Jennifer Brown

2.0k total citations
46 papers, 1.5k citations indexed

About

Jennifer Brown is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jennifer Brown has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Jennifer Brown's work include Developmental Biology and Gene Regulation (8 papers), Congenital heart defects research (6 papers) and Autism Spectrum Disorder Research (4 papers). Jennifer Brown is often cited by papers focused on Developmental Biology and Gene Regulation (8 papers), Congenital heart defects research (6 papers) and Autism Spectrum Disorder Research (4 papers). Jennifer Brown collaborates with scholars based in United States, United Kingdom and Australia. Jennifer Brown's 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 and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Jennifer Brown

44 papers receiving 1.5k citations

Peers

Jennifer Brown
Comparison fields: 5 of 123
  • Molecular Biology 964
  • Cellular and Molecular Neuroscience 373
  • Genetics 233
  • Cognitive Neuroscience 171
  • Cell Biology 126
Replace Stephen L. Kinsman with:
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Citations per field, relative to Jennifer Brown
Jennifer Brown · 1×
Citations per year, relative to Jennifer Brown
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Countries citing papers authored by Jennifer Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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