Bryan S. Barker

1.0k total citations
18 papers, 668 citations indexed

About

Bryan S. Barker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Bryan S. Barker has authored 18 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Psychiatry and Mental health. Recurrent topics in Bryan S. Barker's work include Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (8 papers) and Epilepsy research and treatment (5 papers). Bryan S. Barker is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (8 papers) and Epilepsy research and treatment (5 papers). Bryan S. Barker collaborates with scholars based in United States, United Kingdom and Japan. Bryan S. Barker's co-authors include Manoj K. Patel, Matteo Ottolini, Miriam H. Meisler, Jacy L. Wagnon, Ronald P. Gaykema, Ali D. Güler, Eric R. Wengert, Aarti M. Purohit, Ryan M. Grippo and Anthony Spano and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Brain.

In The Last Decade

Bryan S. Barker

17 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan S. Barker United States 13 313 305 192 160 72 18 668
Robert C. Wykes United Kingdom 15 479 1.5× 287 0.9× 173 0.9× 107 0.7× 182 2.5× 31 904
Valeswara‐Rao Gazula United States 10 407 1.3× 667 2.2× 211 1.1× 356 2.2× 145 2.0× 11 1.1k
Heinz Krestel Switzerland 16 299 1.0× 353 1.2× 155 0.8× 118 0.7× 154 2.1× 31 805
Tara Klassen Canada 15 449 1.4× 589 1.9× 303 1.6× 159 1.0× 107 1.5× 22 1.0k
Erik Smedler Sweden 13 164 0.5× 283 0.9× 74 0.4× 65 0.4× 57 0.8× 23 604
Gabriele Lignani Italy 22 679 2.2× 829 2.7× 222 1.2× 330 2.1× 174 2.4× 38 1.5k
Ulrike B. S. Hedrich Germany 16 480 1.5× 421 1.4× 236 1.2× 151 0.9× 142 2.0× 33 1.1k
Liliya Silayeva United States 6 333 1.1× 428 1.4× 70 0.4× 130 0.8× 82 1.1× 6 666
Takafumi Miki Japan 19 600 1.9× 629 2.1× 78 0.4× 109 0.7× 106 1.5× 29 965
Brett Simms Canada 11 579 1.8× 766 2.5× 75 0.4× 91 0.6× 60 0.8× 14 1.0k

Countries citing papers authored by Bryan S. Barker

Since Specialization
Citations

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

Fields of papers citing papers by Bryan S. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan S. Barker. 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 Bryan S. Barker. The network helps show where Bryan S. Barker may publish in the future.

Co-authorship network of co-authors of Bryan S. Barker

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

All Works

18 of 18 papers shown
1.
2.
Jung, Jinha, Songlin Fei, Mitch Tuinstra, et al.. (2024). Data to science: an open-source online platform for managing, visualizing, and publishing UAS data. 4–4.
3.
Barker, Bryan S., Jay Spampanato, Hilary S. McCarren, et al.. (2021). The Kv7 Modulator, Retigabine, is an Efficacious Antiseizure Drug for Delayed Treatment of Organophosphate-induced Status Epilepticus. Neuroscience. 463. 143–158. 3 indexed citations
4.
Chang, Anjin, et al.. (2021). Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture. ISPRS International Journal of Geo-Information. 10(10). 677–677. 4 indexed citations
5.
Barker, Bryan S., Jay Spampanato, Hilary S. McCarren, et al.. (2019). Screening for Efficacious Anticonvulsants and Neuroprotectants in Delayed Treatment Models of Organophosphate-induced Status Epilepticus. Neuroscience. 425. 280–300. 19 indexed citations
6.
Hargus, Nicholas J., Bryan S. Barker, Matteo Ottolini, et al.. (2019). Inhibition of T-Type calcium channels in mEC layer II stellate neurons reduces neuronal hyperexcitability associated with epilepsy. Epilepsy Research. 154. 132–138. 9 indexed citations
7.
8.
Wagnon, Jacy L., Niccolò E. Mencacci, Bryan S. Barker, et al.. (2018). Partial loss-of-function of sodium channel SCN8A in familial isolated myoclonus. Human Mutation. 39(7). 965–969. 27 indexed citations
9.
Cottrell, Graeme S., Camille Soubrane, Michael Rigby, et al.. (2018). CACHD1 is an α2δ-Like Protein That Modulates CaV3 Voltage-Gated Calcium Channel Activity. Journal of Neuroscience. 38(43). 9186–9201. 30 indexed citations
10.
Bunton-Stasyshyn, Rosie, Jacy L. Wagnon, Eric R. Wengert, et al.. (2018). Prominent role of forebrain excitatory neurons inSCN8Aencephalopathy. Brain. 142(2). 362–375. 68 indexed citations
11.
Ottolini, Matteo, Bryan S. Barker, Ronald P. Gaykema, Miriam H. Meisler, & Manoj K. Patel. (2017). Aberrant Sodium Channel Currents and Hyperexcitability of Medial Entorhinal Cortex Neurons in a Mouse Model of SCN8A Encephalopathy. Journal of Neuroscience. 37(32). 7643–7655. 43 indexed citations
12.
Barker, Bryan S., et al.. (2017). Pro-excitatory alterations in sodium channel activity facilitate subiculum neuron hyperexcitability in temporal lobe epilepsy. Neurobiology of Disease. 108. 183–194. 20 indexed citations
13.
Wagnon, Jacy L., Bryan S. Barker, Matteo Ottolini, et al.. (2017). Loss-of-function variants of SCN8A in intellectual disability without seizures. Neurology Genetics. 3(4). e170–e170. 64 indexed citations
14.
Warthen, Daniel M., Matteo Ottolini, Yingtang Shi, et al.. (2016). Activation of Pyramidal Neurons in Mouse Medial Prefrontal Cortex Enhances Food-Seeking Behavior While Reducing Impulsivity in the Absence of an Effect on Food Intake. Frontiers in Behavioral Neuroscience. 10. 63–63. 35 indexed citations
15.
Wheeler, Michael A., Cody J. Smith, Matteo Ottolini, et al.. (2016). Genetically targeted magnetic control of the nervous system. Nature Neuroscience. 19(5). 756–761. 172 indexed citations
16.
Barker, Bryan S., et al.. (2016). The SCN8A encephalopathy mutation p.Ile1327Val displays elevated sensitivity to the anticonvulsant phenytoin. Epilepsia. 57(9). 1458–1466. 38 indexed citations
17.
Wagnon, Jacy L., Bryan S. Barker, Charlotte A. Haaxma, et al.. (2015). Pathogenic mechanism of recurrent mutations of SCN8A in epileptic encephalopathy. Annals of Clinical and Translational Neurology. 3(2). 114–123. 81 indexed citations
18.
Adhikari, Bimalendu, Alan J. Lough, Bryan S. Barker, et al.. (2014). Bis-amino Acid Derivatives of 1,1′-Ferrocenedicarboxylic Acid: Structural, Electrochemical, and Metal Ion Binding Studies. Organometallics. 33(18). 4873–4887. 20 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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