Brian Ball
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 37
- Acute Myeloid Leukemia Research 34
- Chronic Myeloid Leukemia Treatments 9
- Hematopoietic Stem Cell Transplantation 3
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- Histone Deacetylase Inhibitors Research 12
- Protein Degradation and Inhibitors 5
- Co-authors
- Benjamin L. Ebert (5 shared papers)Michael G. Kharas (5 shared papers)D. Gary Gilliland (4 shared papers)Fátima Al‐Shahrour (3 shared papers)Mahnaz Paktinat (4 shared papers)Rachel Okabe (4 shared papers)Steven Lane (3 shared papers)Thomas Mercher (3 shared papers)
- Journals
- Blood (19 papers)Blood Advances (3 papers)Haematologica (2 papers)Molecular Cancer (1 paper)Journal of Hematology & Oncology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Brian Ball
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Hematology 575
- Genetics 390
- Molecular Biology 595
- Cancer Research 106
- Rheumatology 83
Countries citing papers authored by Brian Ball
This map shows the geographic impact of Brian Ball'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 Brian Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ball more than expected).
Fields of papers citing papers by Brian Ball
This network shows the impact of papers produced by Brian Ball. 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 Brian Ball. The network helps show where Brian Ball may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Ball, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 293 | |
| 2 | 2010 | 281 | |
| 3 | 2011 | 86 | |
| 4 | 2020 | 78 | |
| 5 | 2009 | 61 | |
| 6 | 2016 | 58 | |
| 7 | 2023 | 23 | |
| 8 | 2018 | 21 | |
| 9 | 2019 | 19 | |
| 10 | 2024 | 18 | |
| 11 | 2022 | 15 | |
| 12 | 2009 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2010 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 5 |
About Brian Ball
Brian Ball is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Epidemiology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (34 papers), Histone Deacetylase Inhibitors Research (12 papers), Chronic Myeloid Leukemia Treatments (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Protein Degradation and Inhibitors (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Hematology (575 citations), Genetics (390 citations), Molecular Biology (595 citations), Cancer Research (106 citations) and Rheumatology (83 citations). Brian Ball has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Benjamin L. Ebert, Michael G. Kharas, D. Gary Gilliland, Fátima Al‐Shahrour, Mahnaz Paktinat, Rachel Okabe, Steven Lane, Thomas Mercher, Ann Mullally and Thomas Prébet. Their work appears in journals such as Blood, Blood Advances, Haematologica, Molecular Cancer and Journal of Hematology & Oncology.
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.