R. Ryley Parrish

1.6k total citations
36 papers, 1.1k citations indexed

About

R. Ryley Parrish is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, R. Ryley Parrish has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 15 papers in Cognitive Neuroscience. Recurrent topics in R. Ryley Parrish's work include Neuroscience and Neuropharmacology Research (19 papers), Neural dynamics and brain function (11 papers) and Epigenetics and DNA Methylation (8 papers). R. Ryley Parrish is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Neural dynamics and brain function (11 papers) and Epigenetics and DNA Methylation (8 papers). R. Ryley Parrish collaborates with scholars based in United States, United Kingdom and Finland. R. Ryley Parrish's co-authors include Farah D. Lubin, Andrew J. Trevelyan, Avinash Honasoge, Gavin Rumbaugh, María Dolores Rubio, Jason White, J. David Sweatt, Courtney A. Miller, Cristin F. Gavin and Ivonne Rivera and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Brain.

In The Last Decade

R. Ryley Parrish

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Ryley Parrish United States 14 610 392 322 287 106 36 1.1k
Brandon C. McKinney United States 18 601 1.0× 424 1.1× 342 1.1× 336 1.2× 83 0.8× 23 1.1k
Won Mah South Korea 12 635 1.0× 428 1.1× 551 1.7× 463 1.6× 134 1.3× 16 1.3k
Annie Vogel Ciernia United States 20 689 1.1× 390 1.0× 403 1.3× 436 1.5× 63 0.6× 34 1.5k
Takahiro Soda United States 11 711 1.2× 363 0.9× 356 1.1× 214 0.7× 90 0.8× 23 1.2k
Constance Smith‐Hicks United States 15 555 0.9× 413 1.1× 411 1.3× 275 1.0× 58 0.5× 31 1.1k
Yuanming Wu China 20 711 1.2× 823 2.1× 189 0.6× 310 1.1× 101 1.0× 69 1.6k
Giovanni Provenzano Italy 17 381 0.6× 333 0.8× 423 1.3× 518 1.8× 105 1.0× 43 1.1k
Catherine A. Christian United States 19 359 0.6× 436 1.1× 278 0.9× 157 0.5× 144 1.4× 49 1.4k
Jessica A. Burket United States 21 381 0.6× 318 0.8× 364 1.1× 418 1.5× 121 1.1× 49 1000
Tianzhang Ye United States 10 885 1.5× 207 0.5× 455 1.4× 154 0.5× 102 1.0× 13 1.3k

Countries citing papers authored by R. Ryley Parrish

Since Specialization
Citations

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

Fields of papers citing papers by R. Ryley Parrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Ryley Parrish. 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 R. Ryley Parrish. The network helps show where R. Ryley Parrish may publish in the future.

