Donard S. Dwyer
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 17
- Biological Psychiatry top 2%
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- Neuroscience and Neuropharmacology Research 16
- Neurology top 5%
- Myasthenia Gravis and Thymoma 9
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- Circadian rhythm and melatonin 10
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- Ion channel regulation and function 12
- Receptor Mechanisms and Signaling 11
- Metabolism, Diabetes, and Cancer 10
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- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Ronald J. BradleyXiao‐Hong LuSusan J. VannucciIan A. SimpsonEric J. AamodtDallas R. DonohoeJohn F. KearneyKelle H. Moley
- Journals
- Nature (1 paper)Journal of Biological Chemistry (3 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Donard S. Dwyer
96 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 132
- Aging 207
- Biological Psychiatry 191
- Cellular and Molecular Neuroscience 669
- Neurology 437
- Endocrine and Autonomic Systems 170
Countries citing papers authored by Donard S. Dwyer
This map shows the geographic impact of Donard S. Dwyer'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 Donard S. Dwyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donard S. Dwyer more than expected).
Fields of papers citing papers by Donard S. Dwyer
This network shows the impact of papers produced by Donard S. Dwyer. 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 Donard S. Dwyer. The network helps show where Donard S. Dwyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donard S. Dwyer, 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 | 2018 | 12 | |
| 2 | 2017 | 20 | |
| 3 | 2015 | 22 | |
| 4 | 2012 | 39 | |
| 5 | Antipsychotic drugs: Comparison in animal models of efficacy, neurotransmitter regulation, and neuroprotection (Pharmacological Reviews (2002) 60, (358-403)) | 2008 | 18 |
| 6 | 2008 | 8 | |
| 7 | 2007 | 0 | |
| 8 | 2006 | 38 | |
| 9 | 2005 | 46 | |
| 10 | 2003 | 5 | |
| 11 | Glucose metabolism in the brain | 2002 | 30 |
| 12 | 2002 | 59 | |
| 13 | 1998 | 22 | |
| 14 | 1998 | 11 | |
| 15 | 1996 | 14 | |
| 16 | 1995 | 15 | |
| 17 | 1993 | 5 | |
| 18 | 1990 | 1 | |
| 19 | 1990 | 4 | |
| 20 | 1987 | 5 |
About Donard S. Dwyer
Donard S. Dwyer is a scholar working on Aging, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 99 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Neuroscience and Neuropharmacology Research (16 papers), Ion channel regulation and function (12 papers), Receptor Mechanisms and Signaling (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Circadian rhythm and melatonin (10 papers) and Myasthenia Gravis and Thymoma (9 papers). The work is most often cited by research in Aging (207 citations), Biological Psychiatry (191 citations) and Cellular and Molecular Neuroscience (669 citations). Donard S. Dwyer has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Ronald J. Bradley, Xiao‐Hong Lu, Susan J. Vannucci, Ian A. Simpson, Eric J. Aamodt, Dallas R. Donohoe, John F. Kearney, Kelle H. Moley, Alexander J. Travis and Daniela Malide. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental 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.