Donna Bucci
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 3
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- Protein Degradation and Inhibitors 4
- Retinoids in leukemia and cellular processes 2
- Sphingolipid Metabolism and Signaling 2
- Co-authors
- Wendy Stock (5 shared papers)Steven E. Tuttle (3 shared papers)William Blum (7 shared papers)Scott D. Jewell (3 shared papers)Neil R. Baker (1 shared paper)Richard M. Stone (4 shared papers)B.S. Mohammed (1 shared paper)Richard A. Larson (4 shared papers)
- Journals
- Blood (7 papers)Haematologica (2 papers)Journal of Clinical Oncology (1 paper)Blood Advances (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Donna Bucci
18 papers receiving 315 citations
Peers
Comparison fields: 5 of 59
- Hematology 125
- Genetics 56
- Pathology and Forensic Medicine 65
- Oncology 78
- Immunology 45
Countries citing papers authored by Donna Bucci
This map shows the geographic impact of Donna Bucci'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 Bucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Bucci more than expected).
Fields of papers citing papers by Donna Bucci
This network shows the impact of papers produced by Donna Bucci. 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 Bucci. The network helps show where Donna Bucci may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Bucci, 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 | 2011 | 59 | |
| 2 | 2020 | 47 | |
| 3 | Purification and cytotoxic potential of myeloperoxidase in cystic fibrosis sputum. | 1988 | 43 |
| 4 | 2018 | 33 | |
| 5 | 1987 | 31 | |
| 6 | 2014 | 30 | |
| 7 | 2013 | 21 | |
| 8 | 1988 | 14 | |
| 9 | Cooperative group tissue banks as research resources: the cancer and leukemia group B tissue repositories. | 2002 | 12 |
| 10 | 1990 | 12 | |
| 11 | 2018 | 6 | |
| 12 | 2015 | 4 | |
| 13 | 2006 | 3 | |
| 14 | 2013 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2017 | 1 |
About Donna Bucci
Donna Bucci is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 18 papers that have together received 321 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer Genomics and Diagnostics (2 papers), Retinoids in leukemia and cellular processes (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Hematology (125 citations), Genetics (56 citations), Pathology and Forensic Medicine (65 citations), Oncology (78 citations) and Immunology (45 citations). Donna Bucci has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Wendy Stock, Steven E. Tuttle, William Blum, Scott D. Jewell, Neil R. Baker, Richard M. Stone, B.S. Mohammed, Richard A. Larson, W. Bruce Davis and Guido Marcucci. Their work appears in journals such as Blood, Haematologica, Journal of Clinical Oncology, Blood Advances and Oncotarget.
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.