Co-authorship network of co-authors of R. Ryley Parrish

This figure shows the co-authorship network connecting the top 25 collaborators of R. Ryley Parrish. A scholar is included among the top collaborators of R. Ryley Parrish 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 R. Ryley Parrish. R. Ryley Parrish 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.
Rolston, John D., Shervin Rahimpour, Juha Voipio, et al.. (2025). Rodent and human seizures demonstrate a dynamic interplay with spreading depolarizations. Neurobiology of Disease. 211. 106937–106937. 2 indexed citations
2.
Parker, Genevieve, Amy C. Reynolds, E. Evans, et al.. (2025). Effect of Exogenous Ketones as an Adjunct to Low-Calorie Diet on Metabolic Markers. Nutrients. 17(22). 3582–3582.
3.
Palmer, I., Genevieve Parker, Arthur Chiu, et al.. (2025). RAGE Knockout Mitigates Diet-Induced Obesity and Metabolic Disruption. Metabolites. 15(8). 524–524.
4.
Ianov, Lara, et al.. (2024). Alterations in DNA 5-hydroxymethylation patterns in the hippocampus of an experimental model of chronic epilepsy. Neurobiology of Disease. 200. 106638–106638. 3 indexed citations
5.
McMeekin, Laura J., Neela K. Codadu, Simon Cockell, et al.. (2024). RNA Sequencing Demonstrates Ex Vivo Neocortical Transcriptomic Changes Induced by Epileptiform Activity in Male and Female Mice. eNeuro. 11(5). ENEURO.0520–23.2024. 1 indexed citations
6.
Parrish, R. Ryley, et al.. (2024). An Open-Source 3D–Printed Recording Stage with Customizable Chambers for Ex Vivo Experiments. eNeuro. 11(9). ENEURO.0257–24.2024.
7.
8.
Goodchild, Samuel J., Noah Gregory Shuart, Wenlei Ye, et al.. (2024). Molecular Pharmacology of Selective Na V 1.6 and Dual Na V 1.6/Na V 1.2 Channel Inhibitors that Suppress Excitatory Neuronal Activity Ex Vivo. ACS Chemical Neuroscience. 15(6). 1169–1184. 8 indexed citations
9.
Parrish, R. Ryley, et al.. (2023). Optogenetic ion pumps differ with respect to the secondary pattern of K + redistribution. Physiological Reports. 11(15). e15778–e15778. 1 indexed citations
10.
Thouta, Samrat, Matthew Waldbrook, Sophia Lin, et al.. (2022). Pharmacological determination of the fractional block of Nav channels required to impair neuronal excitability and ex vivo seizures. Frontiers in Cellular Neuroscience. 16. 964691–964691. 7 indexed citations
11.
Parrish, R. Ryley, Faye McLeod, Neela K. Codadu, et al.. (2022). Indirect Effects of Halorhodopsin Activation: Potassium Redistribution, Nonspecific Inhibition, and Spreading Depolarization. Journal of Neuroscience. 43(5). 685–692. 11 indexed citations
12.
Parrish, R. Ryley, et al.. (2021). PV-specific loss of the transcriptional coactivator PGC-1α slows down the evolution of epileptic activity in an acute ictogenic model. Journal of Neurophysiology. 127(1). 86–98. 3 indexed citations
13.
Codadu, Neela K., R. Ryley Parrish, & Andrew J. Trevelyan. (2019). Region‐specific differences and areal interactions underlying transitions in epileptiform activity. The Journal of Physiology. 597(7). 2079–2096. 23 indexed citations
14.
Schevon, Catherine A., Steven Tobochnik, Tahra L. Eissa, et al.. (2019). Multiscale recordings reveal the dynamic spatial structure of human seizures. Neurobiology of Disease. 127. 303–311. 37 indexed citations
15.
Parrish, R. Ryley, Megan Rich, William M. Webb, et al.. (2019). Human and rodent temporal lobe epilepsy is characterized by changes in O-GlcNAc homeostasis that can be reversed to dampen epileptiform activity. Neurobiology of Disease. 124. 531–543. 19 indexed citations
16.
Parrish, R. Ryley, John P. Grady, Neela K. Codadu, Claudia Racca, & Andrew J. Trevelyan. (2018). Graphical user interface for simultaneous profiling of activity patterns in multiple neuronal subclasses. Data in Brief. 20. 226–233. 1 indexed citations
17.
Parrish, R. Ryley, John P. Grady, Neela K. Codadu, Andrew J. Trevelyan, & Claudia Racca. (2018). Simultaneous profiling of activity patterns in multiple neuronal subclasses. Journal of Neuroscience Methods. 303. 16–29. 5 indexed citations
18.
19.
Lubin, Farah D., Swati Gupta, R. Ryley Parrish, Nicola M. Grissom, & Robin L. Davis. (2011). Epigenetic Mechanisms: Critical Contributors to Long-Term Memory Formation. The Neuroscientist. 17(6). 616–632. 69 indexed citations
20.
Miller, Courtney A., Cristin F. Gavin, Jason White, et al.. (2010). Cortical DNA methylation maintains remote memory. Nature Neuroscience. 13(6). 664–666. 399 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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