Thalia E. Chan

1.1k total citations
5 papers, 562 citations indexed

About

Thalia E. Chan is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Thalia E. Chan has authored 5 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Biophysics. Recurrent topics in Thalia E. Chan's work include Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (4 papers) and Cancer Genomics and Diagnostics (1 paper). Thalia E. Chan is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (4 papers) and Cancer Genomics and Diagnostics (1 paper). Thalia E. Chan collaborates with scholars based in United Kingdom, Netherlands and Italy. Thalia E. Chan's co-authors include Ann C. Babtie, Michael P. H. Stumpf, Rosanna C. G. Smith, Fumio Arai, Frank Müller, Colin P. Please, Ben D. MacArthur, Andreas Schuppert, Michael Lenz and Sam Howison and has published in prestigious journals such as Nature Communications, Cell Systems and Methods in molecular biology.

In The Last Decade

Thalia E. Chan

5 papers receiving 557 citations

Peers

Thalia E. Chan
Siyan Liu United States
Aditya Pratapa United States
Jean‐Baptiste Pettit United Kingdom
Hani Jieun Kim Australia
Chin‐Jen Ku United States
Siyan Liu United States
Thalia E. Chan
Citations per year, relative to Thalia E. Chan Thalia E. Chan (= 1×) peers Siyan Liu

Countries citing papers authored by Thalia E. Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thalia E. Chan

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

All Works

5 of 5 papers shown
1.
Chan, Thalia E., Michael P. H. Stumpf, & Ann C. Babtie. (2019). Gene Regulatory Networks from Single Cell Data for Exploring Cell Fate Decisions. Methods in molecular biology. 1975. 211–238. 3 indexed citations
2.
Hong, Sung Pil, Thalia E. Chan, Ylenia Lombardo, et al.. (2019). Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy. Nature Communications. 10(1). 3840–3840. 87 indexed citations
3.
Stumpf, Patrick S., Rosanna C. G. Smith, Michael Lenz, et al.. (2017). Stem Cell Differentiation as a Non-Markov Stochastic Process. Cell Systems. 5(3). 268–282.e7. 114 indexed citations
4.
Chan, Thalia E., Michael P. H. Stumpf, & Ann C. Babtie. (2017). Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures. Cell Systems. 5(3). 251–267.e3. 339 indexed citations
5.
Babtie, Ann C., Thalia E. Chan, & Michael P. H. Stumpf. (2017). Learning regulatory models for cell development from single cell transcriptomic data. Current Opinion in Systems Biology. 5. 72–81. 19 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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