Victoria Brown

3.0k citations
8 papers · 2.5k indexed · 2 hit papers · h-index 7
Topics
RNA modifications and cancer (5 papers)Genetics and Neurodevelopmental Disorders (5 papers)RNA Research and Splicing (2 papers)
Partner nations
United States

In The Last Decade

Victoria Brown

8 papers receiving 2.4k citations

Hit Papers

Microarray Identification of FMRP-Associated Brain mRNAs ...200120262009201720012001250500750

Peers

Victoria Brown
Comparison fields: 5 of 71
  • Molecular Biology 2.2k
  • Genetics 1.7k
  • Cognitive Neuroscience 526
  • Cellular and Molecular Neuroscience 198
  • Cell Biology 149
Replace Derek E. Eberhart with:
Derek E. Eberhart United States
Claire Fraser United States
William T. O'Donnell United States
Edwin Mientjes Netherlands
Hervé Moine France
M. Nakamoto United States
Ka Ying Sharon Hung United States
Laura N. Antar United States
María Clara Bonaglia Italy
Stephanie Ceman United States
Victoria Brown relative to Derek E. Eberhart United States Derek E. Eberhart's profile →
Citations per field
00.5×1.5×1.9×
Derek E. Eberhart · 1×
Citations per year

Countries citing papers authored by Victoria Brown

Since Specialization
Citations

This map shows the geographic impact of Victoria 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 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 Brown more than expected).

Fields of papers citing papers by Victoria Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Brown. A scholar is included among the top collaborators of Victoria 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 Victoria Brown. Victoria Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 2
2 54
3
Fragile X Mental Retardation Protein Targets G Quartet mRNAs Important for Neuronal Functionbreakdown →
792
4
Microarray Identification of FMRP-Associated Brain mRNAs and Altered mRNA Translational Profiles in Fragile X Syndromebreakdown →
906
5 157
6 18
7 144
8 414

About Victoria Brown

Victoria Brown is a scholar working on Endocrinology, Genetics and Molecular Biology, having authored 8 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (1.7k citations), Molecular Biology (2.2k citations) and Cognitive Neuroscience (526 citations). Victoria Brown has collaborated with scholars based in United States. Frequent co-authors include Stephen T. Warren, Peng Jin, Robert B. Darnell, Jennifer C. Darnell, Yue Feng, Kirk B. Jensen, Stephanie Ceman, Keith D. Wilkinson, William T. O'Donnell and Jack D. Keene. Their work appears in journals such as Cell, Journal of Biological Chemistry and Molecular Cell.

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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