Owen Tan
Impact in
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- interferon and immune responses
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- Cancer Genomics and Diagnostics
Papers in
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- Retinoids in leukemia and cellular processes 3
- Ubiquitin and proteasome pathways 2
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- interferon and immune responses 7
- Immunotherapy and Immune Responses 3
- Co-authors
- Glenn M. Marshall (12 shared papers)Belamy B. Cheung (12 shared papers)Deborah Schofield (9 shared papers)Rupendra Shrestha (9 shared papers)Michelle Haber (7 shared papers)Michelle Cunich (2 shared papers)Murray D. Norris (7 shared papers)Selina K. Sutton (6 shared papers)
- Journals
- Cancer Letters (2 papers)Oncotarget (2 papers)APOPTOSIS (1 paper)Oncology Reports (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Owen Tan
23 papers receiving 563 citations
Peers
Comparison fields: 5 of 88
- Immunology 153
- Cancer Research 75
- Complementary and alternative medicine 31
- Molecular Biology 249
- Nutrition and Dietetics 48
Countries citing papers authored by Owen Tan
This map shows the geographic impact of Owen 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 Owen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen Tan more than expected).
Fields of papers citing papers by Owen Tan
This network shows the impact of papers produced by Owen 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 Owen Tan. The network helps show where Owen Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Owen 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 | 2016 | 66 | |
| 2 | 2017 | 62 | |
| 3 | 2003 | 57 | |
| 4 | 2010 | 57 | |
| 5 | 2016 | 50 | |
| 6 | 2020 | 37 | |
| 7 | 2011 | 31 | |
| 8 | 2009 | 30 | |
| 9 | 2014 | 30 | |
| 10 | 2013 | 25 | |
| 11 | 2017 | 21 | |
| 12 | 2013 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2005 | 11 | |
| 17 | 2016 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2014 | 7 |
About Owen Tan
Owen Tan is a scholar working on Molecular Biology, Immunology, Neurology, Genetics and Organic Chemistry, having authored 24 papers that have together received 569 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Neuroblastoma Research and Treatments (4 papers), Retinoids in leukemia and cellular processes (3 papers), Immunotherapy and Immune Responses (3 papers), Click Chemistry and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Genomics and Diagnostics (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Immunology (153 citations), Cancer Research (75 citations), Complementary and alternative medicine (31 citations), Molecular Biology (249 citations) and Nutrition and Dietetics (48 citations). Owen Tan has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Glenn M. Marshall, Belamy B. Cheung, Deborah Schofield, Rupendra Shrestha, Michelle Haber, Michelle Cunich, Murray D. Norris, Selina K. Sutton, Tao Liu and Jessica Koach. Their work appears in journals such as Cancer Letters, Oncotarget, APOPTOSIS, Oncology Reports and International Journal of Environmental Research and Public Health.
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.