CB Brown
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
Papers in
-
- Hematopoietic Stem Cell Transplantation 7
- Acute Myeloid Leukemia Research 4
- Oncology 5
- Polyomavirus and related diseases 2
- Co-authors
- Weining Zhen (1 shared paper)Bo Wen (1 shared paper)Raymond Tannous (1 shared paper)Nina A. Mayr (1 shared paper)David H. Hussey (1 shared paper)John S. Klassen (8 shared papers)A Chaudhry (8 shared papers)Kenneth Kaushansky (3 shared papers)
- Journals
- Bone Marrow Transplantation (7 papers)Blood (5 papers)British Journal of Clinical Pharmacology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Clinical Nephrology (1 paper)
- Partner nations
- CanadaUnited StatesIreland
In The Last Decade
CB Brown
18 papers receiving 453 citations
Peers
Comparison fields: 5 of 60
- Hematology 131
- Genetics 74
- Immunology 83
- Transplantation 9
- Oncology 83
Countries citing papers authored by CB Brown
This map shows the geographic impact of CB 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 CB Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CB Brown more than expected).
Fields of papers citing papers by CB Brown
This network shows the impact of papers produced by CB 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 CB Brown. The network helps show where CB Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside CB 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
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 155 | |
| 2 | 1989 | 58 | |
| 3 | 1999 | 40 | |
| 4 | 1991 | 40 | |
| 5 | 1995 | 33 | |
| 6 | High-dose melphalan +/- total body irradiation and autologous hematopoietic stem cell rescue for adult patients with Ewing's sarcoma or peripheral neuroectodermal tumor. | 1996 | 31 |
| 7 | 2000 | 28 | |
| 8 | 2000 | 18 | |
| 9 | 2009 | 18 | |
| 10 | 2000 | 14 | |
| 11 | 2002 | 12 | |
| 12 | 2003 | 10 | |
| 13 | 2001 | 5 | |
| 14 | 2001 | 5 | |
| 15 | 1989 | 5 | |
| 16 | 1982 | 2 | |
| 17 | 1991 | 2 | |
| 18 | 2006 | 1 |
About CB Brown
CB Brown is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Transplantation, having authored 18 papers that have together received 477 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Polyomavirus and related diseases (2 papers), T-cell and B-cell Immunology (2 papers), Renal and related cancers (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (131 citations), Genetics (74 citations), Immunology (83 citations), Transplantation (9 citations) and Oncology (83 citations). CB Brown has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Weining Zhen, Bo Wen, Raymond Tannous, Nina A. Mayr, David H. Hussey, John S. Klassen, A Chaudhry, Kenneth Kaushansky, Joanne Luider and D. A. Stewart. Their work appears in journals such as Bone Marrow Transplantation, Blood, British Journal of Clinical Pharmacology, International Journal of Radiation Oncology*Biology*Physics and Clinical Nephrology.
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.