R Brown
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
Papers in
- Hematology 14
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 4
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- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Co-authors
- John F. DiPersio (12 shared papers)Hanna Jean Khoury (11 shared papers)Ravi Vij (8 shared papers)Douglas R. Adkins (9 shared papers)George S. Miller (3 shared papers)LT Goodnough (4 shared papers)Lawrence T. Goodnough (5 shared papers)Peter Westervelt (3 shared papers)
- Journals
- Bone Marrow Transplantation (9 papers)Transplantation and Cellular Therapy (4 papers)Journal of Clinical Oncology (4 papers)Journal of Clinical Pathology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
R Brown
21 papers receiving 538 citations
Peers
Comparison fields: 5 of 62
- Hematology 375
- Transplantation 27
- Genetics 70
- Immunology 139
- Oncology 115
Countries citing papers authored by R Brown
This map shows the geographic impact of R Brown'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 R Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Brown more than expected).
Fields of papers citing papers by R Brown
This network shows the impact of papers produced by R Brown. 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 R Brown. The network helps show where R Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside R Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 107 | |
| 2 | 1990 | 87 | |
| 3 | 1999 | 68 | |
| 4 | 1997 | 66 | |
| 5 | 2004 | 32 | |
| 6 | 2000 | 30 | |
| 7 | 2000 | 27 | |
| 8 | 1997 | 24 | |
| 9 | 2003 | 22 | |
| 10 | 2002 | 22 | |
| 11 | 2005 | 21 | |
| 12 | 1999 | 16 | |
| 13 | 2000 | 10 | |
| 14 | 1969 | 9 | |
| 15 | 2024 | 7 | |
| 16 | Retained Hickman catheter cuff as an infection source following allogeneic bone marrow transplant. | 1994 | 5 |
| 17 | 2017 | 4 | |
| 18 | 1997 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2004 | 1 |
About R Brown
R Brown is a scholar working on Hematology, Immunology, Transplantation, Oncology and Genetics, having authored 22 papers that have together received 564 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (4 papers), T-cell and B-cell Immunology (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Immunotherapy and Immune Responses (2 papers), Blood disorders and treatments (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (375 citations), Transplantation (27 citations), Genetics (70 citations), Immunology (139 citations) and Oncology (115 citations). R Brown has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include John F. DiPersio, Hanna Jean Khoury, Ravi Vij, Douglas R. Adkins, George S. Miller, LT Goodnough, Lawrence T. Goodnough, Peter Westervelt, Lawrence Tim Goodnough and Shalini M. Shenoy. Their work appears in journals such as Bone Marrow Transplantation, Transplantation and Cellular Therapy, Journal of Clinical Oncology, Journal of Clinical Pathology and Nature Communications.
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.