Patrick Skippen

651 total citations
16 papers, 301 citations indexed

About

Patrick Skippen is a scholar working on Cognitive Neuroscience, Neurology and Physiology. According to data from OpenAlex, Patrick Skippen has authored 16 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Neurology and 6 papers in Physiology. Recurrent topics in Patrick Skippen's work include Pain Mechanisms and Treatments (6 papers), Transcranial Magnetic Stimulation Studies (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Patrick Skippen is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Transcranial Magnetic Stimulation Studies (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Patrick Skippen collaborates with scholars based in Australia, United States and Canada. Patrick Skippen's co-authors include Frini Karayanidis, Patrick S. Cooper, Aaron S. W. Wong, Patricia T. Michie, James F. Cavanagh, Siobhan M. Schabrun, Andrew Heathcote, W. Ross Fulham, Dóra Matzke and David A. Seminowicz and has published in prestigious journals such as NeuroImage, European Journal of Neuroscience and Psychophysiology.

In The Last Decade

Patrick Skippen

16 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Skippen Australia	9	203	55	45	42	34	16	301
Marco Orsini Brazil	10	166 0.8×	37 0.7×	16 0.4×	33 0.8×	25 0.7×	25	282
Toshiki Yoshimine Japan	4	351 1.7×	45 0.8×	41 0.9×	35 0.8×	35 1.0×	7	460
Sanne Kikkert Switzerland	7	118 0.6×	84 1.5×	33 0.7×	18 0.4×	48 1.4×	12	264
Sara M. Romanella United States	12	204 1.0×	129 2.3×	54 1.2×	61 1.5×	9 0.3×	28	377
Numan Ermutlu Türkiye	9	215 1.1×	20 0.4×	55 1.2×	33 0.8×	69 2.0×	13	371
Daniel M. McCalley United States	8	153 0.8×	163 3.0×	17 0.4×	18 0.4×	36 1.1×	18	275
Ziv Peremen Israel	8	183 0.9×	91 1.7×	30 0.7×	29 0.7×	11 0.3×	16	293
Alica C. Dieler Germany	11	269 1.3×	133 2.4×	14 0.3×	73 1.7×	12 0.4×	13	415
K. A. Delemos United States	6	229 1.1×	59 1.1×	128 2.8×	39 0.9×	31 0.9×	6	327
Yagna Pathak United States	9	141 0.7×	54 1.0×	8 0.2×	32 0.8×	21 0.6×	17	279

Countries citing papers authored by Patrick Skippen

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Skippen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Skippen. 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 Patrick Skippen. The network helps show where Patrick Skippen may publish in the future.

Co-authorship network of co-authors of Patrick Skippen

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

All Works

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16 of 16 papers shown

1.

Skippen, Patrick, Alan Chiang, Wei‐Ju Chang, et al.. (2024). Can non‐invasive brain stimulation modulate peak alpha frequency in the human brain? A systematic review and meta‐analysis. European Journal of Neuroscience. 60(3). 4182–4200. 7 indexed citations

2.

Singh, Mervyn, Patrick Skippen, Jason He, et al.. (2024). Developmental patterns of inhibition and fronto‐basal‐ganglia white matter organisation in healthy children and children with attention‐deficit/hyperactivity disorder. Human Brain Mapping. 45(15). e70010–e70010. 1 indexed citations

3.

Chowdhury, Nahian, Alan Chiang, Patrick Skippen, et al.. (2023). Combined transcranial magnetic stimulation and electroencephalography reveals alterations in cortical excitability during pain. eLife. 12. 4 indexed citations

4.

Chowdhury, Nahian, Alan Chiang, Patrick Skippen, et al.. (2023). Combined transcranial magnetic stimulation and electroencephalography reveals alterations in cortical excitability during pain. eLife. 12. 8 indexed citations

5.

Skippen, Patrick, Alan Chiang, Wei‐Ju Chang, et al.. (2023). Can non-invasive brain stimulation modulate peak alpha frequency in the human brain? A systematic review and meta-analysis. bioRxiv (Cold Spring Harbor Laboratory). 2 indexed citations

6.

Singh, Mervyn, Patrick Skippen, Jason He, et al.. (2022). Longitudinal developmental trajectories of inhibition and white-matter maturation of the fronto-basal-ganglia circuits. Developmental Cognitive Neuroscience. 58. 101171–101171. 5 indexed citations

7.

Chowdhury, Nahian, Patrick Skippen, Alan Chiang, et al.. (2022). The reliability of two prospective cortical biomarkers for pain: EEG peak alpha frequency and TMS corticomotor excitability. Journal of Neuroscience Methods. 385. 109766–109766. 18 indexed citations

8.

Chowdhury, Nahian, Wei‐Ju Chang, Patrick Skippen, et al.. (2022). The Effect of Acute and Sustained Pain on Corticomotor Excitability: A Systematic Review and Meta-Analysis of Group and Individual Level Data. Journal of Pain. 23(10). 1680–1696. 17 indexed citations

9.

Chowdhury, Nahian, Nigel C. Rogasch, Alan Chiang, et al.. (2022). The influence of sensory potentials on transcranial magnetic stimulation – Electroencephalography recordings. Clinical Neurophysiology. 140. 98–109. 15 indexed citations

10.

Chang, Wei‐Ju, Valentina Buscemi, Matthew Liston, et al.. (2021). Low Somatosensory Cortex Excitability in the Acute Stage of Low Back Pain Causes Chronic Pain. Journal of Pain. 23(2). 289–304. 23 indexed citations

11.

Cooper, Patrick S., et al.. (2021). Dissociable theta networks underlie the switch and mixing costs during task switching. Human Brain Mapping. 42(14). 4643–4657. 15 indexed citations

12.

Seminowicz, David A., Katarzyna Bilska, Nahian Chowdhury, et al.. (2020). A novel cortical biomarker signature for predicting pain sensitivity: protocol for the PREDICT longitudinal analytical validation study. PAIN Reports. 5(4). e833–e833. 5 indexed citations

13.

Skippen, Patrick, W. Ross Fulham, Patricia T. Michie, et al.. (2020). Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop‐signal task. Psychophysiology. 57(10). e13619–e13619. 24 indexed citations

14.

Skippen, Patrick, Patrick S. Cooper, Aaron S. W. Wong, et al.. (2019). Does cognitive control ability mediate the relationship between reward-related mechanisms, impulsivity, and maladaptive outcomes in adolescence and young adulthood?. Cognitive Affective & Behavioral Neuroscience. 19(3). 653–676. 14 indexed citations

15.

Cooper, Patrick S., et al.. (2019). Frontal theta predicts specific cognitive control-induced behavioural changes beyond general reaction time slowing. NeuroImage. 189. 130–140. 99 indexed citations

16.

Skippen, Patrick, Dóra Matzke, Andrew Heathcote, et al.. (2018). Reliability of triggering inhibitory process is a better predictor of impulsivity than SSRT. Acta Psychologica. 192. 104–117. 44 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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