Daniel R. Cleary
Impact in
- Aging top 5%
-
- Neuroscience and Neural Engineering
Papers in
-
- Neuroscience and Neural Engineering 11
- Neuropeptides and Animal Physiology 5
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- EEG and Brain-Computer Interfaces 9
- Neural dynamics and brain function 6
- Sleep and Wakefulness Research 3
- Co-authors
- Mary M. Heinricher (8 shared papers)Ahmed M. Raslan (7 shared papers)Shadi A. Dayeh (13 shared papers)Kim J. Burchiel (2 shared papers)Alp Ozpinar (1 shared paper)Andrew L. Ko (1 shared paper)Eric Halgren (7 shared papers)Justin S. Cetas (1 shared paper)
- Journals
- Neurosurgical FOCUS (4 papers)Neuroscience (3 papers)Advanced Functional Materials (3 papers)Journal of Neurophysiology (3 papers)Science Translational Medicine (3 papers)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Daniel R. Cleary
37 papers receiving 906 citations
Peers
Comparison fields: 5 of 94
- Aging 58
- Cellular and Molecular Neuroscience 461
- Cognitive Neuroscience 246
- Neurology 176
- Endocrine and Autonomic Systems 70
Countries citing papers authored by Daniel R. Cleary
This map shows the geographic impact of Daniel R. Cleary'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 Daniel R. Cleary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Cleary more than expected).
Fields of papers citing papers by Daniel R. Cleary
This network shows the impact of papers produced by Daniel R. Cleary. 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 Daniel R. Cleary. The network helps show where Daniel R. Cleary may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. Cleary, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 107 | |
| 2 | 2022 | 75 | |
| 3 | 2006 | 74 | |
| 4 | 2015 | 71 | |
| 5 | 2009 | 64 | |
| 6 | 2012 | 45 | |
| 7 | 2010 | 43 | |
| 8 | 2013 | 41 | |
| 9 | 2022 | 39 | |
| 10 | 2013 | 35 | |
| 11 | 2012 | 32 | |
| 12 | 2019 | 28 | |
| 13 | 2007 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2021 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2016 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2009 | 15 |
About Daniel R. Cleary
Daniel R. Cleary is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Physiology and Surgery, having authored 38 papers that have together received 916 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (6 papers), Pain Mechanisms and Treatments (5 papers), Neuropeptides and Animal Physiology (5 papers), Advanced Memory and Neural Computing (4 papers), Sleep and Wakefulness Research (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Aging (58 citations), Cellular and Molecular Neuroscience (461 citations), Cognitive Neuroscience (246 citations), Neurology (176 citations) and Endocrine and Autonomic Systems (70 citations). Daniel R. Cleary has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Mary M. Heinricher, Ahmed M. Raslan, Shadi A. Dayeh, Kim J. Burchiel, Alp Ozpinar, Andrew L. Ko, Eric Halgren, Justin S. Cetas, Jonathan D. Carlson and Joel R. Martin. Their work appears in journals such as Neurosurgical FOCUS, Neuroscience, Advanced Functional Materials, Journal of Neurophysiology and Science Translational Medicine.
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.