Alistair Don

1.3k citations
22 papers · 953 indexed · h-index 16

Alistair Don

21 papers receiving 942 citations

Peers

Alistair Don
Comparison fields: 5 of 62
  • Hematology 570
  • Immunology 728
  • Transplantation 34
  • Genetics 66
  • Oncology 135
Replace Motoko Koyama with:
Motoko Koyama Australia
Renee J. Robb Australia
CA Keever United States
Vedran Radojčić United States
L Barnett United States
Satoko Morishima Japan
Isabel Barão United States
Silvia Verdiani Italy
Noemi F. Pereira Brazil
M Sasportes France
Alistair Don relative to Motoko Koyama Australia Motoko Koyama's profile →
Citations per field
00.5×1.6×
Motoko Koyama · 1×
Citations per year

Countries citing papers authored by Alistair Don

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alistair Don Line = papers co-authored together Alistair Don links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201432
3 201224
4 2011156
5 201156
6 201034
7 2010124
8
Conventional dendritic cells are the critical donor APC presenting alloantigen after BMT
20091
9 200941
10 20093
11 200948
12 200921
13 200968
14 200699
15
TGF-beta and allogeneic stem cell transplantation: friend or foe?
200510
16
TGF-beta in allogeneic stem cell transplantation: Friend or foe?
20053
17 20051
18 2005109
19 200129
20 199916

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.

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