Michael B. Dash
Impact in
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- Circadian rhythm and melatonin
- Neuroscience of respiration and sleep
- Cognitive Neuroscience top 10%
- Sleep and Wakefulness Research
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
Papers in
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- Sleep and Wakefulness Research 7
- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 2
- Memory and Neural Mechanisms 1
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- Neuroscience and Neuropharmacology Research 7
- Photoreceptor and optogenetics research 2
- Co-authors
- Giulio Tononi (3 shared papers)Chiara Cirelli (3 shared papers)Vladyslav V. Vyazovskiy (1 shared paper)Christopher L. Douglas (1 shared paper)Michele Bellesi (1 shared paper)Eri Murata (1 shared paper)Donna L. Korol (1 shared paper)Paul E. Gold (1 shared paper)
- Journals
- SLEEP (3 papers)Neurobiology of Learning and Memory (1 paper)Hippocampus (1 paper)Journal of Neuroscience (1 paper)eNeuro (1 paper)
- Partner nations
- United States
In The Last Decade
Michael B. Dash
9 papers receiving 318 citations
Peers
Comparison fields: 5 of 55
- Endocrine and Autonomic Systems 107
- Cognitive Neuroscience 240
- Cellular and Molecular Neuroscience 150
- Experimental and Cognitive Psychology 67
- Developmental Neuroscience 14
Countries citing papers authored by Michael B. Dash
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
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-authors
The 8 scholars most cited alongside Michael B. Dash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 212 | |
| 2 | 2012 | 46 | |
| 3 | 2012 | 35 | |
| 4 | 2018 | 10 | |
| 5 | 2020 | 9 | |
| 6 | 2021 | 5 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2020 | 2 |
About Michael B. Dash
Michael B. Dash is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Infectious Diseases, having authored 9 papers that have together received 323 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (2 papers), Photoreceptor and optogenetics research (2 papers), Memory and Neural Mechanisms (1 paper), Mitochondrial Function and Pathology (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (107 citations), Cognitive Neuroscience (240 citations), Cellular and Molecular Neuroscience (150 citations), Experimental and Cognitive Psychology (67 citations) and Developmental Neuroscience (14 citations). Michael B. Dash has collaborated with scholars based in United States. Frequent co-authors include Giulio Tononi, Chiara Cirelli, Vladyslav V. Vyazovskiy, Christopher L. Douglas, Michele Bellesi, Eri Murata, Donna L. Korol and Paul E. Gold. Their work appears in journals such as SLEEP, Neurobiology of Learning and Memory, Hippocampus, Journal of Neuroscience and eNeuro.
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.