Alistair Don
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 10
- Immunology top 5%
- T-cell and B-cell Immunology 12
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 7
- Transplantation top 10%
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- Cancer Cells and Metastasis 2
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- TGF-β signaling in diseases 3
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- Cell Adhesion Molecules Research 2
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- Cutaneous lymphoproliferative disorders research 2
- Co-authors
- Geoffrey R. HillRachel D. KunsKelli P. A. MacDonaldAndrew D. CloustonKate A. MarkeyTatjana BanovicNeil C. RaffeltStuart D. Olver
- Cited by
- HematologyImmunologyTransplantation
- Journals
- Blood (11 papers)The Journal of Immunology (3 papers)Bone Marrow Transplantation (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Alistair Don
21 papers receiving 942 citations
Peers
Comparison fields: 5 of 62
- Hematology 570
- Immunology 728
- Transplantation 34
- Genetics 66
- Oncology 135
Countries citing papers authored by Alistair Don
This map shows the geographic impact of Alistair Don'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 Alistair Don with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alistair Don more than expected).
Fields of papers citing papers by Alistair Don
This network shows the impact of papers produced by Alistair Don. 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 Alistair Don. The network helps show where Alistair Don may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alistair Don, 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 | 2014 | 32 | |
| 3 | 2012 | 24 | |
| 4 | 2011 | 156 | |
| 5 | 2011 | 56 | |
| 6 | 2010 | 34 | |
| 7 | 2010 | 124 | |
| 8 | Conventional dendritic cells are the critical donor APC presenting alloantigen after BMT | 2009 | 1 |
| 9 | 2009 | 41 | |
| 10 | 2009 | 3 | |
| 11 | 2009 | 48 | |
| 12 | 2009 | 21 | |
| 13 | 2009 | 68 | |
| 14 | 2006 | 99 | |
| 15 | TGF-beta and allogeneic stem cell transplantation: friend or foe? | 2005 | 10 |
| 16 | TGF-beta in allogeneic stem cell transplantation: Friend or foe? | 2005 | 3 |
| 17 | 2005 | 1 | |
| 18 | 2005 | 109 | |
| 19 | 2001 | 29 | |
| 20 | 1999 | 16 |
About Alistair Don
Alistair Don is a scholar working on Hematology, Immunology, Immunology and Allergy, Dermatology and Oncology, having authored 22 papers that have together received 953 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (11 papers), Hematopoietic Stem Cell Transplantation (10 papers), Immune Cell Function and Interaction (7 papers), TGF-β signaling in diseases (3 papers), Cell Adhesion Molecules Research (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Hematology (570 citations), Immunology (728 citations), Transplantation (34 citations), Genetics (66 citations) and Oncology (135 citations). Alistair Don has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Geoffrey R. Hill, Rachel D. Kuns, Kelli P. A. MacDonald, Andrew D. Clouston, Kate A. Markey, Tatjana Banovic, Neil C. Raffelt, Stuart D. Olver, Yana A. Wilson and Edward S. Morris. Their work appears in journals such as Blood, The Journal of Immunology, Bone Marrow Transplantation, Nature Medicine and Immunology and Cell Biology.
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.