Patrick Tan
Impact in
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- Cancer Genomics and Diagnostics
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- Cancer survivorship and care
Papers in
- Oncology 9
- Cancer survivorship and care 5
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- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 2
- Co-authors
- Chia-Huey Ooi (1 shared paper)Cameron Platell (9 shared papers)Paul Salama (7 shared papers)Gregory Makin (6 shared papers)Kuo-Bin Li (1 shared paper)Puay‐Hoon Tan (1 shared paper)Sathiyamoorthy Selvarajan (1 shared paper)George W. Yip (1 shared paper)
In The Last Decade
Patrick Tan
24 papers receiving 825 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 107
- Oncology 179
- Molecular Biology 345
- Pulmonary and Respiratory Medicine 143
- Pathology and Forensic Medicine 60
Countries citing papers authored by Patrick Tan
This map shows the geographic impact of Patrick 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 Patrick Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Tan more than expected).
Fields of papers citing papers by Patrick Tan
This network shows the impact of papers produced by Patrick 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 Patrick Tan. The network helps show where Patrick Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 215 | |
| 2 | 2004 | 120 | |
| 3 | A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes. | 2003 | 105 |
| 4 | 2009 | 64 | |
| 5 | 2019 | 47 | |
| 6 | 2014 | 46 | |
| 7 | 2009 | 40 | |
| 8 | 2014 | 30 | |
| 9 | 2018 | 27 | |
| 10 | Feasibility of using low-volume tissue samples for gene expression profiling of advanced non-small cell lung cancers. | 2003 | 27 |
| 11 | 2006 | 24 | |
| 12 | 2005 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2007 | 16 | |
| 15 | 2014 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 9 | |
| 18 | Support Vector Machine approach for cancer detection using Amplified Fragment length Polymorphism (AFLP) screening method | 2004 | 5 |
| 19 | 2004 | 5 | |
| 20 | 2018 | 4 |
About Patrick Tan
Patrick Tan is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 25 papers that have together received 850 indexed citations. Recurring topics across this work include Cancer survivorship and care (5 papers), Gene expression and cancer classification (4 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Phylogenetic Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Gastric Cancer Management and Outcomes (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Cancer Research (107 citations), Oncology (179 citations), Molecular Biology (345 citations), Pulmonary and Respiratory Medicine (143 citations) and Pathology and Forensic Medicine (60 citations). Patrick Tan has collaborated with scholars based in Singapore, Australia and Spain. Frequent co-authors include Chia-Huey Ooi, Cameron Platell, Paul Salama, Gregory Makin, Kuo-Bin Li, Puay‐Hoon Tan, Sathiyamoorthy Selvarajan, George W. Yip, Boon‐Huat Bay and Jeanie Wu. Their work appears in journals such as ANZ Journal of Surgery, Journal of Thoracic Oncology, Journal of Clinical Oncology, Bioinformatics and Blood.
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.