Powel H. Brown
- Molecular Biology top 1%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Genetics top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Susan G. HilsenbeckMichelle I. SavageAbhijit MazumdarAnna TsimelzonIván P. UrayGordon B. MillsMichael J. BirrerM. J. Birrer
- Topics
- Estrogen and related hormone effects (74 papers)Retinoids in leukemia and cellular processes (42 papers)Cancer-related Molecular Pathways (35 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Powel H. Brown
219 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 5.2k
- Oncology 3.9k
- Cancer Research 2.6k
- Genetics 2.3k
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by Powel H. Brown
This map shows the geographic impact of Powel H. 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 Powel H. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Powel H. Brown more than expected).
Fields of papers citing papers by Powel H. Brown
This network shows the impact of papers produced by Powel H. 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 Powel H. Brown. The network helps show where Powel H. Brown may publish in the future.
Co-authorship network of co-authors of Powel H. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Powel H. Brown. A scholar is included among the top collaborators of Powel H. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Powel H. Brown. Powel H. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 31 | |
| 8 | 70 | |
| 9 | ARID1A Deficiency Impairs the DNA Damage Checkpoint and Sensitizes Cells to PARP Inhibitorsbreakdown → | 358 |
| 10 | 67 | |
| 11 | 49 | |
| 12 | Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancerbreakdown → | 936 |
| 13 | 341 | |
| 14 | 76 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 77 | |
| 18 | 115 | |
| 19 | 62 | |
| 20 | 38 |
About Powel H. Brown
Powel H. Brown is a scholar working on Oncology, Genetics and Cancer Research, having authored 223 papers that have together received 10.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (74 papers), Retinoids in leukemia and cellular processes (42 papers) and Cancer-related Molecular Pathways (35 papers). The work is most often cited by research in Cancer Research (2.6k citations), Oncology (3.9k citations) and Genetics (2.3k citations). Powel H. Brown has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Susan G. Hilsenbeck, Michelle I. Savage, Abhijit Mazumdar, Anna Tsimelzon, Iván P. Uray, Gordon B. Mills, Michael J. Birrer, M. J. Birrer, Scott M. Lippman and Graham M. Poage. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.