Matthew E. Phillips

589 total citations
17 papers, 405 citations indexed

About

Matthew E. Phillips is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Matthew E. Phillips has authored 17 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Matthew E. Phillips's work include Neural and Behavioral Psychology Studies (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Neuroscience and Neural Engineering (3 papers). Matthew E. Phillips is often cited by papers focused on Neural and Behavioral Psychology Studies (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Neuroscience and Neural Engineering (3 papers). Matthew E. Phillips collaborates with scholars based in United States, Sweden and Canada. Matthew E. Phillips's co-authors include Andrew J. Taylor, David C. Willhite, Jaehoon Choe, Gordon M. Shepherd, Matthias Ziegler, Robert N. S. Sachdev, Brian A. Coffman, Praveen K. Pilly, Christopher C. Pack and Abhishek Datta and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

Matthew E. Phillips

17 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew E. Phillips United States	11	173	129	120	88	80	17	405
Charlotta Rühlmann Germany	4	153 0.9×	231 1.8×	39 0.3×	113 1.3×	82 1.0×	5	386
Kenneth C. Reinert United States	8	118 0.7×	270 2.1×	149 1.2×	131 1.5×	93 1.2×	8	416
Megan R. Sullivan United States	9	201 1.2×	247 1.9×	123 1.0×	99 1.1×	76 0.9×	13	424
Martin Kronenbuerger Germany	13	98 0.6×	285 2.2×	92 0.8×	33 0.4×	40 0.5×	31	616
Tomáš Sieger Czechia	17	201 1.2×	163 1.3×	115 1.0×	83 0.9×	14 0.2×	41	704
Declan G Lyons United Kingdom	4	90 0.5×	186 1.4×	139 1.2×	81 0.9×	17 0.2×	6	372
Enikö Račeková Slovakia	15	29 0.2×	106 0.8×	70 0.6×	67 0.8×	60 0.8×	51	488
Kevin Ung United States	12	71 0.4×	159 1.2×	72 0.6×	80 0.9×	94 1.2×	14	350
Chunfang Wang China	11	148 0.9×	41 0.3×	111 0.9×	47 0.5×	39 0.5×	36	335
Andrew M. Rosen United States	8	188 1.1×	191 1.5×	32 0.3×	132 1.5×	62 0.8×	12	415

Countries citing papers authored by Matthew E. Phillips

Since Specialization

Citations

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

Fields of papers citing papers by Matthew E. Phillips

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew E. Phillips

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

All Works

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17 of 17 papers shown

Krause, Matthew R., Theodoros P. Zanos, Praveen K. Pilly, et al.. (2017). Transcranial Direct Current Stimulation Facilitates Associative Learning and Alters Functional Connectivity in the Primate Brain. Current Biology. 27(20). 3086–3096.e3. 89 indexed citations

Bhattacharyya, Rajan, Brian A. Coffman, Jaehoon Choe, & Matthew E. Phillips. (2017). Does Neurotechnology Produce a Better Brain?. Computer. 50(2). 48–58. 2 indexed citations

Vu, An T., Jeffrey S. Phillips, Kendrick Kay, et al.. (2016). Using precise word timing information improves decoding accuracy in a multiband-accelerated multimodal reading experiment. Cognitive Neuropsychology. 33(3-4). 265–275. 11 indexed citations

Phillips, Matthew E., et al.. (2016). Investigation of Biases and Compensatory Strategies Using a Probabilistic Variant of the Wisconsin Card Sorting Test. Frontiers in Psychology. 7. 17–17. 10 indexed citations

Choe, Jaehoon, et al.. (2016). Transcranial Direct Current Stimulation Modulates Neuronal Activity and Learning in Pilot Training. Frontiers in Human Neuroscience. 10. 34–34. 64 indexed citations

Phillips, Matthew E., et al.. (2016). Neuromorphic and early warning behavior-based authentication for mobile devices. 1–5. 5 indexed citations

Howard, Michael D., et al.. (2015). The neural basis of decision-making during sensemaking: Implications for human-system interaction. 18. 1–16. 3 indexed citations

Phillips, Matthew E., et al.. (2014). Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex. Biologically Inspired Cognitive Architectures. 10. 17–23. 3 indexed citations

Phillips, Matthew E. & Matthias Ziegler. (2014). A Neurostimulation-based Advanced Training System for Human Performance Augmentation. Brain stimulation. 7(2). e11–e12. 4 indexed citations

10.

Phillips, Matthew E., Michael C. Avery, Jeffrey L. Krichmar, & Rajan Bhattacharyya. (2013). Top-Down Executive Control Drives Reticular-Thalamic Inhibition and Relays Cortical Information in a Large-Scale Neurocognitive Model.. The Florida AI Research Society. 3 indexed citations

11.

Phillips, Matthew E., Robert N. S. Sachdev, David C. Willhite, & Gordon M. Shepherd. (2012). Respiration Drives Network Activity and Modulates Synaptic and Circuit Processing of Lateral Inhibition in the Olfactory Bulb. Journal of Neuroscience. 32(1). 85–98. 59 indexed citations

12.

Kim, David H., et al.. (2011). Lateral Connectivity in the Olfactory Bulb is Sparse and Segregated. Frontiers in Neural Circuits. 5. 5–5. 34 indexed citations

13.

Phillips, Matthew E., et al.. (2011). Olfactory and Visuospatial Learning and Memory Performance in Two Strains of Alzheimer's Disease Model Mice—A Longitudinal Study. PLoS ONE. 6(5). e19567–e19567. 32 indexed citations

14.

Paveliev, Mikhail, et al.. (2007). Neurotrophic factors switch between two signaling pathways that trigger axonal growth. Journal of Cell Science. 120(15). 2507–2516. 14 indexed citations

15.

Phillips, Matthew E., et al.. (1994). The Use of Ubiquitin as a Marker of Thyroxine-Induced Apoptosis in Cultured Rana catesbeiana Tail Tips. General and Comparative Endocrinology. 95(3). 409–415. 18 indexed citations

16.

Phillips, Matthew E. & Andrew J. Taylor. (1992). Effect of colcemid on the water permeability response to vasopressin in isolated perfused rabbit collecting tubules.. The Journal of Physiology. 456(1). 591–608. 23 indexed citations

17.

Phillips, Matthew E. & Andrew J. Taylor. (1989). Effect of nocodazole on the water permeability response to vasopressin in rabbit collecting tubules perfused in vitro.. The Journal of Physiology. 411(1). 529–544. 31 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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