Tyrone Chen

434 total citations
12 papers, 177 citations indexed

About

Tyrone Chen is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Tyrone Chen has authored 12 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Oncology. Recurrent topics in Tyrone Chen's work include Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (3 papers). Tyrone Chen is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (3 papers). Tyrone Chen collaborates with scholars based in Australia, Sweden and United States. Tyrone Chen's co-authors include Christine A. Wells, Sonika Tyagi, Kim‐Anh Lê Cao, Othmar Korn, Rowland Mosbergen, Ali Motazedian, Edouard G. Stanley, Andrew G. Elefanty, Jarny Choi and Ann P. Chidgey and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Nature Cell Biology.

In The Last Decade

Tyrone Chen

11 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyrone Chen Australia 8 104 41 34 31 29 12 177
Laia Muixí Spain 8 84 0.8× 12 0.3× 32 0.9× 23 0.7× 30 1.0× 11 191
Amritha Varshini Hanasoge Somasundara United States 5 95 0.9× 50 1.2× 40 1.2× 11 0.4× 7 0.2× 6 168
Mohammed Bangash Saudi Arabia 7 101 1.0× 42 1.0× 33 1.0× 37 1.2× 36 1.2× 16 214
Sébastien Rinaldetti Germany 10 112 1.1× 16 0.4× 55 1.6× 42 1.4× 74 2.6× 17 204
Andrea Favero Italy 7 98 0.9× 11 0.3× 60 1.8× 45 1.5× 17 0.6× 9 201
Andrea Plaja Spain 5 75 0.7× 52 1.3× 41 1.2× 21 0.7× 26 0.9× 11 170
Stéphane M. Camus France 8 159 1.5× 60 1.5× 19 0.6× 13 0.4× 23 0.8× 10 279
Robert F. Koncar United States 5 69 0.7× 36 0.9× 39 1.1× 23 0.7× 31 1.1× 7 143
Yajas Shah United States 7 142 1.4× 23 0.6× 40 1.2× 42 1.4× 8 0.3× 14 238

Countries citing papers authored by Tyrone Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tyrone Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyrone Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tyrone Chen. A scholar is included among the top collaborators of Tyrone Chen 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 Tyrone Chen. Tyrone Chen 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
2.
Mason, Elizabeth A., Stefanie Dudczig, Tyrone Chen, et al.. (2023). Single‐cell analysis of lymphatic endothelial cell fate specification and differentiation during zebrafish development. The EMBO Journal. 42(11). e112590–e112590. 15 indexed citations
3.
Chen, Tyrone, et al.. (2021). A Survey of Current Resources to Study lncRNA-Protein Interactions. Non-Coding RNA. 7(2). 33–33. 11 indexed citations
4.
Chen, Tyrone, et al.. (2021). Multi-omics data harmonisation for the discovery of COVID-19 drug targets. Figshare. 9. 1 indexed citations
5.
Chen, Tyrone, et al.. (2021). A multi-modal data harmonisation approach for discovery of COVID-19 drug targets. Briefings in Bioinformatics. 22(6). 7 indexed citations
6.
Angel, Paul W., et al.. (2020). A simple, scalable approach to building a cross-platform transcriptome atlas. PLoS Computational Biology. 16(9). e1008219–e1008219. 14 indexed citations
7.
Motazedian, Ali, Freya Bruveris, Santhosh V. Kumar, et al.. (2020). Multipotent RAG1+ progenitors emerge directly from haemogenic endothelium in human pluripotent stem cell-derived haematopoietic organoids. Nature Cell Biology. 22(1). 60–73. 35 indexed citations
8.
Chen, Tyrone & Sonika Tyagi. (2020). Integrative computational epigenomics to build data-driven gene regulation hypotheses. GigaScience. 9(6). 13 indexed citations
9.
Choi, Jarny, Rowland Mosbergen, Othmar Korn, et al.. (2018). Stemformatics: visualize and download curated stem cell data. Nucleic Acids Research. 47(D1). D841–D846. 24 indexed citations
10.
Rohart, Florian, Elizabeth A. Mason, Nicholas Matigian, et al.. (2016). A molecular classification of human mesenchymal stromal cells. PeerJ. 4. e1845–e1845. 33 indexed citations
11.
Sinclair, Kenneth, Stephanie T. Yerkovich, Tyrone Chen, et al.. (2016). Mesenchymal Stromal Cells are Readily Recoverable from Lung Tissue, but not the Alveolar Space, in Healthy Humans. Stem Cells. 34(10). 2548–2558. 23 indexed citations
12.
Chen, Tyrone, Rowland Mosbergen, Othmar Korn, & Christine A. Wells. (2016). Stemformatics: a visualisation platform for well-curated biological sequence data. Faculty of 1000 Research Ltd. 5. 1 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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