Ashly Brown
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 2
- Developmental Biology and Gene Regulation 1
- RNA Research and Splicing 1
- CRISPR and Genetic Engineering 1
- Genetics 2
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Jason S. Snyder (1 shared paper)J. Frances Kamhi (1 shared paper)Heather A. Cameron (1 shared paper)Mark Zervas (5 shared papers)Nellwyn Hagan (4 shared papers)Jason T. Machan (1 shared paper)Lindsay N. Hayes (1 shared paper)Dorothy Koveal (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Machine Vision and Applications (1 paper)The Journal of Comparative Neurology (1 paper)Journal of Neuroscience (1 paper)Development (1 paper)
- Partner nations
- United States
In The Last Decade
Ashly Brown
7 papers receiving 432 citations
Peers
Comparison fields: 5 of 63
- Developmental Neuroscience 289
- Behavioral Neuroscience 51
- Cellular and Molecular Neuroscience 228
- Neurology 64
- Cognitive Neuroscience 104
Countries citing papers authored by Ashly Brown
This map shows the geographic impact of Ashly 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 Ashly Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashly Brown more than expected).
Fields of papers citing papers by Ashly Brown
This network shows the impact of papers produced by Ashly 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 Ashly Brown. The network helps show where Ashly Brown may publish in the future.
Co-authors
The 13 scholars most cited alongside Ashly 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 | 2009 | 339 | |
| 2 | 2013 | 38 | |
| 3 | 2011 | 27 | |
| 4 | 2009 | 13 | |
| 5 | 2009 | 13 | |
| 6 | Real-time stereo matching using transputer arrays for close-range applications | 1988 | 7 |
| 7 | 2009 | 1 |
About Ashly Brown
Ashly Brown is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Cell Biology, having authored 7 papers that have together received 438 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Developmental Biology and Gene Regulation (1 paper), RNA Research and Splicing (1 paper), Robotics and Sensor-Based Localization (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Developmental Neuroscience (289 citations), Behavioral Neuroscience (51 citations), Cellular and Molecular Neuroscience (228 citations), Neurology (64 citations) and Cognitive Neuroscience (104 citations). Ashly Brown has collaborated with scholars based in United States. Frequent co-authors include Jason S. Snyder, J. Frances Kamhi, Heather A. Cameron, Mark Zervas, Nellwyn Hagan, Jason T. Machan, Lindsay N. Hayes, Dorothy Koveal, Stephen Brown and Elizabeth A. Normand. Their work appears in journals such as Journal of Visualized Experiments, Machine Vision and Applications, The Journal of Comparative Neurology, Journal of Neuroscience and Development.
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.