Victoria E. Brown
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Fungal and yeast genetics research
- Renal and related cancers
- Cancer Research top 10%
Papers in
-
- Fungal and yeast genetics research 3
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 2
-
- Advanced Breast Cancer Therapies 5
- Renal cell carcinoma treatment 2
- Co-authors
- Mark Johnston (3 shared papers)Jeffrey Sabina (2 shared papers)Jessica A. Sexton (2 shared papers)Yoon Jong Choi (5 shared papers)Sabina Signoretti (6 shared papers)David A. Orlando (1 shared paper)Christian Fritz (1 shared paper)James E. Bradner (1 shared paper)
- Journals
- Cancer Research (4 papers)Eukaryotic Cell (2 papers)European Urology (1 paper)Clinical Cancer Research (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Victoria E. Brown
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 905
- Cancer Research 167
- Aging 18
- Infectious Diseases 161
- Oncology 214
Countries citing papers authored by Victoria E. Brown
This map shows the geographic impact of Victoria E. 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 Victoria E. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria E. Brown more than expected).
Fields of papers citing papers by Victoria E. Brown
This network shows the impact of papers produced by Victoria E. 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 Victoria E. Brown. The network helps show where Victoria E. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Victoria E. 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 | 2014 | 313 | |
| 2 | 2010 | 213 | |
| 3 | 2013 | 146 | |
| 4 | 2012 | 137 | |
| 5 | 2006 | 87 | |
| 6 | 2013 | 74 | |
| 7 | 2012 | 63 | |
| 8 | 2009 | 62 | |
| 9 | 2013 | 49 | |
| 10 | 2007 | 45 | |
| 11 | 2009 | 44 | |
| 12 | 2011 | 23 | |
| 13 | 2023 | 17 | |
| 14 | 1998 | 12 | |
| 15 | 2025 | 11 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Victoria E. Brown
Victoria E. Brown is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Infectious Diseases and Plant Science, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (5 papers), Antifungal resistance and susceptibility (3 papers), Fungal and yeast genetics research (3 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Renal cell carcinoma treatment (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (905 citations), Cancer Research (167 citations), Aging (18 citations), Infectious Diseases (161 citations) and Oncology (214 citations). Victoria E. Brown has collaborated with scholars based in United States and Israel. Frequent co-authors include Mark Johnston, Jeffrey Sabina, Jessica A. Sexton, Yoon Jong Choi, Sabina Signoretti, David A. Orlando, Christian Fritz, James E. Bradner, Eric R. Olson and Matthew G. Guenther. Their work appears in journals such as Cancer Research, Eukaryotic Cell, European Urology, Clinical Cancer Research and Current Biology.
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.