Emma Perkins

1.3k total citations
20 papers, 510 citations indexed

About

Emma Perkins is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Emma Perkins has authored 20 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Emma Perkins's work include Genetic Neurodegenerative Diseases (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Mitochondrial Function and Pathology (4 papers). Emma Perkins is often cited by papers focused on Genetic Neurodegenerative Diseases (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Mitochondrial Function and Pathology (4 papers). Emma Perkins collaborates with scholars based in United Kingdom, United States and India. Emma Perkins's co-authors include M. T. Jackson, Yvonne L. Clarkson, Alastair Robert Lyndon, Jeffrey D. Rothstein, David J. A. Wyllie, Christopher P. Millward, Daumante Šuminaite, Mayank B. Dutia, P.M. Larkman and Masao Watanabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Emma Perkins

19 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Perkins United Kingdom 13 308 292 129 79 67 20 510
María-Victoria Hinckelmann France 8 280 0.9× 413 1.4× 73 0.6× 183 2.3× 90 1.3× 9 639
Lisa Bertram Canada 7 467 1.5× 572 2.0× 79 0.6× 64 0.8× 149 2.2× 8 782
Chuan-En Wang United States 7 481 1.6× 508 1.7× 71 0.6× 62 0.8× 155 2.3× 8 693
Hiromi Tamada Japan 9 137 0.4× 258 0.9× 90 0.7× 66 0.8× 102 1.5× 15 507
Rosalind Norkett United Kingdom 10 163 0.5× 531 1.8× 92 0.7× 105 1.3× 78 1.2× 11 709
Haruko Nakamura Japan 11 127 0.4× 270 0.9× 58 0.4× 79 1.0× 70 1.0× 24 455
Lauren Shields United States 6 169 0.5× 347 1.2× 102 0.8× 36 0.5× 42 0.6× 8 527
Silvia Massari Italy 8 208 0.7× 274 0.9× 41 0.3× 117 1.5× 71 1.1× 9 492
Yuanzheng Gao United States 6 261 0.8× 322 1.1× 49 0.4× 37 0.5× 45 0.7× 8 491

Countries citing papers authored by Emma Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Emma Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Perkins. A scholar is included among the top collaborators of Emma Perkins 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 Emma Perkins. Emma Perkins 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.
2.
Krásný, Lukáš, Jessica Burns, Emma Perkins, et al.. (2024). Clinical Implications and Molecular Features of Extracellular Matrix Networks in Soft Tissue Sarcomas. Clinical Cancer Research. 30(15). 3229–3242. 3 indexed citations
3.
O’Leary, Heather, Elizabeth C. Davenport, Paul Baxter, et al.. (2024). Enhanced hippocampal LTP but normal NMDA receptor and AMPA receptor function in a rat model of CDKL5 deficiency disorder. Molecular Autism. 15(1). 28–28. 4 indexed citations
4.
Krásný, Lukáš, Emma Perkins, Andrew Jenks, et al.. (2022). Proteomic Profiling Identifies Co-Regulated Expression of Splicing Factors as a Characteristic Feature of Intravenous Leiomyomatosis. Cancers. 14(12). 2907–2907. 3 indexed citations
5.
Perkins, Emma, Karen Burr, Poulomi Banerjee, et al.. (2021). Altered network properties in C9ORF72 repeat expansion cortical neurons are due to synaptic dysfunction. Molecular Neurodegeneration. 16(1). 13–13. 35 indexed citations
6.
Barton, Samantha K., Dario Magnani, Matthew R. Livesey, et al.. (2021). TDP-43 proteinopathy in oligodendrocytes revealed using an induced pluripotent stem cell model. Brain Communications. 3(4). fcab255–fcab255. 5 indexed citations
7.
Banerjee, Poulomi, Emma Perkins, Boyd Kenkhuis, et al.. (2020). Generation of pure monocultures of human microglia-like cells from induced pluripotent stem cells. Stem Cell Research. 49. 102046–102046. 31 indexed citations
8.
Brown, Alexander S., Pratap Meera, Ravi Chopra, et al.. (2018). MTSS1/Src family kinase dysregulation underlies multiple inherited ataxias. Proceedings of the National Academy of Sciences. 115(52). E12407–E12416. 20 indexed citations
9.
Perkins, Emma, Yvonne L. Clarkson, Daumante Šuminaite, et al.. (2018). Loss of cerebellar glutamate transporters EAAT4 and GLAST differentially affects the spontaneous firing pattern and survival of Purkinje cells. Human Molecular Genetics. 27(15). 2614–2627. 25 indexed citations
10.
Rayman, Gerry, et al.. (2017). Acute treatment induced diabetic neuropathy in a 15 year old boy. Endocrine Abstracts. 2 indexed citations
11.
Perkins, Emma, Daumante Šuminaite, Yvonne L. Clarkson, et al.. (2016). Posterior cerebellar Purkinje cells in an SCA5/SPARCA1 mouse model are especially vulnerable to the synergistic effect of loss of β-III spectrin and GLAST. Human Molecular Genetics. 25(20). ddw274–ddw274. 16 indexed citations
12.
Perkins, Emma, Daumante Šuminaite, & M. T. Jackson. (2016). Cerebellar ataxias: β‐III spectrin's interactions suggest common pathogenic pathways. The Journal of Physiology. 594(16). 4661–4676. 19 indexed citations
13.
14.
Smillie, Karen J., et al.. (2013). Control of synaptic vesicle endocytosis by an extracellular signalling molecule. Nature Communications. 4(1). 2394–2394. 28 indexed citations
15.
Gao, Yuanzheng, Emma Perkins, Yvonne L. Clarkson, et al.. (2011). β-III Spectrin Is Critical for Development of Purkinje Cell Dendritic Tree and Spine Morphogenesis. Journal of Neuroscience. 31(46). 16581–16590. 57 indexed citations
16.
Perkins, Emma, Yvonne L. Clarkson, Christopher P. Millward, et al.. (2010). Loss of beta-III spectrin leads to purkinje cell dysfunction recapitulating the behavior and neuropathology of soinocerebellar ataxia type 5 in humans. Journal of Neuroscience Research. 30(14). 4857–4867. 67 indexed citations
17.
Perkins, Emma, Yvonne L. Clarkson, Nancy Sabatier, et al.. (2010). Loss of β-III Spectrin Leads to Purkinje Cell Dysfunction Recapitulating the Behavior and Neuropathology of Spinocerebellar Ataxia Type 5 in Humans. Journal of Neuroscience. 30(14). 4857–4867. 99 indexed citations
18.
Clarkson, Yvonne L., Trudi Gillespie, Emma Perkins, Alastair Robert Lyndon, & M. T. Jackson. (2010).  -III spectrin mutation L253P associated with spinocerebellar ataxia type 5 interferes with binding to Arp1 and protein trafficking from the Golgi. Human Molecular Genetics. 19(18). 3634–3641. 40 indexed citations
19.
Larkman, P.M. & Emma Perkins. (2005). A TASK‐like pH‐ and amine‐sensitive ‘leak’ K+ conductance regulates neonatal rat facial motoneuron excitability in vitro. European Journal of Neuroscience. 21(3). 679–691. 23 indexed citations
20.
Perkins, Emma, et al.. (2003). Building Brighter Futures. ScholarWorks - MoreheadState (Morehead State University). 9 indexed citations

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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