D. Eugene Redmond
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 35
- Neurotransmitter Receptor Influence on Behavior 21
- Nerve injury and regeneration 19
- Neuropeptides and Animal Physiology 14
- Behavioral Neuroscience top 0.5%
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 15
- Biological Psychiatry top 1%
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 17
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- Pluripotent Stem Cells Research 16
- Receptor Mechanisms and Signaling 15
- Co-authors
- John D. ElsworthY.H. HuangR.H. RothRobert H. RothJane R. TaylorJohn R. SladekMarkS. GoldH D Kleber
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
D. Eugene Redmond
123 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cellular and Molecular Neuroscience 4.2k
- Behavioral Neuroscience 813
- Developmental Neuroscience 682
- Biological Psychiatry 413
- Neurology 1.2k
Countries citing papers authored by D. Eugene Redmond
This map shows the geographic impact of D. Eugene Redmond'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 D. Eugene Redmond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Eugene Redmond more than expected).
Fields of papers citing papers by D. Eugene Redmond
This network shows the impact of papers produced by D. Eugene Redmond. 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 D. Eugene Redmond. The network helps show where D. Eugene Redmond may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Eugene Redmond, 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 | 2019 | 6 | |
| 2 | 2018 | 6 | |
| 3 | 2014 | 56 | |
| 4 | 2013 | 98 | |
| 5 | 2013 | 16 | |
| 6 | 2012 | 59 | |
| 7 | 2008 | 73 | |
| 8 | 2003 | 18 | |
| 9 | 2002 | 99 | |
| 10 | 1999 | 154 | |
| 11 | 1996 | 33 | |
| 12 | 1992 | 382 | |
| 13 | 1991 | 32 | |
| 14 | 1991 | 19 | |
| 15 | 1990 | 32 | |
| 16 | 1989 | 115 | |
| 17 | 1988 | 119 | |
| 18 | 1988 | 129 | |
| 19 | 1987 | 49 | |
| 20 | 1975 | 39 |
About D. Eugene Redmond
D. Eugene Redmond is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology, Biological Psychiatry and Cognitive Neuroscience, having authored 124 papers that have together received 8.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (35 papers), Neurotransmitter Receptor Influence on Behavior (21 papers), Nerve injury and regeneration (19 papers), Parkinson's Disease Mechanisms and Treatments (17 papers), Pluripotent Stem Cells Research (16 papers), Receptor Mechanisms and Signaling (15 papers), Neurogenesis and neuroplasticity mechanisms (15 papers) and Neuropeptides and Animal Physiology (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.2k citations), Behavioral Neuroscience (813 citations), Developmental Neuroscience (682 citations), Biological Psychiatry (413 citations) and Neurology (1.2k citations). D. Eugene Redmond has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include John D. Elsworth, Y.H. Huang, R.H. Roth, Robert H. Roth, Jane R. Taylor, John R. Sladek, MarkS. Gold, H D Kleber, Steven Grant and Dennis S. Charney. Their work appears in journals such as Life Sciences, Brain Research, Cell Transplantation, Experimental Neurology and American Journal of Psychiatry.
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.