Ryan Tan
Impact in
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- Genetic factors in colorectal cancer
Papers in
- Oncology 7
- HER2/EGFR in Cancer Research 3
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- Cancer Genomics and Diagnostics 2
- Breast Cancer Treatment Studies 2
- Co-authors
- Joanne Ngeow (4 shared papers)Alexis B. Guzman (1 shared paper)Thomas W. Feeley (1 shared paper)Khee Chee Soo (1 shared paper)Eliza Courtney (3 shared papers)Ke Zhou (1 shared paper)Soon Thye Lim (2 shared papers)Benjamin Ong (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)JCO Clinical Cancer Informatics (2 papers)Annals of Oncology (2 papers)New Media & Society (1 paper)Cancer Research (1 paper)
- Partner nations
- SingaporeUnited StatesSweden
In The Last Decade
Ryan Tan
16 papers receiving 103 citations
Peers
Comparison fields: 5 of 29
- Health Informatics 4
- Pathology and Forensic Medicine 19
- Genetics 28
- Oncology 20
- General Dentistry 1
Countries citing papers authored by Ryan Tan
This map shows the geographic impact of Ryan 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 Ryan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Tan more than expected).
Fields of papers citing papers by Ryan Tan
This network shows the impact of papers produced by Ryan 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 Ryan Tan. The network helps show where Ryan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 23 | |
| 2 | 2016 | 22 | |
| 3 | 2023 | 11 | |
| 4 | 2021 | 11 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2020 | 4 | |
| 9 | Direct detection of Rare Circulating Tumor Cells in Blood by CastPCR | 2010 | 3 |
| 10 | 2018 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2018 | 0 | |
| 20 | 2025 | 0 |
About Ryan Tan
Ryan Tan is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and General Health Professions, having authored 20 papers that have together received 103 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Cancer Genomics and Diagnostics (2 papers), BRCA gene mutations in cancer (2 papers), Telemedicine and Telehealth Implementation (2 papers), Mobile Health and mHealth Applications (2 papers), Breast Cancer Treatment Studies (2 papers), DNA Repair Mechanisms (1 paper) and Asian Culture and Media Studies (1 paper). The work is most often cited by research in Health Informatics (4 citations), Pathology and Forensic Medicine (19 citations), Genetics (28 citations), Oncology (20 citations) and General Dentistry (1 citation). Ryan Tan has collaborated with scholars based in Singapore, United States and Sweden. Frequent co-authors include Joanne Ngeow, Alexis B. Guzman, Thomas W. Feeley, Khee Chee Soo, Eliza Courtney, Ke Zhou, Soon Thye Lim, Benjamin Ong, Pius Brzoska and Iain Beehuat Tan. Their work appears in journals such as Journal of Clinical Oncology, JCO Clinical Cancer Informatics, Annals of Oncology, New Media & Society and Cancer Research.
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.