D. A. Pearson
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Hematopoietic Stem Cell Transplantation 8
-
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 1
- Co-authors
- Megan Sykes (9 shared papers)Gregory L. Szot (7 shared papers)M Sykes (3 shared papers)Mark W. Harty (3 shared papers)Justin J. Sergio (3 shared papers)B Dey (1 shared paper)Yong‐Guang Yang (1 shared paper)Varghese Abraham (2 shared papers)
- Journals
- Blood (3 papers)The Journal of Immunology (2 papers)The Journal of Experimental Medicine (1 paper)Journal of Clinical Investigation (1 paper)Transplantation (1 paper)
- Partner nations
- United States
In The Last Decade
D. A. Pearson
13 papers receiving 625 citations
Peers
Comparison fields: 5 of 49
- Hematology 373
- Immunology 515
- Genetics 42
- Transplantation 9
- Oncology 74
Countries citing papers authored by D. A. Pearson
This map shows the geographic impact of D. A. Pearson'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 D. A. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. A. Pearson more than expected).
Fields of papers citing papers by D. A. Pearson
This network shows the impact of papers produced by D. A. Pearson. 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 D. A. Pearson. The network helps show where D. A. Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside D. A. Pearson, 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 | 1998 | 149 | |
| 2 | 1995 | 103 | |
| 3 | 1993 | 94 | |
| 4 | 1993 | 87 | |
| 5 | 1994 | 74 | |
| 6 | 1997 | 70 | |
| 7 | IL-2 inhibits early increases in serum gamma interferon levels associated with graft-versus-host-disease. | 1994 | 42 |
| 8 | Tolerance induction using autologous bone marrow modified with an allogeneic class I MHC gene. | 1993 | 6 |
| 9 | 1997 | 5 | |
| 10 | Selective inhibition of CD4 graft-versus-host activity in IL-2-treated mice. | 1993 | 3 |
| 11 | 1994 | 3 | |
| 12 | 1999 | 1 | |
| 13 | Medulloblastoma of the cerebellum. | 1976 | 1 |
About D. A. Pearson
D. A. Pearson is a scholar working on Hematology, Immunology, Surgery, Molecular Biology and Genetics, having authored 13 papers that have together received 638 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), Xenotransplantation and immune response (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Immune Response and Inflammation (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Hematology (373 citations), Immunology (515 citations), Genetics (42 citations), Transplantation (9 citations) and Oncology (74 citations). D. A. Pearson has collaborated with scholars based in United States. Frequent co-authors include Megan Sykes, Gregory L. Szot, M Sykes, Mark W. Harty, Justin J. Sergio, B Dey, Yong‐Guang Yang, Varghese Abraham, Franz Karlhofer and Wayne M. Yokoyama. Their work appears in journals such as Blood, The Journal of Immunology, The Journal of Experimental Medicine, Journal of Clinical Investigation and Transplantation.
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.