James K. Trevathan

835 total citations
26 papers, 469 citations indexed

About

James K. Trevathan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, James K. Trevathan has authored 26 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 12 papers in Neurology. Recurrent topics in James K. Trevathan's work include Neuroscience and Neural Engineering (14 papers), EEG and Brain-Computer Interfaces (11 papers) and Vagus Nerve Stimulation Research (9 papers). James K. Trevathan is often cited by papers focused on Neuroscience and Neural Engineering (14 papers), EEG and Brain-Computer Interfaces (11 papers) and Vagus Nerve Stimulation Research (9 papers). James K. Trevathan collaborates with scholars based in United States, Canada and China. James K. Trevathan's co-authors include Kip A. Ludwig, Evan N. Nicolai, Justin C. Williams, Megan L. Settell, J. Luis Luján, Andrew J. Shoffstall, Bruce E. Knudsen, Warren M. Grill, Nicole A. Pelot and Kendall H. Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and Spine.

In The Last Decade

James K. Trevathan

25 papers receiving 465 citations

Peers

James K. Trevathan

CMN

NEURO

Megan L. Settell United States

Evan N. Nicolai United States

Mortimer Gierthmuehlen Germany

Cristian Sevcencu Denmark

Anne‐Kathrin Gellner Germany

Naoyuki Himi Japan

Schalow Giselher Germany

Jeyakumar Subbaroyan United States

Filippo Agnesi United States

Matteo Maria Ottaviani Italy

Megan L. Settell United States

James K. Trevathan

260 ×1.0

CMN

203 ×1.0

NEURO

169 ×1.2

104 ×1.3

NEURO

58 ×0.8

Citations per year, relative to James K. Trevathan James K. Trevathan (= 1×) peers Megan L. Settell

Countries citing papers authored by James K. Trevathan

Since Specialization

Citations

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

Fields of papers citing papers by James K. Trevathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James K. Trevathan. 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 James K. Trevathan. The network helps show where James K. Trevathan may publish in the future.

Co-authorship network of co-authors of James K. Trevathan

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

All Works

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20 of 20 papers shown

Osting, Susan, James K. Trevathan, John‐Paul J. Yu, et al.. (2025). Assessing changes in whole-brain structural connectivity in the unilateral 6-hydroxydopamine rat model of Parkinson’s disease using diffusion imaging and tractography. Journal of Neural Engineering. 22(4). 46005–46005.

Graham, Robert, Nishant Verma, James K. Trevathan, et al.. (2024). Computational modeling of dorsal root ganglion stimulation using an Injectrode. Journal of Neural Engineering. 21(2). 26039–26039. 1 indexed citations

Osting, Susan, Samuel A. Hurley, Ajay Paul Singh, et al.. (2023). Quantifying changes in local basal ganglia structural connectivity in the 6-hydroxydopamine model of Parkinson's Disease using correlational tractography. PubMed. 2023. 1–4. 4 indexed citations

Verma, Nishant, Bruce E. Knudsen, Megan L. Settell, et al.. (2023). Microneurography as a minimally invasive method to assess target engagement during neuromodulation. Journal of Neural Engineering. 20(2). 26036–26036. 7 indexed citations

Settell, Megan L., Bruce E. Knudsen, Evan N. Nicolai, et al.. (2023). Spatially selective stimulation of the pig vagus nerve to modulate target effect versus side effect. Journal of Neural Engineering. 20(1). 16051–16051. 35 indexed citations

Dalrymple, Ashley N, Jordyn E. Ting, Rohit Bose, et al.. (2021). Stimulation of the dorsal root ganglion using an Injectrode ^®. Journal of Neural Engineering. 18(5). 56068–56068. 15 indexed citations

Verma, Nishant, Robert Graham, James K. Trevathan, et al.. (2021). Augmented Transcutaneous Stimulation Using an Injectable Electrode: A Computational Study. Frontiers in Bioengineering and Biotechnology. 9. 796042–796042. 4 indexed citations

Settell, Megan L., Bruce E. Knudsen, Evan N. Nicolai, et al.. (2021). In vivo Visualization of Pig Vagus Nerve “Vagotopy” Using Ultrasound. Frontiers in Neuroscience. 15. 13 indexed citations

Anders, Jennifer, et al.. (2021). Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters. PLoS ONE. 16(7). e0254594–e0254594. 4 indexed citations

10.

Boschen, Suelen L., et al.. (2021). Defining a Path Toward the Use of Fast-Scan Cyclic Voltammetry in Human Studies. Frontiers in Neuroscience. 15. 728092–728092. 12 indexed citations

11.

Purcell, Erin K., Michael Becker, Yue Guo, et al.. (2021). Next-Generation Diamond Electrodes for Neurochemical Sensing: Challenges and Opportunities. Micromachines. 12(2). 128–128. 23 indexed citations

12.

Verma, Nishant, et al.. (2021). Auricular Vagus Neuromodulation—A Systematic Review on Quality of Evidence and Clinical Effects. Frontiers in Neuroscience. 15. 664740–664740. 36 indexed citations

13.

Trevathan, James K., Jennifer Anders, Evan N. Nicolai, et al.. (2020). Calcium imaging in freely moving mice during electrical stimulation of deep brain structures. Journal of Neural Engineering. 18(2). 26008–26008. 18 indexed citations

14.

Settell, Megan L., Nicole A. Pelot, Bruce E. Knudsen, et al.. (2020). Functional vagotopy in the cervical vagus nerve of the domestic pig: implications for the study of vagus nerve stimulation. Journal of Neural Engineering. 17(2). 26022–26022. 66 indexed citations

15.

Nicolai, Evan N., Megan L. Settell, Bruce E. Knudsen, et al.. (2020). Sources of off-target effects of vagus nerve stimulation using the helical clinical lead in domestic pigs. Journal of Neural Engineering. 17(4). 46017–46017. 46 indexed citations

16.

Brodnick, Sarah K., Weifeng Zeng, Jared P. Ness, et al.. (2020). Clinically-derived vagus nerve stimulation enhances cerebrospinal fluid penetrance. Brain stimulation. 13(4). 1024–1030. 32 indexed citations

17.

Kimble, Christopher J., et al.. (2017). Multifunctional system for observing, measuring and analyzing stimulation-evoked neurochemical signaling. PubMed. 2017. 349–354. 2 indexed citations

18.

Nicolai, Evan N., James K. Trevathan, J. Luis Luján, et al.. (2017). Detection of norepinephrine in whole blood via fast scan cyclic voltammetry. PubMed. 2017. 111–116. 15 indexed citations

19.

Lee, Kendall H., J. Luis Luján, James K. Trevathan, et al.. (2017). WINCS Harmoni: Closed-loop dynamic neurochemical control of therapeutic interventions. Scientific Reports. 7(1). 46675–46675. 54 indexed citations

20.

Trevathan, James K., et al.. (2017). Computational Modeling of Neurotransmitter Release Evoked by Electrical Stimulation: Nonlinear Approaches to Predicting Stimulation-Evoked Dopamine Release. ACS Chemical Neuroscience. 8(2). 394–410. 23 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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