Peter Tan
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 5
- Multiple Myeloma Research and Treatments 5
- Hematopoietic Stem Cell Transplantation 2
- Genetics 6
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Andrew H. Wei (7 shared papers)Magdalena Plebanski (3 shared papers)Andrew Spencer (7 shared papers)Patricia Walker (3 shared papers)Ying Kong (1 shared paper)Mutsa Madondo (1 shared paper)Marian Sturm (1 shared paper)Sushrut Patil (4 shared papers)
- Journals
- Blood (8 papers)Pathology (1 paper)Clinical Cancer Research (1 paper)British Journal of Haematology (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Peter Tan
18 papers receiving 260 citations
Peers
Comparison fields: 5 of 42
- Hematology 125
- Immunology 84
- Genetics 31
- Oncology 49
- Molecular Biology 100
Countries citing papers authored by Peter Tan
This map shows the geographic impact of Peter 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 Peter Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Tan more than expected).
Fields of papers citing papers by Peter Tan
This network shows the impact of papers produced by Peter 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 Peter Tan. The network helps show where Peter Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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 | 2013 | 69 | |
| 2 | 2014 | 41 | |
| 3 | 2015 | 26 | |
| 4 | 2019 | 21 | |
| 5 | 2016 | 20 | |
| 6 | 2017 | 15 | |
| 7 | 2018 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2023 | 11 | |
| 10 | 2011 | 10 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2011 | 4 | |
| 14 | 2011 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 |
About Peter Tan
Peter Tan is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Oncology, having authored 18 papers that have together received 263 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (5 papers), Multiple Myeloma Research and Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hematology (125 citations), Immunology (84 citations), Genetics (31 citations), Oncology (49 citations) and Molecular Biology (100 citations). Peter Tan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Andrew H. Wei, Magdalena Plebanski, Andrew Spencer, Patricia Walker, Ying Kong, Mutsa Madondo, Marian Sturm, Sushrut Patil, Sharon Avery and Julie F. McManus. Their work appears in journals such as Blood, Pathology, Clinical Cancer Research, British Journal of Haematology and American Journal of Hematology.
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.