Keith R. Murphy

767 total citations
20 papers, 400 citations indexed

About

Keith R. Murphy is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Endocrine and Autonomic Systems. According to data from OpenAlex, Keith R. Murphy has authored 20 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Biomedical Engineering and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Keith R. Murphy's work include Neurobiology and Insect Physiology Research (7 papers), Ultrasound and Hyperthermia Applications (6 papers) and Circadian rhythm and melatonin (5 papers). Keith R. Murphy is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Ultrasound and Hyperthermia Applications (6 papers) and Circadian rhythm and melatonin (5 papers). Keith R. Murphy collaborates with scholars based in United States, Japan and Canada. Keith R. Murphy's co-authors include William W. Ja, Robert Huber, Seth M. Tomchik, Luı́s de Lecea, Scarlet J. Park, Alex C. Keene, Ken Dawson‐Scully, Kim Butts Pauly, Lanikea B. King and James P. Quinn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Keith R. Murphy

20 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith R. Murphy United States 12 159 105 75 68 63 20 400
Micheline Grillet France 8 213 1.3× 64 0.6× 12 0.2× 69 1.0× 72 1.1× 9 479
S. M. Slapnick United States 12 101 0.6× 28 0.3× 41 0.5× 220 3.2× 19 0.3× 16 606
Alakananda Das United States 5 41 0.3× 159 1.5× 21 0.3× 109 1.6× 71 1.1× 8 356
Jennifer Spaethling United States 12 320 2.0× 45 0.4× 134 1.8× 464 6.8× 11 0.2× 12 847
Yi‐Wen Hsieh United States 16 97 0.6× 13 0.1× 86 1.1× 297 4.4× 17 0.3× 32 564
Kiyoharu J. Miyagishima United States 11 138 0.9× 16 0.2× 25 0.3× 292 4.3× 37 0.6× 21 371
Burak Tepe United States 12 125 0.8× 17 0.2× 52 0.7× 249 3.7× 8 0.1× 16 538
Franziska Wagner Germany 11 175 1.1× 10 0.1× 25 0.3× 244 3.6× 21 0.3× 27 439
Paromita Majumder Brazil 14 99 0.6× 45 0.4× 56 0.7× 379 5.6× 18 0.3× 18 563
Sandeepa Dey United States 7 207 1.3× 36 0.3× 64 0.9× 47 0.7× 3 0.0× 10 437

Countries citing papers authored by Keith R. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Keith R. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith R. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Keith R. Murphy. A scholar is included among the top collaborators of Keith R. 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 Keith R. Murphy. Keith R. 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
1.
Murphy, Keith R., Tulika Nandi, Takahiro Osada, et al.. (2025). A practical guide to transcranial ultrasonic stimulation from the IFCN-endorsed ITRUSST consortium. Clinical Neurophysiology. 171. 192–226. 16 indexed citations
2.
Murphy, Keith R., Jordan S. Farrell, Anish Mitra, et al.. (2024). Optimized ultrasound neuromodulation for non-invasive control of behavior and physiology. Neuron. 112(19). 3252–3266.e5. 35 indexed citations
3.
Petersen, Erling N., Mahmud Arif Pavel, Manasa V. Gudheti, et al.. (2024). Mechanical activation of TWIK-related potassium channel by nanoscopic movement and rapid second messenger signaling. eLife. 12. 5 indexed citations
4.
Devine, Jaime K., et al.. (2024). Feasibility and acceptability of wearing a neuromodulation device at night in individuals in recovery from opioid use disorder. Frontiers in Psychiatry. 15. 1481795–1481795. 2 indexed citations
5.
Murphy, Keith R. & Luı́s de Lecea. (2023). Cell type specific focused ultrasound neuromodulation in preclinical models of sleep and psychiatric disorders. Neuropsychopharmacology. 49(1). 299–300. 5 indexed citations
6.
Angelakos, Christopher C., Kasey S. Girven, Yin Liu, et al.. (2023). A cluster of neuropeptide S neurons regulates breathing and arousal. Current Biology. 33(24). 5439–5455.e7. 8 indexed citations
7.
Yamaguchi, Hiroshi, et al.. (2023). Dorsomedial and preoptic hypothalamic circuits control torpor. Current Biology. 33(24). 5381–5389.e4. 9 indexed citations
8.
Ianni, Tommaso Di, et al.. (2023). High-throughput ultrasound neuromodulation in awake and freely behaving rats. Brain stimulation. 16(6). 1743–1752. 16 indexed citations
9.
Petersen, Erling N., Mahmud Arif Pavel, Manasa V. Gudheti, et al.. (2023). Mechanical activation of TWIK-related potassium channel by nanoscopic movement and rapid second messenger signaling. eLife. 12. 5 indexed citations
10.
11.
Murphy, Keith R., Jordan S. Farrell, Juan L. Gomez, et al.. (2022). A tool for monitoring cell type–specific focused ultrasound neuromodulation and control of chronic epilepsy. Proceedings of the National Academy of Sciences. 119(46). e2206828119–e2206828119. 59 indexed citations
12.
Brown, Elizabeth, Tamara Boto, Scarlet J. Park, et al.. (2021). Neurofibromin regulates metabolic rate via neuronal mechanisms in Drosophila. Nature Communications. 12(1). 4285–4285. 19 indexed citations
13.
Petersen, Erling N., Manasa V. Gudheti, Mahmud Arif Pavel, et al.. (2019). Lipid rafts transduce force to TREK‐1 channels via phospholipase D. The FASEB Journal. 33(S1). 3 indexed citations
14.
Petersen, Erling N., Cerrone Cabanos, Keith R. Murphy, et al.. (2018). A Molecular Target for an Alcohol Chain-Length Cutoff. Journal of Molecular Biology. 431(2). 196–209. 19 indexed citations
15.
Anreiter, Ina, Nicholas L.J. Chornenki, Keith R. Murphy, et al.. (2017). The adult foraging assay (AFA) detects strain and food-deprivation effects in feeding-related traits of Drosophila melanogaster. Journal of Insect Physiology. 106(Pt 1). 20–29. 24 indexed citations
16.
Murphy, Keith R., Scarlet J. Park, Robert Huber, & William W. Ja. (2017). Simultaneous measurement of sleep and feeding in individual Drosophila. Nature Protocols. 12(11). 2355–2359. 29 indexed citations
17.
Murphy, Keith R., Sonali A. Deshpande, Maria E. Yurgel, et al.. (2016). Postprandial sleep mechanics in Drosophila. eLife. 5. 71 indexed citations
18.
King, Lanikea B., et al.. (2016). Neurofibromin Loss of Function Drives Excessive Grooming in Drosophila. G3 Genes Genomes Genetics. 6(4). 1083–1093. 31 indexed citations
19.
O’Connor, Reed M., Matthew Ulgherait, Elizabeth F. Stone, et al.. (2015). period-Regulated Feeding Behavior and TOR Signaling Modulate Survival of Infection. Current Biology. 26(2). 184–194. 25 indexed citations
20.
Murphy, Keith R., et al.. (2012). The DNA binding and accumulation of p53 from breast cancer cell lines and the link with serine 15 phosphorylation. Cancer Biology & Therapy. 13(10). 848–857. 17 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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