Damien Tan
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Oncology 9
- CAR-T cell therapy research 4
- Cancer Cells and Metastasis 3
- Pancreatic and Hepatic Oncology Research 2
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- CRISPR and Genetic Engineering 3
- Co-authors
- Antonio Bertoletti (8 shared papers)Navjyot Hansi (3 shared papers)Patrick Kennedy (3 shared papers)Upkar S. Gill (2 shared papers)Evan W. Newell (2 shared papers)Andrea Pavesi (12 shared papers)Laura Rivino (2 shared papers)Nina Le Bert (2 shared papers)
- Journals
- Small (2 papers)Cancer Research (2 papers)Biomaterials (1 paper)Molecular Therapy (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Damien Tan
15 papers receiving 455 citations
Peers
Comparison fields: 5 of 54
- Hepatology 211
- Epidemiology 266
- Immunology 122
- Oncology 96
- Developmental Neuroscience 10
Countries citing papers authored by Damien Tan
This map shows the geographic impact of Damien 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 Damien Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damien Tan more than expected).
Fields of papers citing papers by Damien Tan
This network shows the impact of papers produced by Damien 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 Damien Tan. The network helps show where Damien Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Damien 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 | 2018 | 154 | |
| 2 | 2020 | 108 | |
| 3 | 2018 | 42 | |
| 4 | 2020 | 38 | |
| 5 | 2021 | 24 | |
| 6 | 2018 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 14 | |
| 10 | Evaluation of entropy for monitoring the depth of anesthesia compared with bispectral index: a multicenter clinical trial. | 2012 | 14 |
| 11 | 2025 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2023 | 0 |
About Damien Tan
Damien Tan is a scholar working on Oncology, Molecular Biology, Epidemiology, Immunology and Genetics, having authored 16 papers that have together received 462 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Cancer Cells and Metastasis (3 papers), CRISPR and Genetic Engineering (3 papers), Mathematical Biology Tumor Growth (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hepatology (211 citations), Epidemiology (266 citations), Immunology (122 citations), Oncology (96 citations) and Developmental Neuroscience (10 citations). Damien Tan has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Antonio Bertoletti, Navjyot Hansi, Patrick Kennedy, Upkar S. Gill, Evan W. Newell, Andrea Pavesi, Laura Rivino, Nina Le Bert, Kamini Kunasegaran and Yang Cheng. Their work appears in journals such as Small, Cancer Research, Biomaterials, Molecular Therapy and Journal of Clinical Oncology.
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.