Sam E. John

1.6k total citations
51 papers, 705 citations indexed

About

Sam E. John is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sam E. John has authored 51 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cellular and Molecular Neuroscience, 32 papers in Cognitive Neuroscience and 12 papers in Biomedical Engineering. Recurrent topics in Sam E. John's work include Neuroscience and Neural Engineering (33 papers), EEG and Brain-Computer Interfaces (29 papers) and Neural dynamics and brain function (8 papers). Sam E. John is often cited by papers focused on Neuroscience and Neural Engineering (33 papers), EEG and Brain-Computer Interfaces (29 papers) and Neural dynamics and brain function (8 papers). Sam E. John collaborates with scholars based in Australia, United States and South Korea. Sam E. John's co-authors include David B. Grayden, Thomas J. Oxley, Nicholas L. Opie, Stephen M. Ronayne, Gil S. Rind, Terence J. O’Brien, Clive N. May, Yan T. Wong, J I Mann and Adam Thompson and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Sam E. John

46 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam E. John Australia 15 372 344 161 130 124 51 705
Nicholas L. Opie Australia 16 446 1.2× 391 1.1× 150 0.9× 181 1.4× 142 1.1× 45 743
Walter G. Besio United States 19 417 1.1× 497 1.4× 215 1.3× 58 0.4× 140 1.1× 94 1.1k
Stephen T. Foldes United States 16 649 1.7× 781 2.3× 324 2.0× 121 0.9× 180 1.5× 31 1.2k
Jeffrey Ashe United States 14 188 0.5× 155 0.5× 322 2.0× 177 1.4× 172 1.4× 34 916
Chunyan Li United States 17 172 0.5× 87 0.3× 163 1.0× 94 0.7× 102 0.8× 66 682
Ammar Shaikhouni United States 13 608 1.6× 712 2.1× 313 1.9× 164 1.3× 113 0.9× 32 1.1k
Elvira Pirondini Switzerland 18 209 0.6× 517 1.5× 356 2.2× 56 0.4× 103 0.8× 44 946
Naresh C. Bhavaraju United States 12 283 0.8× 270 0.8× 83 0.5× 45 0.3× 221 1.8× 16 631
Amorn Wongsarnpigoon United States 12 297 0.8× 183 0.5× 113 0.7× 68 0.5× 137 1.1× 17 718
Zachary T. Irwin United States 15 563 1.5× 544 1.6× 266 1.7× 93 0.7× 93 0.8× 28 832

Countries citing papers authored by Sam E. John

Since Specialization
Citations

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

Fields of papers citing papers by Sam E. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam E. John. 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 Sam E. John. The network helps show where Sam E. John may publish in the future.

Co-authorship network of co-authors of Sam E. John

This figure shows the co-authorship network connecting the top 25 collaborators of Sam E. John. A scholar is included among the top collaborators of Sam E. John 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 Sam E. John. Sam E. John 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.
John, Sam E., et al.. (2025). Decoding imagined movement in people with multiple sclerosis for brain–computer interface translation. Journal of Neural Engineering. 22(1). 16012–16012. 2 indexed citations
2.
John, Sam E., et al.. (2025). Feasibility of source-level motor imagery classification for people with multiple sclerosis. Journal of Neural Engineering. 22(2). 26020–26020. 1 indexed citations
3.
Grayden, David B., et al.. (2025). Sub-scalp EEG for sensorimotor brain–computer interface. Journal of Neural Engineering. 22(4). 46008–46008.
4.
Harris, Alexander R., et al.. (2025). Endovascular neural stimulation with platinum and platinum black modified electrodes. Scientific Reports. 15(1). 9676–9676.
5.
John, Sam E., et al.. (2025). Towards developing brain-computer interfaces for people with Multiple Sclerosis. PLoS ONE. 20(3). e0319811–e0319811.
6.
Grayden, David B., et al.. (2024). Feasibility of endovascular stimulation of the femoral nerve using a stent-mounted electrode array. Journal of Neural Engineering. 21(3). 36034–36034. 2 indexed citations
7.
Ooi, Andrew, et al.. (2024). Haemodynamics of stent-mounted neural interfaces in tapered and deformed blood vessels. Scientific Reports. 14(1). 7212–7212. 3 indexed citations
8.
John, Sam E., et al.. (2023). Longwave infrared multispectral image sensor system using aluminum-germanium plasmonic filter arrays. Nano Research. 16(7). 10018–10025. 4 indexed citations
9.
Harris, Alexander R., David B. Grayden, & Sam E. John. (2023). Electrochemistry in a Two- or Three-Electrode Configuration to Understand Monopolar or Bipolar Configurations of Platinum Bionic Implants. Micromachines. 14(4). 722–722. 19 indexed citations
10.
Grayden, David B., et al.. (2022). Computational modeling of endovascular peripheral nerve stimulation using a stent-mounted electrode array. Journal of Neural Engineering. 20(3). 36013–36013. 8 indexed citations
11.
John, Sam E., Ian Birchall, Andrew Ooi, et al.. (2022). Vascular remodeling in sheep implanted with endovascular neural interface. Journal of Neural Engineering. 19(5). 56043–56043. 6 indexed citations
12.
Delbeke, Jean, et al.. (2021). Preliminary Minimum Reporting Requirements for In-Vivo Neural Interface Research: I. Implantable Neural Interfaces. IEEE Open Journal of Engineering in Medicine and Biology. 2. 74–83. 5 indexed citations
13.
Yoo, Peter E., Thomas J. Oxley, Maureen A. Hagan, et al.. (2020). Distinct Neural Correlates Underlie Inhibitory Mechanisms of Motor Inhibition and Motor Imagery Restraint. Frontiers in Behavioral Neuroscience. 14. 77–77. 6 indexed citations
14.
Opie, Nicholas L., Sam E. John, Gil S. Rind, et al.. (2018). Focal stimulation of the sheep motor cortex with a chronically implanted minimally invasive electrode array mounted on an endovascular stent. Nature Biomedical Engineering. 2(12). 907–914. 85 indexed citations
15.
Yoo, Peter E., Thomas J. Oxley, Sam E. John, et al.. (2018). Feasibility of identifying the ideal locations for motor intention decoding using unimodal and multimodal classification at 7T-fMRI. Scientific Reports. 8(1). 15556–15556. 6 indexed citations
16.
Yoo, Peter E., Sam E. John, Shawna Farquharson, et al.. (2017). 7T-fMRI: Faster temporal resolution yields optimal BOLD sensitivity for functional network imaging specifically at high spatial resolution. NeuroImage. 164. 214–229. 29 indexed citations
17.
Steward, Christopher, Bradford A. Moffat, Nicholas L. Opie, et al.. (2016). Development and Implementation of a Corriedale Ovine Brain Atlas for Use in Atlas-Based Segmentation. PLoS ONE. 11(6). e0155974–e0155974. 14 indexed citations
18.
Opie, Nicholas L., Sam E. John, Gil S. Rind, et al.. (2016). Chronic impedance spectroscopy of an endovascular stent-electrode array. Journal of Neural Engineering. 13(4). 46020–46020. 43 indexed citations
19.
John, Sam E., Mohit N. Shivdasani, Chris E. Williams, et al.. (2013). Suprachoroidal electrical stimulation: effects of stimulus pulse parameters on visual cortical responses. Journal of Neural Engineering. 10(5). 56011–56011. 24 indexed citations
20.
John, Sam E., Mohit N. Shivdasani, James B. Fallon, et al.. (2011). An automated system for rapid evaluation of high-density electrode arrays in neural prostheses. Journal of Neural Engineering. 8(3). 36011–36011. 15 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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