J Dunn
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Hematopoietic Stem Cell Transplantation 6
- Genetics 5
- Mesenchymal stem cell research 4
- Virus-based gene therapy research 1
- Estrogen and related hormone effects 1
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- Lisbet SvilandAnne M. DickinsonPeter CareyDouglas E. WilliamsPaul deRoosBenson M. CurtisUlrich MartinDella Friend
- Journals
- Bone Marrow Transplantation (3 papers)The Journal of Immunology (2 papers)Stem Cells and Development (1 paper)Leukemia (1 paper)Cytokine (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
J Dunn
12 papers receiving 402 citations
Peers
Comparison fields: 5 of 63
- Hematology 222
- Immunology 187
- Genetics 58
- Oncology 73
- Transplantation 5
Countries citing papers authored by J Dunn
This map shows the geographic impact of J Dunn'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 J Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Dunn more than expected).
Fields of papers citing papers by J Dunn
This network shows the impact of papers produced by J Dunn. 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 J Dunn. The network helps show where J Dunn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J Dunn, 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 | 2004 | 35 | |
| 2 | 1999 | 5 | |
| 3 | 1998 | 17 | |
| 4 | 1997 | 18 | |
| 5 | 1997 | 53 | |
| 6 | Cytokine treatment of human bone marrow activates anti-leukaemia effector cells: monitoring of purging by polymerase chain reaction and DNA analysis. | 1995 | 5 |
| 7 | 1994 | 4 | |
| 8 | Cytokine involvement in predicting clinical graft-versus-host disease in allogeneic bone marrow transplant recipients. | 1994 | 54 |
| 9 | Demonstration of direct involvement of cytokines in graft-versus-host reactions using an in vitro human skin explant model. | 1991 | 67 |
| 10 | 1991 | 117 | |
| 11 | 1989 | 11 | |
| 12 | 1988 | 28 |
About J Dunn
J Dunn is a scholar working on Hematology, Genetics, Immunology, Pharmaceutical Science and Genetics, having authored 12 papers that have together received 414 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Mesenchymal stem cell research (4 papers), T-cell and B-cell Immunology (3 papers), vaccines and immunoinformatics approaches (1 paper), Chemical Synthesis and Analysis (1 paper), Virus-based gene therapy research (1 paper), Estrogen and related hormone effects (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hematology (222 citations), Immunology (187 citations), Genetics (58 citations), Oncology (73 citations) and Transplantation (5 citations). J Dunn has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Lisbet Sviland, Anne M. Dickinson, Peter Carey, Douglas E. Williams, Paul deRoos, Benson M. Curtis, Ulrich Martin, Della Friend, Elise Jeffery and Hal E. Broxmeyer. Their work appears in journals such as Bone Marrow Transplantation, The Journal of Immunology, Stem Cells and Development, Leukemia and Cytokine.
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.