Tyrone Chen
Impact in
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- Mesenchymal stem cell research
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- Pluripotent Stem Cells Research
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
Papers in
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- Gene expression and cancer classification 4
- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 2
- RNA and protein synthesis mechanisms 1
- RNA Research and Splicing 1
- Genetics 2
- Mesenchymal stem cell research 2
- Co-authors
- Christine A. Wells (6 shared papers)Sonika Tyagi (5 shared papers)Kim‐Anh Lê Cao (4 shared papers)Rowland Mosbergen (3 shared papers)Othmar Korn (3 shared papers)Jarny Choi (2 shared papers)Paul W. Angel (2 shared papers)Edouard G. Stanley (1 shared paper)
- Journals
- Stem Cells (1 paper)Nature Cell Biology (1 paper)Briefings in Bioinformatics (1 paper)PeerJ (1 paper)Scientific Reports (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Tyrone Chen
12 papers receiving 196 citations
Peers
Comparison fields: 5 of 51
- Genetics 39
- Molecular Biology 106
- Biophysics 9
- Cancer Research 20
- Oncology 33
Countries citing papers authored by Tyrone Chen
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
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-authors
The 25 scholars most cited alongside Tyrone Chen, 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 | 2020 | 40 | |
| 2 | 2016 | 36 | |
| 3 | 2016 | 25 | |
| 4 | 2018 | 24 | |
| 5 | 2023 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2025 | 0 |
About Tyrone Chen
Tyrone Chen is a scholar working on Molecular Biology, Genetics, Oncology, Biophysics and Cancer Research, having authored 13 papers that have together received 196 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (3 papers), Mesenchymal stem cell research (2 papers), Cell Image Analysis Techniques (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), RNA and protein synthesis mechanisms (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Genetics (39 citations), Molecular Biology (106 citations), Biophysics (9 citations), Cancer Research (20 citations) and Oncology (33 citations). Tyrone Chen has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Christine A. Wells, Sonika Tyagi, Kim‐Anh Lê Cao, Rowland Mosbergen, Othmar Korn, Jarny Choi, Paul W. Angel, Edouard G. Stanley, Andrew G. Elefanty and Elizabeth A. Mason. Their work appears in journals such as Stem Cells, Nature Cell Biology, Briefings in Bioinformatics, PeerJ and Scientific Reports.
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.