Michael B. Dash

423 total citations
9 papers, 323 citations indexed

About

Michael B. Dash is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Michael B. Dash has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Michael B. Dash's work include Sleep and Wakefulness Research (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neural dynamics and brain function (6 papers). Michael B. Dash is often cited by papers focused on Sleep and Wakefulness Research (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neural dynamics and brain function (6 papers). Michael B. Dash collaborates with scholars based in United States. Michael B. Dash's co-authors include Giulio Tononi, Chiara Cirelli, Christopher L. Douglas, Vladyslav V. Vyazovskiy, Michele Bellesi, Paul E. Gold, Eri Murata and Donna L. Korol and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurochemistry and SLEEP.

In The Last Decade

Michael B. Dash

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael B. Dash United States	6	240	150	107	67	50	9	323
Valeria Colavito Italy	9	208 0.9×	93 0.6×	125 1.2×	73 1.1×	49 1.0×	12	330
Romain Cardis Switzerland	9	391 1.6×	208 1.4×	118 1.1×	109 1.6×	33 0.7×	12	477
Jessica K. Shaw United States	7	221 0.9×	253 1.7×	111 1.0×	85 1.3×	32 0.6×	13	447
Zeke Barger United States	8	173 0.7×	117 0.8×	105 1.0×	52 0.8×	25 0.5×	10	310
Akiyo Natsubori Japan	9	171 0.7×	152 1.0×	136 1.3×	42 0.6×	47 0.9×	19	335
William C. Clegern United States	11	261 1.1×	100 0.7×	177 1.7×	117 1.7×	47 0.9×	13	417
Bradley D. Winters United States	9	204 0.8×	138 0.9×	114 1.1×	88 1.3×	30 0.6×	12	360
Janneke C. Zant Finland	8	279 1.2×	144 1.0×	143 1.3×	82 1.2×	25 0.5×	9	349
Mika Kanuka Japan	7	208 0.9×	84 0.6×	170 1.6×	86 1.3×	29 0.6×	10	266
Charu Shukla United States	9	162 0.7×	96 0.6×	94 0.9×	48 0.7×	110 2.2×	9	340

Countries citing papers authored by Michael B. Dash

Since Specialization

Citations

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

Fields of papers citing papers by Michael B. Dash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael B. Dash

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

All Works

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9 of 9 papers shown

1.

Dash, Michael B., et al.. (2021). An artificial neural network for automated behavioral state classification in rats. PeerJ. 9. e12127–e12127. 5 indexed citations

2.

Murata, Eri, et al.. (2020). Persistent changes in extracellular lactate dynamics following synaptic potentiation. Neurobiology of Learning and Memory. 175. 107314–107314. 9 indexed citations

3.

Dash, Michael B., et al.. (2020). Interindividual differences in memory system local field potential activity predict behavioral strategy on a dual‐solution T‐maze. Hippocampus. 30(12). 1313–1326. 2 indexed citations

4.

Dash, Michael B., et al.. (2019). Cortical zeta-inhibitory peptide injection reduces local sleep need. SLEEP. 42(5). 2 indexed citations

5.

Dash, Michael B.. (2019). Infraslow coordination of slow wave activity through altered neuronal synchrony. SLEEP. 42(12). 2 indexed citations

6.

Dash, Michael B., et al.. (2018). Spontaneous Infraslow Fluctuations Modulate Hippocampal EPSP-PS Coupling. eNeuro. 5(1). ENEURO.0403–17.2017. 10 indexed citations

7.

Dash, Michael B., Giulio Tononi, & Chiara Cirelli. (2012). Extracellular Levels of Lactate, but Not Oxygen, Reflect Sleep Homeostasis in the Rat Cerebral Cortex. SLEEP. 35(7). 909–919. 46 indexed citations

8.

Dash, Michael B., Michele Bellesi, Giulio Tononi, & Chiara Cirelli. (2012). Sleep/wake dependent changes in cortical glucose concentrations. Journal of Neurochemistry. 124(1). 79–89. 35 indexed citations

9.

Dash, Michael B., Christopher L. Douglas, Vladyslav V. Vyazovskiy, Chiara Cirelli, & Giulio Tononi. (2009). Long-Term Homeostasis of Extracellular Glutamate in the Rat Cerebral Cortex across Sleep and Waking States. Journal of Neuroscience. 29(3). 620–629. 212 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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