Jennifer R. Brown
- Genetics top 0.02%
- Chronic Lymphocytic Leukemia Research 382
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment 188
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments 70
- Immunology top 0.5%
- Immunodeficiency and Autoimmune Disorders 99
- Oncology top 0.5%
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- Advanced Breast Cancer Therapies 49
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- PI3K/AKT/mTOR signaling in cancer 34
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- Acute Lymphoblastic Leukemia research 30
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- Monoclonal and Polyclonal Antibodies Research 27
- Co-authors
- Matthew S. DavidsThomas J. KippsWilliam G. WierdaJohn M. PagelBrad S. KahlAnthony LetaiJohn F. SeymourMichael E. Greenberg
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jennifer R. Brown
422 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Genetics 8.3k
- Pathology and Forensic Medicine 6.5k
- Hematology 2.9k
- Immunology 3.6k
- Oncology 3.6k
Countries citing papers authored by Jennifer R. Brown
This map shows the geographic impact of Jennifer R. 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 Jennifer R. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer R. Brown more than expected).
Fields of papers citing papers by Jennifer R. Brown
This network shows the impact of papers produced by Jennifer R. 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 Jennifer R. Brown. The network helps show where Jennifer R. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer R. 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 45 | |
| 5 | 2019 | 144 | |
| 6 | 2019 | 2 | |
| 7 | 2016 | 227 | |
| 8 | 2016 | 62 | |
| 9 | 2016 | 215 | |
| 10 | 2015 | 45 | |
| 11 | 2014 | 109 | |
| 12 | 2013 | 15 | |
| 13 | 2012 | 142 | |
| 14 | 2012 | 59 | |
| 15 | 2012 | 45 | |
| 16 | 2011 | 6 | |
| 17 | 2011 | 39 | |
| 18 | 2011 | 100 | |
| 19 | 2011 | 74 | |
| 20 | 2008 | 80 |
About Jennifer R. Brown
Jennifer R. Brown is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 451 papers that have together received 14.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (382 papers), Lymphoma Diagnosis and Treatment (188 papers), Immunodeficiency and Autoimmune Disorders (99 papers), Chronic Myeloid Leukemia Treatments (70 papers), Advanced Breast Cancer Therapies (49 papers), PI3K/AKT/mTOR signaling in cancer (34 papers), Acute Lymphoblastic Leukemia research (30 papers) and Monoclonal and Polyclonal Antibodies Research (27 papers). The work is most often cited by research in Genetics (8.3k citations), Pathology and Forensic Medicine (6.5k citations) and Hematology (2.9k citations). Jennifer R. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Matthew S. Davids, Thomas J. Kipps, William G. Wierda, John M. Pagel, Brad S. Kahl, Anthony Letai, John F. Seymour, Michael E. Greenberg, Richard R. Furman and Andrew W. Roberts. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.