Raquel Phillips

4.4k total citations
27 papers, 2.0k citations indexed

About

Raquel Phillips is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Raquel Phillips has authored 27 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Raquel Phillips's work include Functional Brain Connectivity Studies (25 papers), EEG and Brain-Computer Interfaces (9 papers) and Neural dynamics and brain function (6 papers). Raquel Phillips is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), EEG and Brain-Computer Interfaces (9 papers) and Neural dynamics and brain function (6 papers). Raquel Phillips collaborates with scholars based in United States, United Kingdom and Japan. Raquel Phillips's co-authors include Jerzy Bodurka, Vadim Zotev, Han Yuan, Wayne C. Drevets, Masaya Misaki, Kymberly D. Young, Frank Krüeger, Greg J. Siegle, Ruben P. Alvarez and Matthew T. Feldner and has published in prestigious journals such as PLoS ONE, NeuroImage and American Journal of Psychiatry.

In The Last Decade

Raquel Phillips

26 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raquel Phillips United States 21 1.7k 451 261 251 230 27 2.0k
Jazmin Camchong United States 22 1.4k 0.8× 436 1.0× 503 1.9× 266 1.1× 317 1.4× 41 1.9k
Kymberly D. Young United States 20 1.2k 0.7× 504 1.1× 151 0.6× 174 0.7× 223 1.0× 41 1.7k
Sufang Li China 14 1.7k 1.1× 485 1.1× 637 2.4× 252 1.0× 437 1.9× 18 2.2k
Zhang-Ye Dong China 9 1.8k 1.1× 408 0.9× 650 2.5× 209 0.8× 332 1.4× 9 2.1k
Ayse Ilkay Isik Germany 6 1.7k 1.0× 453 1.0× 427 1.6× 149 0.6× 238 1.0× 9 2.1k
Mathias Goncalves United States 7 1.6k 1.0× 379 0.8× 478 1.8× 147 0.6× 249 1.1× 14 2.1k
Jessey Wright United States 7 1.6k 1.0× 375 0.8× 435 1.7× 144 0.6× 238 1.0× 10 2.0k
Edna C. Cieslik Germany 22 1.9k 1.1× 546 1.2× 383 1.5× 213 0.8× 418 1.8× 42 2.4k
Kimberly L. Ray United States 19 2.6k 1.6× 732 1.6× 574 2.2× 293 1.2× 502 2.2× 31 3.3k
Ross Blair United States 6 1.6k 0.9× 368 0.8× 440 1.7× 144 0.6× 241 1.0× 12 2.0k

Countries citing papers authored by Raquel Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Phillips. A scholar is included among the top collaborators of Raquel Phillips 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 Raquel Phillips. Raquel Phillips 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
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Young, Kymberly D., Vadim Zotev, Raquel Phillips, et al.. (2018). Amygdala real‐time functional magnetic resonance imaging neurofeedback for major depressive disorder: A review. Psychiatry and Clinical Neurosciences. 72(7). 466–481. 55 indexed citations
4.
Luo, Qingfei, et al.. (2018). Automatic cardiac cycle determination directly from EEG-fMRI data by multi-scale peak detection method. Journal of Neuroscience Methods. 304. 168–184. 4 indexed citations
5.
Zotev, Vadim, Raquel Phillips, Masaya Misaki, et al.. (2018). Real-time fMRI neurofeedback training of the amygdala activity with simultaneous EEG in veterans with combat-related PTSD. NeuroImage Clinical. 19. 106–121. 92 indexed citations
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Young, Kymberly D., Greg J. Siegle, Vadim Zotev, et al.. (2017). Randomized Clinical Trial of Real-Time fMRI Amygdala Neurofeedback for Major Depressive Disorder: Effects on Symptoms and Autobiographical Memory Recall. American Journal of Psychiatry. 174(8). 748–755. 204 indexed citations
8.
Misaki, Masaya, Raquel Phillips, Vadim Zotev, et al.. (2017). Connectome-wide investigation of altered resting-state functional connectivity in war veterans with and without posttraumatic stress disorder. NeuroImage Clinical. 17. 285–296. 44 indexed citations
9.
Young, Kymberly D., Greg J. Siegle, Masaya Misaki, et al.. (2017). Altered task-based and resting-state amygdala functional connectivity following real-time fMRI amygdala neurofeedback training in major depressive disorder. NeuroImage Clinical. 17. 691–703. 71 indexed citations
10.
Young, Kymberly D., Masaya Misaki, Catherine J. Harmer, et al.. (2017). Real-Time Functional Magnetic Resonance Imaging Amygdala Neurofeedback Changes Positive Information Processing in Major Depressive Disorder. Biological Psychiatry. 82(8). 578–586. 65 indexed citations
11.
Zotev, Vadim, et al.. (2016). Automatic EEG-assisted retrospective motion correction for fMRI (aE-REMCOR). NeuroImage. 129. 133–147. 20 indexed citations
12.
Yuan, Han, Lei Ding, Min Zhu, et al.. (2015). Reconstructing Large-Scale Brain Resting-State Networks from High-Resolution EEG: Spatial and Temporal Comparisons with fMRI. Brain Connectivity. 6(2). 122–135. 59 indexed citations
13.
Misaki, Masaya, et al.. (2015). Real-time fMRI processing with physiological noise correction – Comparison with off-line analysis. Journal of Neuroscience Methods. 256. 117–121. 22 indexed citations
14.
Young, Kymberly D., Vadim Zotev, Raquel Phillips, et al.. (2014). Real-Time fMRI Neurofeedback Training of Amygdala Activity in Patients with Major Depressive Disorder. PLoS ONE. 9(2). e88785–e88785. 192 indexed citations
15.
Yuan, Han, Kymberly D. Young, Raquel Phillips, et al.. (2014). Resting-State Functional Connectivity Modulation and Sustained Changes After Real-Time Functional Magnetic Resonance Imaging Neurofeedback Training in Depression. Brain Connectivity. 4(9). 690–701. 98 indexed citations
16.
Zotev, Vadim, Raquel Phillips, Han Yuan, Masaya Misaki, & Jerzy Bodurka. (2013). Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback. NeuroImage. 85. 985–995. 156 indexed citations
17.
Zotev, Vadim, Raquel Phillips, Kymberly D. Young, Wayne C. Drevets, & Jerzy Bodurka. (2013). Prefrontal Control of the Amygdala during Real-Time fMRI Neurofeedback Training of Emotion Regulation. PLoS ONE. 8(11). e79184–e79184. 112 indexed citations
18.
Zotev, Vadim, Han Yuan, Raquel Phillips, & Jerzy Bodurka. (2012). EEG-assisted retrospective motion correction for fMRI: E-REMCOR. NeuroImage. 63(2). 698–712. 20 indexed citations
19.
Yuan, Han, Vadim Zotev, Raquel Phillips, Wayne C. Drevets, & Jerzy Bodurka. (2012). Spatiotemporal dynamics of the brain at rest — Exploring EEG microstates as electrophysiological signatures of BOLD resting state networks. NeuroImage. 60(4). 2062–2072. 265 indexed citations
20.
Zotev, Vadim, Frank Krüeger, Raquel Phillips, et al.. (2011). Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback. PLoS ONE. 6(9). e24522–e24522. 226 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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