Chin Wee Tan
Impact in
-
- Cancer Cells and Metastasis
-
- Wnt/β-catenin signaling in development and cancer
- Single-cell and spatial transcriptomics
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in
-
- Single-cell and spatial transcriptomics 10
- Wnt/β-catenin signaling in development and cancer 5
- Gene expression and cancer classification 4
- Oncology 11
- Cancer Cells and Metastasis 5
- Co-authors
- Antony W. Burgess (12 shared papers)Yumiko Hirokawa (9 shared papers)David W. Smith (5 shared papers)Bruce S. Gardiner (5 shared papers)Meredith J. Layton (1 shared paper)Hon Yan Kelvin Yip (3 shared papers)Melissa J. Davis (11 shared papers)Arutha Kulasinghe (9 shared papers)
- Journals
- Frontiers in Immunology (3 papers)BMC Systems Biology (3 papers)PLoS ONE (3 papers)Genome biology (2 papers)Scientific Reports (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Chin Wee Tan
36 papers receiving 660 citations
Peers
Comparison fields: 5 of 110
- Oncology 162
- Molecular Biology 350
- Cancer Research 68
- Immunology 70
- Biophysics 20
Countries citing papers authored by Chin Wee Tan
This map shows the geographic impact of Chin Wee Tan'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 Chin Wee Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin Wee Tan more than expected).
Fields of papers citing papers by Chin Wee Tan
This network shows the impact of papers produced by Chin Wee Tan. 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 Chin Wee Tan. The network helps show where Chin Wee Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chin Wee Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 110 | |
| 2 | 2013 | 63 | |
| 3 | 2015 | 50 | |
| 4 | 2019 | 38 | |
| 5 | 2013 | 34 | |
| 6 | 2021 | 33 | |
| 7 | 2014 | 30 | |
| 8 | 2023 | 29 | |
| 9 | 2012 | 29 | |
| 10 | 2014 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2024 | 17 | |
| 14 | 2017 | 17 | |
| 15 | 2024 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2024 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2015 | 11 |
About Chin Wee Tan
Chin Wee Tan is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 39 papers that have together received 669 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Cancer Cells and Metastasis (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Immune cells in cancer (4 papers), Cancer Genomics and Diagnostics (4 papers), Gene expression and cancer classification (4 papers), Liver physiology and pathology (3 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Oncology (162 citations), Molecular Biology (350 citations), Cancer Research (68 citations), Immunology (70 citations) and Biophysics (20 citations). Chin Wee Tan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Antony W. Burgess, Yumiko Hirokawa, David W. Smith, Bruce S. Gardiner, Meredith J. Layton, Hon Yan Kelvin Yip, Melissa J. Davis, Arutha Kulasinghe, Ning Liu and Dharmesh D. Bhuva. Their work appears in journals such as Frontiers in Immunology, BMC Systems Biology, PLoS ONE, Genome biology 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.