CB Brown

639 citations
19 papers · 532 · h-index 12

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • Acute Myeloid Leukemia Research 5
    • Multiple Myeloma Research and Treatments 2
    • Renal Transplantation Outcomes and Treatments 3

CB Brown

19 papers receiving 503 citations

Peers

CB Brown
Comparison fields: 5 of 60
  • Hematology 170
  • Genetics 83
  • Transplantation 12
  • Immunology 91
  • Oncology 93
Replace Mikiya Endo with:
Mikiya Endo Japan
Christian Duncker Germany
Hilary Lumley United Kingdom
PI Warkentin United States
Lijda Vellekoop United States
Huibert M. Vriesendorp United States
J. H. Bourhis France
Val Shepherd United Kingdom
Kun Soo Lee South Korea
G Prentice United Kingdom
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Citations per field
00.5×1.5×2×
Mikiya Endo · 1×
Citations per year

Countries citing papers authored by CB Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with CB Brown Line = papers co-authored together CB Brown links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2000163
2 198960
3 199941
4 199140
5 199938
6 199534
7
High-dose melphalan +/- total body irradiation and autologous hematopoietic stem cell rescue for adult patients with Ewing's sarcoma or peripheral neuroectodermal tumor.
199631
8 200029
9 200019
10 200919
11 200015
12 200213
13 200310
14 19895
15 20015
16 20015
17 19822
18 19912
19 20061

About CB Brown

CB Brown is a scholar working on Hematology, Transplantation, Genetics, Oncology and Immunology, having authored 19 papers that have together received 532 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (5 papers), Renal Transplantation Outcomes and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Polyomavirus and related diseases (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (170 citations), Genetics (83 citations), Transplantation (12 citations), Immunology (91 citations) and Oncology (93 citations). CB Brown has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Weining Zhen, Bo Wen, Raymond Tannous, David H. Hussey, Nina A. Mayr, John S. Klassen, A Chaudhry, Kenneth Kaushansky, Joanne M. Luider and D. A. Stewart. Their work appears in journals such as Bone Marrow Transplantation, Blood, British Journal of Clinical Pharmacology, Clinical Nephrology and International Journal of Radiation Oncology*Biology*Physics.

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.

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