College London) (1 paper)
- Partner nations
- United KingdomGermanySouth Korea
In The Last Decade
Thalia E. Chan
6 papers receiving 644 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 517
- Cancer Research 46
- Oncology 45
- Modeling and Simulation 10
- Statistical and Nonlinear Physics 18
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 19 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 | 397 | |
| 2 | 2017 | 132 | |
| 3 | 2019 | 94 | |
| 4 | 2017 | 22 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 1 |
About Thalia E. Chan
Thalia E. Chan is a scholar working on Molecular Biology, Cancer Research, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 6 papers that have together received 648 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Single-cell and spatial transcriptomics (2 papers), Pluripotent Stem Cells Research (1 paper), Breast Cancer Treatment Studies (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (517 citations), Cancer Research (46 citations), Oncology (45 citations), Modeling and Simulation (10 citations) and Statistical and Nonlinear Physics (18 citations). Thalia E. Chan has collaborated with scholars based in United Kingdom, Germany and South Korea. Frequent co-authors include Ann C. Babtie, Rosanna C. G. Smith, Patrick S. Stumpf, Ben D. MacArthur, Fumio Arai, Andreas Schuppert, Sam Howison, Colin P. Please, Giancarlo Pruneri and Luca Magnani. Their work appears in journals such as Cell Systems, Nature Communications, Current Opinion in Systems Biology, Methods in molecular biology and Spiral (Imperial College London).
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.