Jacquelyn A. Brown

2.3k citations
28 papers · 1.3k · h-index 20

Impact in

Papers in

Jacquelyn A. Brown

27 papers receiving 1.3k citations

Peers

Jacquelyn A. Brown
Comparison fields: 5 of 102
  • Neurology 186
  • Neurology 303
  • Cellular and Molecular Neuroscience 324
  • Biological Psychiatry 41
  • Developmental Neuroscience 61
Replace Laura Pellegrini with:
Laura Pellegrini United Kingdom
Irene Corradini Italy
Jennifer McDonough United States
Junzo Desaki Japan
Yukio Takeshita Japan
Maria Ribecco‐Lutkiewicz Canada
Barbara S. Mallon United States
Pike-See Cheah Malaysia
Fabio Bianco Italy
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Citations per field
00.5×10×20×30×37.5×
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Citations per year

Countries citing papers authored by Jacquelyn A. Brown

Since Specialization
Citations

This map shows the geographic impact of Jacquelyn A. 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 Jacquelyn A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacquelyn A. Brown more than expected).

Fields of papers citing papers by Jacquelyn A. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacquelyn A. 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 Jacquelyn A. Brown. The network helps show where Jacquelyn A. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Jacquelyn A. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacquelyn A. Brown Line = papers co-authored together Jacquelyn A. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015328
2 2016145
3 2010103
4 2013101
5 201085
6 200365
7 201154
8 201454
9 200844
10 200939
11 202036
12 201132
13 202032
14 201331
15 200331
16 201429
17 202023
18 202223
19 201320
20 201319

About Jacquelyn A. Brown

Jacquelyn A. Brown is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Epidemiology and Cell Biology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (6 papers), Barrier Structure and Function Studies (4 papers), Meningioma and schwannoma management (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Cellular Mechanics and Interactions (3 papers), Tryptophan and brain disorders (3 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (186 citations), Neurology (303 citations), Cellular and Molecular Neuroscience (324 citations), Biological Psychiatry (41 citations) and Developmental Neuroscience (61 citations). Jacquelyn A. Brown has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include David H. Gutmann, Paul C. Bridgman, Scott M. Gianino, John P. Wikswo, Kelly A. Diggs‐Andrews, David F. Wozniak, Aaron B. Bowman, Philip C. Samson, Ronald S. Reiserer and Donna J. Webb. Their work appears in journals such as Journal of Neuroinflammation, Molecular Psychiatry, Journal of Histochemistry & Cytochemistry, Molecular Biology of the Cell and The FASEB Journal.

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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