Brandon Blue
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Cancer, Lipids, and Metabolism
Papers in
- Hematology 18
- Multiple Myeloma Research and Treatments 15
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- Protein Degradation and Inhibitors 6
- Amyloidosis: Diagnosis, Treatment, Outcomes 4
- Cancer therapeutics and mechanisms 2
- Co-authors
- Suhong Luo (2 shared papers)Kristen M. Sanfilippo (2 shared papers)Kenneth R. Carson (2 shared papers)Katiuscia O’Brian (2 shared papers)Brian F. Gage (1 shared paper)Jesse Keller (1 shared paper)Tzu‐Fei Wang (1 shared paper)Taiga Nishihori (18 shared papers)
- Journals
- Blood (9 papers)Journal of Clinical Oncology (6 papers)British Journal of Haematology (1 paper)Journal of Geriatric Oncology (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesPuerto RicoUnited Kingdom
In The Last Decade
Brandon Blue
22 papers receiving 162 citations
Peers
Comparison fields: 5 of 45
- Hematology 79
- Cancer Research 46
- Oncology 68
- Genetics 22
- Health Informatics 2
Countries citing papers authored by Brandon Blue
This map shows the geographic impact of Brandon Blue'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 Brandon Blue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Blue more than expected).
Fields of papers citing papers by Brandon Blue
This network shows the impact of papers produced by Brandon Blue. 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 Brandon Blue. The network helps show where Brandon Blue may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Blue, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 68 | |
| 2 | 2023 | 17 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 9 | |
| 6 | 2016 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2012 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2020 | 1 |
About Brandon Blue
Brandon Blue is a scholar working on Hematology, Molecular Biology, Oncology, Epidemiology and Genetics, having authored 27 papers that have together received 163 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Protein Degradation and Inhibitors (6 papers), CAR-T cell therapy research (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Cancer Treatment and Pharmacology (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hematology (79 citations), Cancer Research (46 citations), Oncology (68 citations), Genetics (22 citations) and Health Informatics (2 citations). Brandon Blue has collaborated with scholars based in United States, Puerto Rico and United Kingdom. Frequent co-authors include Suhong Luo, Kristen M. Sanfilippo, Kenneth R. Carson, Katiuscia O’Brian, Brian F. Gage, Jesse Keller, Tzu‐Fei Wang, Taiga Nishihori, Rachid Baz and Melissa Alsina. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Journal of Geriatric Oncology and Blood Advances.
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.