Donna Reece
Impact in
- Hematology top 0.05%
- Multiple Myeloma Research and Treatments
- Oncology top 0.5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 292
- Multiple Myeloma Research and Treatments 269
- Hematopoietic Stem Cell Transplantation 23
- Acute Myeloid Leukemia Research 23
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- Protein Degradation and Inhibitors 109
- Amyloidosis: Diagnosis, Treatment, Outcomes 27
- Co-authors
- Hong Chang (30 shared papers)Suzanne Trudel (101 shared papers)Christine Chen (70 shared papers)Vishal Kukreti (90 shared papers)A. Keith Stewart (10 shared papers)A. Keith Stewart (19 shared papers)Sagar Lonial (36 shared papers)Joseph Mıkhael (34 shared papers)
- Journals
- Blood (122 papers)Journal of Clinical Oncology (35 papers)British Journal of Haematology (14 papers)Bone Marrow Transplantation (11 papers)Biology of Blood and Marrow Transplantation (8 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Donna Reece
333 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 105
- Hematology 5.0k
- Oncology 3.2k
- Genetics 925
- Molecular Biology 4.3k
- Pathology and Forensic Medicine 793
Countries citing papers authored by Donna Reece
This map shows the geographic impact of Donna Reece'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 Donna Reece with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Reece more than expected).
Fields of papers citing papers by Donna Reece
This network shows the impact of papers produced by Donna Reece. 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 Donna Reece. The network helps show where Donna Reece may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Reece, 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 350 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 268 | |
| 2 | 2013 | 266 | |
| 3 | 2009 | 252 | |
| 4 | 2009 | 233 | |
| 5 | 2004 | 226 | |
| 6 | 2008 | 196 | |
| 7 | 1999 | 176 | |
| 8 | 2004 | 151 | |
| 9 | 1992 | 150 | |
| 10 | 1991 | 149 | |
| 11 | 1999 | 144 | |
| 12 | 2004 | 143 | |
| 13 | 2009 | 138 | |
| 14 | 2008 | 132 | |
| 15 | 2007 | 130 | |
| 16 | 2015 | 129 | |
| 17 | 2011 | 123 | |
| 18 | 1991 | 119 | |
| 19 | 2009 | 112 | |
| 20 | 2018 | 103 |
About Donna Reece
Donna Reece is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 350 papers that have together received 8.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (269 papers), Protein Degradation and Inhibitors (109 papers), Cancer Treatment and Pharmacology (73 papers), Peptidase Inhibition and Analysis (43 papers), Chronic Lymphocytic Leukemia Research (33 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (27 papers), Hematopoietic Stem Cell Transplantation (23 papers) and Acute Myeloid Leukemia Research (23 papers). The work is most often cited by research in Hematology (5.0k citations), Oncology (3.2k citations), Genetics (925 citations), Molecular Biology (4.3k citations) and Pathology and Forensic Medicine (793 citations). Donna Reece has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Hong Chang, Suzanne Trudel, Christine Chen, Vishal Kukreti, A. Keith Stewart, A. Keith Stewart, Sagar Lonial, Joseph Mıkhael, Young Trieu and Rodger E. Tiedemann. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Bone Marrow Transplantation and Biology of Blood and Marrow 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.