Michael Murphy

7.2k total citations
57 papers, 4.1k citations indexed

About

Michael Murphy is a scholar working on Cognitive Neuroscience, Molecular Biology and General Health Professions. According to data from OpenAlex, Michael Murphy has authored 57 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 9 papers in Molecular Biology and 8 papers in General Health Professions. Recurrent topics in Michael Murphy's work include Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (12 papers) and Functional Brain Connectivity Studies (11 papers). Michael Murphy is often cited by papers focused on Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (12 papers) and Functional Brain Connectivity Studies (11 papers). Michael Murphy collaborates with scholars based in United States, Australia and Italy. Michael Murphy's co-authors include Giulio Tononi, Brady A. Riedner, Marcello Massimini, Reto Huber, Fabio Ferrarelli, Frederick W. Alt, Sonia Franco, Steve K. Esser, Michael J. Peterson and John Manis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Michael Murphy

52 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Murphy United States 26 2.2k 1.1k 592 507 457 57 4.1k
Nancy L. Sicotte United States 37 1.6k 0.8× 428 0.4× 401 0.7× 271 0.5× 390 0.9× 78 5.4k
Gene V. Wallenstein United States 33 1.8k 0.8× 501 0.5× 422 0.7× 1.2k 2.3× 1.0k 2.3× 81 7.7k
James C. Lynch United States 37 2.1k 1.0× 831 0.8× 161 0.3× 629 1.2× 332 0.7× 73 5.2k
Paulina Due‐Tønnessen Norway 38 2.0k 0.9× 312 0.3× 358 0.6× 215 0.4× 261 0.6× 80 5.1k
Anne‐Marie Landtblom Sweden 36 627 0.3× 312 0.3× 306 0.5× 216 0.4× 235 0.5× 152 3.5k
Prashni Paliwal United States 26 416 0.2× 449 0.4× 361 0.6× 776 1.5× 491 1.1× 38 3.3k
Ian Law Denmark 46 1.8k 0.9× 366 0.3× 371 0.6× 201 0.4× 378 0.8× 226 7.1k
Valentina Tomassini Italy 34 1.5k 0.7× 353 0.3× 110 0.2× 335 0.7× 273 0.6× 90 4.6k
Pam Smith United Kingdom 28 1.3k 0.6× 552 0.5× 371 0.6× 162 0.3× 248 0.5× 95 5.7k
Melanie A. Carless United States 28 550 0.3× 1.0k 1.0× 143 0.2× 229 0.5× 124 0.3× 81 2.7k

Countries citing papers authored by Michael Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Michael Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Murphy. A scholar is included among the top collaborators of Michael Murphy 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 Michael Murphy. Michael Murphy 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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Murphy, Michael, Ricardo E. Carrión, José M. Rubio, & Anil K. Malhotra. (2024). Peak alpha frequency and electroencephalographic microstates are correlated with aggression in schizophrenia. Journal of Psychiatric Research. 175. 60–67.
4.
Hadjesfandiari, Narges, Katherine Serrano, Vilte Barakauskas, et al.. (2024). Measurement of lead, mercury, and cadmium in blood donors in Canada. Transfusion. 64(7). 1243–1253. 1 indexed citations
5.
Wang, Jun, Nataliia Kozhemiako, Zhenglin Guo, et al.. (2023). F95. GENETIC CORRELATES OF SLEEP SPINDLE ABNORMALITIES IN SCHIZOPHRENIA. European Neuropsychopharmacology. 75. S271–S272. 1 indexed citations
6.
Murphy, Michael, et al.. (2022). WellSpace: Peer‐led groups for first‐episode psychosis before and during the COVID era. Early Intervention in Psychiatry. 16(10). 1152–1158. 2 indexed citations
7.
Murphy, Michael & Döst Öngür. (2022). Thought disorder is correlated with atypical spoken binomial orderings. SHILAP Revista de lepidopterología. 8(1). 25–25. 1 indexed citations
8.
Murphy, Michael & Döst Öngür. (2020). EEG microstate sequences suggest abnormally chaotic brain dynamics in psychosis. Neuropsychopharmacology. 46(1). 223–224. 5 indexed citations
9.
Murphy, Michael, Alexis E. Whitton, Manon L. Ironside, et al.. (2020). Abnormalities in electroencephalographic microstates are state and trait markers of major depressive disorder. Neuropsychopharmacology. 45(12). 2030–2037. 103 indexed citations
10.
Murphy, Michael & Döst Öngür. (2019). Decreased peak alpha frequency and impaired visual evoked potentials in first episode psychosis. NeuroImage Clinical. 22. 101693–101693. 45 indexed citations
11.
Murphy, Michael, Robert Stickgold, & Döst Öngür. (2019). Electroencephalogram Microstate Abnormalities in Early-Course Psychosis. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(1). 35–44. 53 indexed citations
12.
Herrmann, Nicholas P., et al.. (2016). Pellagra in the Mississippi State Asylum: An examination of differential survivorship. 1 indexed citations
13.
Murphy, Michael, Marie‐Aurélie Bruno, Brady A. Riedner, et al.. (2011). Propofol Anesthesia and Sleep: A High-Density EEG Study. SLEEP. 34(3). 283–291. 289 indexed citations
14.
Langheim, Frederick J. P., Michael Murphy, Brady A. Riedner, & Giulio Tononi. (2011). Functional connectivity in slow-wave sleep: identification of synchronous cortical activity during wakefulness and sleep using time series analysis of electroencephalographic data. Journal of Sleep Research. 20(4). 496–505. 14 indexed citations
15.
Franco, Sonia, et al.. (2008). DNA-PKcs and Artemis function in the end-joining phase of immunoglobulin heavy chain class switch recombination. The Journal of Experimental Medicine. 205(3). 557–564. 78 indexed citations
16.
Wang, Jing, Frederick W. Alt, Monica Gostissa, et al.. (2008). Oncogenic transformation in the absence of Xrcc4 targets peripheral B cells that have undergone editing and switching. The Journal of Experimental Medicine. 205(13). 3079–3090. 58 indexed citations
17.
Yan, Catherine T., Cristian Boboilă, Sonia Franco, et al.. (2007). IgH class switching and translocations use a robust non-classical end-joining pathway. Nature. 449(7161). 478–482. 450 indexed citations
18.
Ferrarelli, Fabio, Reto Huber, Michael J. Peterson, et al.. (2007). Reduced Sleep Spindle Activity in Schizophrenia Patients. American Journal of Psychiatry. 164(3). 483–492. 392 indexed citations
19.
Chua, Katrin F., Raúl Mostoslavsky, David B. Lombard, et al.. (2005). Mammalian SIRT1 limits replicative life span in response to chronic genotoxic stress. Cell Metabolism. 2(1). 67–76. 203 indexed citations
20.
Signoretti, Sabina, Michael Murphy, Pietro Puddu, et al.. (1999). Clonality of Cutaneous B-Cell Infiltrates Determined by Microdissection and Immunoglobulin Gene Rearrangement. Diagnostic Molecular Pathology. 8(4). 176–182. 10 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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