Patrick A. Brown
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 73
- Chronic Myeloid Leukemia Treatments 33
- Hematopoietic Stem Cell Transplantation 14
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 24
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
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- Acute Lymphoblastic Leukemia research 95
- Oncology top 2%
- CAR-T cell therapy research 23
- Molecular Biology top 2%
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- Childhood Cancer Survivors' Quality of Life 29
Patrick A. Brown
156 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Hematology 2.8k
- Genetics 748
- Public Health, Environmental and Occupational Health 1.7k
- Oncology 1.3k
- Molecular Biology 2.9k
Countries citing papers authored by Patrick A. Brown
This map shows the geographic impact of Patrick A. Brown'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 Patrick A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick A. Brown more than expected).
Fields of papers citing papers by Patrick A. Brown
This network shows the impact of papers produced by Patrick A. Brown. 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 Patrick A. Brown. The network helps show where Patrick A. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick A. Brown, 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 | 2024 | 11 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 33 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 51 | |
| 9 | 2017 | 7 | |
| 10 | 2016 | 56 | |
| 11 | 2015 | 29 | |
| 12 | 2014 | 25 | |
| 13 | 2013 | 57 | |
| 14 | 2013 | 34 | |
| 15 | 2012 | 79 | |
| 16 | Dose-dense induction followed by autologous stem cell transplant (ASCT) leads to sustained remissions in a large fraction of patients with previously untreated peripheral t-cell lymphomas (PTCLS) - overall and subtype-specific results of a phase II study from the nordic lymphoma group | 2009 | 20 |
| 17 | 2008 | 6 | |
| 18 | 2007 | 7 | |
| 19 | Answers to key questions about childhood leukemia--for the generalist | 2006 | 1 |
| 20 | 2004 | 47 |
About Patrick A. Brown
Patrick A. Brown is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Oncology, having authored 160 papers that have together received 5.7k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (95 papers), Acute Myeloid Leukemia Research (73 papers), Chronic Myeloid Leukemia Treatments (33 papers), Childhood Cancer Survivors' Quality of Life (29 papers), Chronic Lymphocytic Leukemia Research (24 papers), CAR-T cell therapy research (23 papers), Hematopoietic Stem Cell Transplantation (14 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers). The work is most often cited by research in Hematology (2.8k citations), Genetics (748 citations), Public Health, Environmental and Occupational Health (1.7k citations), Oncology (1.3k citations) and Molecular Biology (2.9k citations). Patrick A. Brown has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Donald Small, Edward Allan R. Sison, Stacy Cooper, Daniel Magoon, Mark J. Levis, Rachel E. Rau, Emily McIntyre, Peter Valent, Mark Wunderlich and Jun Qi. Their work appears in journals such as Blood, Journal of Clinical Oncology, Pediatric Blood & Cancer, Oncotarget and Leukemia.
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.