Daryl Tan
Impact in
-
- Lymphoma Diagnosis and Treatment
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 26
- Multiple Myeloma Research and Treatments 18
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 4
- Oncology 20
- Viral-associated cancers and disorders 7
- Cancer Treatment and Pharmacology 5
- Co-authors
- Colin Phipps (6 shared papers)Eric Tse (3 shared papers)William Ying Khee Hwang (19 shared papers)Seok Jin Kim (3 shared papers)Sandra J. Horning (4 shared papers)Yok‐Lam Kwong (2 shared papers)Yeh Ching Linn (10 shared papers)Limei Poon (2 shared papers)
- Journals
- Blood (10 papers)IEEE Transactions on Instrumentation and Measurement (4 papers)Bone Marrow Transplantation (3 papers)The Lancet Oncology (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- SingaporeMalaysiaUnited States
In The Last Decade
Daryl Tan
68 papers receiving 1.5k citations
Daryl Tan's Hit Papers
Peers
Comparison fields: 5 of 100
- Pathology and Forensic Medicine 608
- Hematology 361
- Oncology 561
- Genetics 196
- Hepatology 104
Countries citing papers authored by Daryl Tan
This map shows the geographic impact of Daryl 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 Daryl Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daryl Tan more than expected).
Fields of papers citing papers by Daryl Tan
This network shows the impact of papers produced by Daryl 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 Daryl Tan. The network helps show where Daryl Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daryl 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PD1 blockade with pembrolizumab is highly effective in relapsed or refractory NK/T-cell lymphoma failing l-asparaginase Hit paper breakdown → | 2017 | 368 |
| 2 | 2013 | 184 | |
| 3 | 2007 | 125 | |
| 4 | 2013 | 98 | |
| 5 | 2013 | 65 | |
| 6 | 2015 | 46 | |
| 7 | 2015 | 41 | |
| 8 | 2013 | 38 | |
| 9 | 2011 | 33 | |
| 10 | 2008 | 31 | |
| 11 | 2009 | 29 | |
| 12 | 2019 | 26 | |
| 13 | 2006 | 25 | |
| 14 | 2013 | 25 | |
| 15 | 2020 | 18 | |
| 16 | 2016 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2023 | 13 |
About Daryl Tan
Daryl Tan is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Molecular Biology and Immunology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Lymphoma Diagnosis and Treatment (16 papers), Protein Degradation and Inhibitors (7 papers), Viral-associated cancers and disorders (7 papers), Cancer Treatment and Pharmacology (5 papers), Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (608 citations), Hematology (361 citations), Oncology (561 citations), Genetics (196 citations) and Hepatology (104 citations). Daryl Tan has collaborated with scholars based in Singapore, Malaysia and United States. Frequent co-authors include Colin Phipps, Eric Tse, William Ying Khee Hwang, Seok Jin Kim, Sandra J. Horning, Yok‐Lam Kwong, Yeh Ching Linn, Limei Poon, Pek‐Lan Khong and Thomas S. Y. Chan. Their work appears in journals such as Blood, IEEE Transactions on Instrumentation and Measurement, Bone Marrow Transplantation, The Lancet Oncology and British Journal of Haematology.
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.