D Bracy
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Oncology top 5%
- Cancer Treatment and Pharmacology
- Peptidase Inhibition and Analysis
Papers in
- Hematology 14
- Multiple Myeloma Research and Treatments 14
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 1
-
- Cancer therapeutics and mechanisms 6
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Guido Tricot (16 shared papers)Sundar Jagannath (15 shared papers)Bart Barlogie (13 shared papers)S. Naucke (5 shared papers)John Crowley (6 shared papers)S. Mattox (6 shared papers)K.R. Desikan (10 shared papers)David S. Siegel (9 shared papers)
- Journals
- Blood (6 papers)Bone Marrow Transplantation (4 papers)Journal of Clinical Oncology (2 papers)Bone (1 paper)Statistics in Medicine (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
D Bracy
17 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 69
- Hematology 1.5k
- Oncology 605
- Genetics 177
- Molecular Biology 813
- Immunology 116
Countries citing papers authored by D Bracy
This map shows the geographic impact of D Bracy'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 Bracy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Bracy more than expected).
Fields of papers citing papers by D Bracy
This network shows the impact of papers produced by D Bracy. 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 Bracy. The network helps show where D Bracy may publish in the future.
Co-authors
The 25 scholars most cited alongside D Bracy, 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 | 1997 | 432 | |
| 2 | 1995 | 340 | |
| 3 | 1997 | 147 | |
| 4 | 1998 | 137 | |
| 5 | 1996 | 120 | |
| 6 | 1996 | 99 | |
| 7 | 1998 | 98 | |
| 8 | Safety of autotransplants with high-dose melphalan in renal failure: a pharmacokinetic and toxicity study. | 1996 | 96 |
| 9 | 1997 | 80 | |
| 10 | 1998 | 40 | |
| 11 | 1997 | 24 | |
| 12 | 2005 | 21 | |
| 13 | 1998 | 20 | |
| 14 | 1996 | 15 | |
| 15 | 1997 | 9 | |
| 16 | 1998 | 5 | |
| 17 | Long-term follow-up after high-dose therapy for high-risk multiple myeloma | 1998 | 1 |
About D Bracy
D Bracy is a scholar working on Hematology, Molecular Biology, Oncology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Cancer therapeutics and mechanisms (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Treatment and Pharmacology (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (1.5k citations), Oncology (605 citations), Genetics (177 citations), Molecular Biology (813 citations) and Immunology (116 citations). D Bracy has collaborated with scholars based in United States and Germany. Frequent co-authors include Guido Tricot, Sundar Jagannath, Bart Barlogie, S. Naucke, John Crowley, S. Mattox, K.R. Desikan, David S. Siegel, David H. Vesole and Bruce D. Cheson. Their work appears in journals such as Blood, Bone Marrow Transplantation, Journal of Clinical Oncology, Bone and Statistics in Medicine.
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.