Peter E. Yoo

573 total citations
9 papers, 142 citations indexed

About

Peter E. Yoo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Peter E. Yoo has authored 9 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Peter E. Yoo's work include EEG and Brain-Computer Interfaces (5 papers), Neurological disorders and treatments (4 papers) and Neuroscience and Neural Engineering (3 papers). Peter E. Yoo is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neurological disorders and treatments (4 papers) and Neuroscience and Neural Engineering (3 papers). Peter E. Yoo collaborates with scholars based in Australia, United States and Malaysia. Peter E. Yoo's co-authors include Thomas J. Oxley, Nicholas L. Opie, Sam E. John, Terence J. O’Brien, Yan T. Wong, David B. Grayden, Stephen M. Ronayne, Gil S. Rind, Thomas R. Vale and Clive N. May and has published in prestigious journals such as NeuroImage, Scientific Reports and Human Brain Mapping.

In The Last Decade

Peter E. Yoo

9 papers receiving 140 citations

Peers

Peter E. Yoo

CN

CMN

BE

EEE

RNMI

Timothy John Haynes Lovell Australia

Shin-ichiro Osawa Japan

Arantxa Alfaro Spain

Virginia Woods United States

Leila Ghanbari United States

Sharon Jewell United Kingdom

Russell E. Carter United States

John Myers United States

Taegyo Kim United States

Charles Wang United States

Timothy John Haynes Lovell Australia

Peter E. Yoo

65 ×0.8

CN

95 ×1.5

CMN

41 ×1.0

BE

21 ×1.1

EEE

10 ×0.6

RNMI

Citations per year, relative to Peter E. Yoo Peter E. Yoo (= 1×) peers Timothy John Haynes Lovell

Countries citing papers authored by Peter E. Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Peter E. Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter E. Yoo

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

All Works

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9 of 9 papers shown

1.

Yoo, Peter E., Adam Fry, David Lacomis, et al.. (2025). Motor activity in gamma and high gamma bands recorded with a Stentrode from the human motor cortex in two people with ALS. Journal of Neural Engineering. 22(2). 26036–26036. 2 indexed citations

2.

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

3.

Opie, Nicholas L., Stephen M. Ronayne, Gil S. Rind, Peter E. Yoo, & Thomas J. Oxley. (2020). Mechanical suitability of an endovascular braincomputer interface. 1–6. 5 indexed citations

4.

Oxley, Thomas J., Peter Mitchell, Nicholas L. Opie, et al.. (2020). LB-008 Motor neuroprosthesis implanted using cerebral venography improves activities of daily living in severe paralysis. A165–A166. 1 indexed citations

5.

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

6.

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

7.

Yoo, Peter E., Jon O. Cleary, Scott Kolbe, et al.. (2018). Optimized partial-coverage functional analysis pipeline (OPFAP): a semi-automated pipeline for skull stripping and co-registration of partial-coverage, ultra-high-field functional images. Magnetic Resonance Materials in Physics Biology and Medicine. 31(5). 621–632. 3 indexed citations

8.

Yoo, Peter E., Maureen A. Hagan, Sam E. John, et al.. (2018). Spatially dynamic recurrent information flow across long‐range dorsal motor network encodes selective motor goals. Human Brain Mapping. 39(6). 2635–2650. 5 indexed citations

9.

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

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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