Daniel S.W. Tan
Impact in
- Oncology top 1%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 92
- Lung Cancer Research Studies 26
- Cancer Immunotherapy and Biomarkers 25
- Colorectal Cancer Treatments and Studies 19
-
- Lung Cancer Treatments and Mutations 95
- Lung Cancer Diagnosis and Treatment 29
- Gastric Cancer Management and Outcomes 13
- Co-authors
- Aaron C. TanAlexander DrilonGillianne LaiZishuo I. HuTony MokAngela TakanoTimothy R. RebbeckWan‐Teck Lim
- Journals
- Annals of Oncology (22 papers)Journal of Thoracic Oncology (21 papers)Journal of Clinical Oncology (11 papers)Cancer Research (5 papers)Lung Cancer (4 papers)
- Partner nations
- SingaporeUnited StatesSouth Korea
In The Last Decade
Daniel S.W. Tan
151 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Oncology 1.8k
- Cancer Research 965
- Pulmonary and Respiratory Medicine 1.9k
- Hepatology 340
- Pathology and Forensic Medicine 374
Countries citing papers authored by Daniel S.W. Tan
This map shows the geographic impact of Daniel S.W. 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 Daniel S.W. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S.W. Tan more than expected).
Fields of papers citing papers by Daniel S.W. Tan
This network shows the impact of papers produced by Daniel S.W. 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 Daniel S.W. Tan. The network helps show where Daniel S.W. Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel S.W. 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 62 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 25 | |
| 14 | Selpercatinib in Patients With RET Fusion–Positive Non–Small-Cell Lung Cancer: Updated Safety and Efficacy From the Registrational LIBRETTO-001 Phase I/II Trial Hit paper breakdown → | 2022 | 119 |
| 15 | 2022 | 17 | |
| 16 | 2021 | 8 | |
| 17 | Capmatinib in patients with high-level MET-amplified advanced non-small cell lung cancer (NSCLC): results from the phase 2 GEOMETRY mono-1 study | 2020 | 8 |
| 18 | 2020 | 8 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 21 |
About Daniel S.W. Tan
Daniel S.W. Tan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Hepatology and Otorhinolaryngology, having authored 159 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (95 papers), Cancer Genomics and Diagnostics (30 papers), Lung Cancer Diagnosis and Treatment (29 papers), Lung Cancer Research Studies (26 papers), Cancer Immunotherapy and Biomarkers (25 papers), Colorectal Cancer Treatments and Studies (19 papers), Gastric Cancer Management and Outcomes (13 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Oncology (1.8k citations), Cancer Research (965 citations), Pulmonary and Respiratory Medicine (1.9k citations), Hepatology (340 citations) and Pathology and Forensic Medicine (374 citations). Daniel S.W. Tan has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Aaron C. Tan, Alexander Drilon, Gillianne Lai, Zishuo I. Hu, Tony Mok, Angela Takano, Timothy R. Rebbeck, Wan‐Teck Lim, N. Gopalakrishna Iyer and Samuel So. Their work appears in journals such as Annals of Oncology, Journal of Thoracic Oncology, Journal of Clinical Oncology, Cancer Research and Lung Cancer.
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.