Myles Brown
- Cancer Research top 0.02%
- Molecular Biology top 0.02%
- Genomics and Chromatin Dynamics 58
- Epigenetics and DNA Methylation 30
- RNA Research and Splicing 25
- RNA modifications and cancer 18
- Ubiquitin and proteasome pathways 17
- Genetics top 0.02%
- Estrogen and related hormone effects 86
- Oncology top 0.05%
- HER2/EGFR in Cancer Research 19
- Pulmonary and Respiratory Medicine top 0.1%
- Prostate Cancer Treatment and Research 51
- Co-authors
- X. Shirley LiuClifford A. MeyerJérôme EeckhouteYong ZhangTao LiuWei LiDavid S. JohnsonChad Nusbaum
- Journals
- Cancer Research (32 papers)Proceedings of the National Academy of Sciences (21 papers)Molecular and Cellular Biology (12 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Myles Brown
282 papers receiving 49.9k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 10.2k
- Molecular Biology 35.8k
- Genetics 12.2k
- Oncology 10.3k
- Pulmonary and Respiratory Medicine 8.2k
Countries citing papers authored by Myles Brown
This map shows the geographic impact of Myles 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 Myles Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myles Brown more than expected).
Fields of papers citing papers by Myles Brown
This network shows the impact of papers produced by Myles 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 Myles Brown. The network helps show where Myles Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Myles 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 | 2020 | 27 | |
| 2 | 2020 | 12 | |
| 3 | 2020 | 45 | |
| 4 | 2020 | 11 | |
| 5 | Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistancebreakdown → | 2017 | 680 |
| 6 | 2016 | 20 | |
| 7 | 2016 | 31 | |
| 8 | 2015 | 16 | |
| 9 | 2014 | 136 | |
| 10 | 2014 | 158 | |
| 11 | 2011 | 109 | |
| 12 | 2011 | 73 | |
| 13 | 2010 | 41 | |
| 14 | 2010 | 107 | |
| 15 | 2009 | 23 | |
| 16 | 2009 | 67 | |
| 17 | 2008 | 164 | |
| 18 | 2008 | 36 | |
| 19 | 2008 | 139 | |
| 20 | 2007 | 274 |
About Myles Brown
Myles Brown is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 286 papers that have together received 50.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (86 papers), Genomics and Chromatin Dynamics (58 papers), Prostate Cancer Treatment and Research (51 papers), Epigenetics and DNA Methylation (30 papers), RNA Research and Splicing (25 papers), HER2/EGFR in Cancer Research (19 papers), RNA modifications and cancer (18 papers) and Ubiquitin and proteasome pathways (17 papers). The work is most often cited by research in Cancer Research (10.2k citations), Molecular Biology (35.8k citations) and Genetics (12.2k citations). Myles Brown has collaborated with scholars based in United States, China and Canada. Frequent co-authors include X. Shirley Liu, Clifford A. Meyer, Jérôme Eeckhoute, Yong Zhang, Tao Liu, Wei Li, David S. Johnson, Chad Nusbaum, B Bernstein and R Myers. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Molecular Endocrinology and Cancer 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.