David C. Townend
- Co-authors
- Roger L. DawkinsChanvit LeelayuwatLawrence J. AbrahamMariapia A. Degli‐EspostiSilvana GaudieriGuan K. TayFrank ChristiansenJürgen Müllberg
- Topics
- T-cell and B-cell Immunology (8 papers)Immune Cell Function and Interaction (6 papers)Immunotherapy and Immune Responses (5 papers)
- Cited by
- ImmunologyHematologyTransplantation
- Journals
- The Journal of Experimental MedicineJournal of Molecular EvolutionEuropean Journal of Endocrinology
- Partner nations
- AustraliaThailandNetherlands
In The Last Decade
David C. Townend
17 papers receiving 351 citations
Peers
Comparison fields: 5 of 53
- Immunology 291
- Hematology 63
- Molecular Biology 62
- Genetics 47
- Epidemiology 30
Countries citing papers authored by David C. Townend
This map shows the geographic impact of David C. Townend'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 David C. Townend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Townend more than expected).
Fields of papers citing papers by David C. Townend
This network shows the impact of papers produced by David C. Townend. 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 David C. Townend. The network helps show where David C. Townend may publish in the future.
Co-authorship network of co-authors of David C. Townend
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Townend. A scholar is included among the top collaborators of David C. Townend based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David C. Townend. David C. Townend is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 49 | |
| 4 | 31 | |
| 5 | 22 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 130 | |
| 10 | 19 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | Major histocompatibility complex influences the development of acute graft-versus-host disease in MHC-matched adult allogeneic bone marrow transplantation. | 3 |
| 14 | The MHC influences acute graft versus host disease in MHC matched adults undergoing allogeneic bone marrow transplantation. | 18 |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 1 |
About David C. Townend
David C. Townend is a scholar working on Hematology, Immunology and Physiology, having authored 17 papers that have together received 357 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (291 citations), Hematology (63 citations) and Transplantation (12 citations). David C. Townend has collaborated with scholars based in Australia, Thailand and Netherlands. Frequent co-authors include Roger L. Dawkins, Chanvit Leelayuwat, Lawrence J. Abraham, Mariapia A. Degli‐Esposti, Silvana Gaudieri, Guan K. Tay, Frank Christiansen, Jürgen Müllberg, David Cosman and Campbell S. Witt. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Molecular Evolution and European Journal of Endocrinology.
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.