William Blum
Impact in
- Hematology top 0.2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 131
- Acute Myeloid Leukemia Research 101
- Hematopoietic Stem Cell Transplantation 33
- Chronic Myeloid Leukemia Treatments 25
- Multiple Myeloma Research and Treatments 22
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- Histone Deacetylase Inhibitors Research 27
- Protein Degradation and Inhibitors 19
- Co-authors
- Guido Marcucci (76 shared papers)John C. Byrd (58 shared papers)Rebecca B. Klisovic (62 shared papers)Amy J. Johnson (8 shared papers)Steven M. Devine (36 shared papers)Kenneth K. Chan (18 shared papers)Ramiro Garzon (38 shared papers)Alice S. Mims (29 shared papers)
- Journals
- Blood (70 papers)Journal of Clinical Oncology (17 papers)Biology of Blood and Marrow Transplantation (10 papers)Leukemia (6 papers)Bone Marrow Transplantation (6 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
William Blum
181 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 134
- Hematology 2.7k
- Genetics 1.1k
- Immunology 1.0k
- Oncology 1.3k
- Molecular Biology 2.5k
Countries citing papers authored by William Blum
This map shows the geographic impact of William Blum'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 William Blum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Blum more than expected).
Fields of papers citing papers by William Blum
This network shows the impact of papers produced by William Blum. 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 William Blum. The network helps show where William Blum may publish in the future.
Co-authors
The 25 scholars most cited alongside William Blum, 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 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 461 | |
| 2 | 2019 | 242 | |
| 3 | 2007 | 235 | |
| 4 | 2012 | 165 | |
| 5 | 2007 | 162 | |
| 6 | 2013 | 151 | |
| 7 | 2015 | 124 | |
| 8 | 2007 | 120 | |
| 9 | 2008 | 117 | |
| 10 | 2005 | 112 | |
| 11 | 2012 | 108 | |
| 12 | 2015 | 100 | |
| 13 | 2009 | 92 | |
| 14 | 2008 | 83 | |
| 15 | 2017 | 80 | |
| 16 | 2012 | 78 | |
| 17 | 2007 | 73 | |
| 18 | 2010 | 71 | |
| 19 | 2008 | 71 | |
| 20 | 2009 | 70 |
About William Blum
William Blum is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 188 papers that have together received 5.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (101 papers), Hematopoietic Stem Cell Transplantation (33 papers), Acute Lymphoblastic Leukemia research (31 papers), Chronic Lymphocytic Leukemia Research (27 papers), Histone Deacetylase Inhibitors Research (27 papers), Chronic Myeloid Leukemia Treatments (25 papers), Multiple Myeloma Research and Treatments (22 papers) and Protein Degradation and Inhibitors (19 papers). The work is most often cited by research in Hematology (2.7k citations), Genetics (1.1k citations), Immunology (1.0k citations), Oncology (1.3k citations) and Molecular Biology (2.5k citations). William Blum has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Guido Marcucci, John C. Byrd, Rebecca B. Klisovic, Amy J. Johnson, Steven M. Devine, Kenneth K. Chan, Ramiro Garzon, Alice S. Mims, Alan G. Ramsay and John G. Gribben. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, Leukemia and Bone 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.