Hilda Brown

638 total citations
24 papers, 498 citations indexed

About

Hilda Brown is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Hilda Brown has authored 24 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 12 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Hilda Brown's work include Amyotrophic Lateral Sclerosis Research (17 papers), Neurogenetic and Muscular Disorders Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Hilda Brown is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (17 papers), Neurogenetic and Muscular Disorders Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Hilda Brown collaborates with scholars based in United States, Canada and Australia. Hilda Brown's co-authors include David Borchelt, Guilian Xu, Jacob I. Ayers, Susan Fromholt, Jada Lewis, Megan W. Bourassa, Lisa M. Miller, Keith Crosby, Stefan Vogt and Julian P. Whitelegge and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Cell Science.

In The Last Decade

Hilda Brown

24 papers receiving 494 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hilda Brown United States 15 305 289 135 90 81 24 498
Natalie E. Farrawell Australia 14 301 1.0× 247 0.9× 158 1.2× 63 0.7× 58 0.7× 20 476
Maria Grazia Pesaresi Italy 8 319 1.0× 256 0.9× 118 0.9× 60 0.7× 90 1.1× 8 534
Joshua D. Kidd United States 9 356 1.2× 166 0.6× 167 1.2× 62 0.7× 75 0.9× 11 504
Florent Laferrière France 12 345 1.1× 422 1.5× 109 0.8× 70 0.8× 110 1.4× 16 639
Stefania Guareschi Italy 7 381 1.2× 205 0.7× 159 1.2× 62 0.7× 86 1.1× 8 486
Rafaa Zeineddine Australia 7 404 1.3× 348 1.2× 183 1.4× 84 0.9× 135 1.7× 7 641
Shashirekha S. Markandaiah United States 7 426 1.4× 291 1.0× 248 1.8× 131 1.5× 79 1.0× 10 644
Jun-ichi Niwa Japan 8 417 1.4× 334 1.2× 203 1.5× 112 1.2× 83 1.0× 9 653
Paola Zago Italy 5 449 1.5× 409 1.4× 223 1.7× 67 0.7× 158 2.0× 7 671
Yevgeniya Abramzon United States 6 327 1.1× 216 0.7× 161 1.2× 71 0.8× 68 0.8× 7 506

Countries citing papers authored by Hilda Brown

Since Specialization
Citations

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

Fields of papers citing papers by Hilda Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hilda Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Hilda Brown. A scholar is included among the top collaborators of Hilda 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 Hilda Brown. Hilda 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
1.
McAlary, Luke, Hilda Brown, Justin J. Yerbury, et al.. (2020). Tryptophan residue 32 in human Cu-Zn superoxide dismutase modulates prion-like propagation and strain selection. PLoS ONE. 15(1). e0227655–e0227655. 22 indexed citations
2.
Brown, Hilda, et al.. (2019). N-terminal sequences in matrin 3 mediate phase separation into droplet-like structures that recruit TDP43 variants lacking RNA binding elements. Laboratory Investigation. 99(7). 1030–1040. 28 indexed citations
3.
Moloney, Christina M., Sruti Rayaprolu, John Howard, et al.. (2018). Analysis of spinal and muscle pathology in transgenic mice overexpressing wild-type and ALS-linked mutant MATR3. Acta Neuropathologica Communications. 6(1). 137–137. 22 indexed citations
4.
Ayers, Jacob I., Kristen Skruber, Hilda Brown, et al.. (2018). ALS-Linked SOD1 Mutants Enhance Neurite Outgrowth and Branching in Adult Motor Neurons. iScience. 11. 294–304. 32 indexed citations
5.
6.
Triplett, Judy C., James D. Thomas, Hilda Brown, et al.. (2018). Characterization of gene regulation and protein interaction networks for Matrin 3 encoding mutations linked to amyotrophic lateral sclerosis and myopathy. Scientific Reports. 8(1). 4049–4049. 32 indexed citations
7.
Ayers, Jacob I., Benjamin H. McMahon, Sabrina Gill, et al.. (2016). Relationship between mutant Cu/Zn superoxide dismutase 1 maturation and inclusion formation in cell models. Journal of Neurochemistry. 140(1). 140–150. 17 indexed citations
8.
Fromholt, Susan, et al.. (2016). Generation of a new transgenic mouse model for assessment of tau gene silencing therapies. Alzheimer s Research & Therapy. 8(1). 36–36. 2 indexed citations
9.
Brown, Hilda, et al.. (2015). Subcellular Localization of Matrin 3 Containing Mutations Associated with ALS and Distal Myopathy. PLoS ONE. 10(11). e0142144–e0142144. 41 indexed citations
10.
Xu, Guilian, Jacob I. Ayers, Hilda Brown, et al.. (2014). Direct and indirect mechanisms for wild-type SOD1 to enhance the toxicity of mutant SOD1 in bigenic transgenic mice. Human Molecular Genetics. 24(4). 1019–1035. 14 indexed citations
11.
Bourassa, Megan W., Hilda Brown, David Borchelt, Stefan Vogt, & Lisa M. Miller. (2014). Metal-deficient aggregates and diminished copper found in cells expressing SOD1 mutations that cause ALS. Frontiers in Aging Neuroscience. 6. 110–110. 57 indexed citations
12.
Brown, Hilda & David Borchelt. (2014). Analysis of Mutant SOD1 Electrophoretic Mobility by Blue Native Gel Electrophoresis; Evidence for Soluble Multimeric Assemblies. PLoS ONE. 9(8). e104583–e104583. 6 indexed citations
13.
Xu, Guilian, Susan Fromholt, Jacob I. Ayers, et al.. (2014). Substantially elevating the levels of αB‐crystallin in spinal motor neurons of mutant SOD1 mice does not significantly delay paralysis or attenuate mutant protein aggregation. Journal of Neurochemistry. 133(3). 452–464. 11 indexed citations
14.
Qualls, David, Keith Crosby, Hilda Brown, & David Borchelt. (2013). An Analysis of Interactions between Fluorescently-Tagged Mutant and Wild-Type SOD1 in Intracellular Inclusions. PLoS ONE. 8(12). e83981–e83981. 7 indexed citations
15.
Qualls, David, et al.. (2013). Features of wild-type human SOD1 limit interactions with misfolded aggregates of mouse G86R Sod1. Molecular Neurodegeneration. 8(1). 46–46. 13 indexed citations
16.
17.
Brown, Hilda, et al.. (2012). Role of Disulfide Cross-Linking of Mutant SOD1 in the Formation of Inclusion-Body-Like Structures. PLoS ONE. 7(10). e47838–e47838. 24 indexed citations
18.
Xu, Guilian, Stanley M. Stevens, Hilda Brown, et al.. (2012). Identification of Proteins Sensitive to Thermal Stress in Human Neuroblastoma and Glioma Cell Lines. PLoS ONE. 7(11). e49021–e49021. 28 indexed citations
19.
Tebbenkamp, Andrew T.N., Keith Crosby, Zoe Siemienski, et al.. (2012). Analysis of Proteolytic Processes and Enzymatic Activities in the Generation of Huntingtin N-Terminal Fragments in an HEK293 Cell Model. PLoS ONE. 7(12). e50750–e50750. 17 indexed citations
20.

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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