Christopher Tan
Impact in
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- Lung Cancer Research Studies
- Cancer-related Molecular Pathways
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- Neurogenetic and Muscular Disorders Research
- Genetics and Neurodevelopmental Disorders
- Genomics and Rare Diseases
Papers in
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- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Genetics 7
- Genetics and Neurodevelopmental Disorders 4
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 3
- Co-authors
- Aurora M. Nedelcu (1 shared paper)John W. Moore (2 shared papers)Daniel S. Levi (2 shared papers)Junya Fujimoto (1 shared paper)Patrick Dospoy (1 shared paper)Carmen Behrens (1 shared paper)John D. Minna (1 shared paper)Luc Girard (1 shared paper)
- Journals
- Human Genetics (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Journal of the Peripheral Nervous System (1 paper)Gene (1 paper)European Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Christopher Tan
23 papers receiving 482 citations
Peers
Comparison fields: 5 of 57
- Oncology 154
- Genetics 42
- Epidemiology 128
- Molecular Biology 212
- Genetics 83
Countries citing papers authored by Christopher Tan
This map shows the geographic impact of Christopher 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 Christopher Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Tan more than expected).
Fields of papers citing papers by Christopher Tan
This network shows the impact of papers produced by Christopher 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 Christopher Tan. The network helps show where Christopher Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 189 | |
| 2 | 2007 | 49 | |
| 3 | 2020 | 29 | |
| 4 | 2013 | 25 | |
| 5 | 2014 | 21 | |
| 6 | 2005 | 20 | |
| 7 | 2005 | 20 | |
| 8 | 2013 | 19 | |
| 9 | 2016 | 15 | |
| 10 | 2006 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2015 | 11 | |
| 14 | 2011 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2007 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2019 | 5 | |
| 20 | 2024 | 3 |
About Christopher Tan
Christopher Tan is a scholar working on Molecular Biology, Genetics, Epidemiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 489 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (3 papers), RNA modifications and cancer (3 papers), Congenital Heart Disease Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Hereditary Neurological Disorders (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Oncology (154 citations), Genetics (42 citations), Epidemiology (128 citations), Molecular Biology (212 citations) and Genetics (83 citations). Christopher Tan has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Aurora M. Nedelcu, John W. Moore, Daniel S. Levi, Junya Fujimoto, Patrick Dospoy, Carmen Behrens, John D. Minna, Luc Girard, Chunli Shao and Ignacio I. Wistuba. Their work appears in journals such as Human Genetics, Journal of Magnetic Resonance Imaging, Journal of the Peripheral Nervous System, Gene and European Journal of Medical Genetics.
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.