Anna Brown
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 28
- Acute Myeloid Leukemia Research 26
- Chronic Myeloid Leukemia Treatments 8
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- Epigenetics and DNA Methylation 6
- Cancer-related gene regulation 4
- Co-authors
- A.M. Goforth (6 shared papers)Richard J. D’Andrea (19 shared papers)Hamish S. Scott (18 shared papers)Carlos E. Hormaeche (2 shared papers)Christopher N Hahn (16 shared papers)Sonya M. Diakiw (6 shared papers)Stefano Casola (1 shared paper)Graham F. Kay (1 shared paper)
- Journals
- Blood (16 papers)Blood Advances (3 papers)Chemistry of Materials (3 papers)Leukemia (3 papers)Seminars in Hematology (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Anna Brown
69 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Hematology 431
- Genetics 154
- Endocrinology 79
- Cancer Research 142
- Immunology 207
Countries citing papers authored by Anna Brown
This map shows the geographic impact of Anna 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 Anna Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Brown more than expected).
Fields of papers citing papers by Anna Brown
This network shows the impact of papers produced by Anna 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 Anna Brown. The network helps show where Anna Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna 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
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 114 | |
| 2 | 1987 | 107 | |
| 3 | 2014 | 103 | |
| 4 | 2013 | 99 | |
| 5 | 2012 | 66 | |
| 6 | 2017 | 59 | |
| 7 | 2020 | 58 | |
| 8 | 1999 | 57 | |
| 9 | 1989 | 55 | |
| 10 | 1990 | 54 | |
| 11 | 2010 | 50 | |
| 12 | 2014 | 48 | |
| 13 | 2009 | 47 | |
| 14 | 2013 | 46 | |
| 15 | 2017 | 44 | |
| 16 | 2011 | 39 | |
| 17 | 2016 | 39 | |
| 18 | 2006 | 38 | |
| 19 | 2018 | 38 | |
| 20 | 2017 | 37 |
About Anna Brown
Anna Brown is a scholar working on Hematology, Molecular Biology, Genetics, Genetics and Public Health, Environmental and Occupational Health, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Epigenetics and DNA Methylation (6 papers), Nanoparticle-Based Drug Delivery (4 papers), Quantum Dots Synthesis And Properties (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Hematology (431 citations), Genetics (154 citations), Endocrinology (79 citations), Cancer Research (142 citations) and Immunology (207 citations). Anna Brown has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include A.M. Goforth, Richard J. D’Andrea, Hamish S. Scott, Carlos E. Hormaeche, Christopher N Hahn, Sonya M. Diakiw, Stefano Casola, Graham F. Kay, Matthew M. Rechler and Yves R. Boisclair. Their work appears in journals such as Blood, Blood Advances, Chemistry of Materials, Leukemia and Seminars in Hematology.
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.