Jennifer Brown
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Cognitive Neuroscience top 10%
- Cell Biology top 10%
- Co-authors
- Kate G. StoreyJuan Carlos Izpisúa‐BelmonteCheryll TickleDenis DubouleJoshua T. DudmanPascal DolléAnne Louise OaklanderRobert A. Nichols
- Topics
- Developmental Biology and Gene Regulation (8 papers)Congenital heart defects research (6 papers)Autism Spectrum Disorder Research (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jennifer Brown
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 964
- Cellular and Molecular Neuroscience 373
- Genetics 233
- Cognitive Neuroscience 171
- Cell Biology 126
Countries citing papers authored by Jennifer Brown
This map shows the geographic impact of Jennifer 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 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 Brown more than expected).
Fields of papers citing papers by Jennifer Brown
This network shows the impact of papers produced by Jennifer 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 Brown. The network helps show where Jennifer Brown may publish in the future.
Co-authorship network of co-authors of Jennifer Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Brown. A scholar is included among the top collaborators of Jennifer 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 Jennifer Brown. Jennifer 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 | 0 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 18 | |
| 6 | 92 | |
| 7 | 38 | |
| 8 | Safety and efficiency of CRISPR-Cas9 gene editing in the retinal pigment epithelium | 1 |
| 9 | Histone Deacetylase Expression and Inhibition in Age Related Macular Degeneration | 1 |
| 10 | Epigenetic Regulation of Eotaxin Expression in Human Retinal Pigment Epithelium | 1 |
| 11 | 47 | |
| 12 | 66 | |
| 13 | 51 | |
| 14 | 79 | |
| 15 | 15 | |
| 16 | 24 | |
| 17 | 32 | |
| 18 | 88 | |
| 19 | 110 | |
| 20 | 16 |
About Jennifer Brown
Jennifer Brown is a scholar working on Developmental Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Congenital heart defects research (6 papers) and Autism Spectrum Disorder Research (4 papers). The work is most often cited by research in Developmental Biology (69 citations), Developmental Neuroscience (108 citations) and Cellular and Molecular Neuroscience (373 citations). Jennifer Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Kate G. Storey, Juan Carlos Izpisúa‐Belmonte, Cheryll Tickle, Denis Duboule, Joshua T. Dudman, Pascal Dollé, Anne Louise Oaklander, Robert A. Nichols, Wei‐Xing Pan and Donna S. Murray. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.