Donna R. Ramirez
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
Papers in
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- Neurotransmitter Receptor Influence on Behavior 11
- Neuroscience and Neuropharmacology Research 10
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- Memory and Neural Mechanisms 13
- Co-authors
- Rita A. Fuchs (11 shared papers)Heather C. Lasseter (9 shared papers)Xiaohu Xie (8 shared papers)Guinevere H. Bell (3 shared papers)Lisa M. Savage (3 shared papers)Zu‐In Su (1 shared paper)Audrey M. Wells (1 shared paper)
- Journals
- European Journal of Neuroscience (4 papers)Psychopharmacology (2 papers)Behavioral Neuroscience (1 paper)Neuroscience (1 paper)Neurobiology of Learning and Memory (1 paper)
- Partner nations
- United States
In The Last Decade
Donna R. Ramirez
12 papers receiving 690 citations
Peers
Comparison fields: 5 of 47
- Cellular and Molecular Neuroscience 598
- Cognitive Neuroscience 441
- Behavioral Neuroscience 62
- Neurology 56
- Biological Psychiatry 16
Countries citing papers authored by Donna R. Ramirez
This map shows the geographic impact of Donna R. Ramirez'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 Donna R. Ramirez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna R. Ramirez more than expected).
Fields of papers citing papers by Donna R. Ramirez
This network shows the impact of papers produced by Donna R. Ramirez. 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 Donna R. Ramirez. The network helps show where Donna R. Ramirez may publish in the future.
Co-authors
The 7 scholars most cited alongside Donna R. Ramirez, 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 | 2008 | 107 | |
| 2 | 2009 | 77 | |
| 3 | 2010 | 73 | |
| 4 | 2009 | 71 | |
| 5 | 2008 | 69 | |
| 6 | 2009 | 64 | |
| 7 | 2009 | 56 | |
| 8 | 2009 | 53 | |
| 9 | 2011 | 49 | |
| 10 | 2007 | 43 | |
| 11 | 2005 | 22 | |
| 12 | 2007 | 11 | |
| 13 | 2021 | 0 | |
| 14 | 2021 | 0 |
About Donna R. Ramirez
Donna R. Ramirez is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Social Psychology and Behavioral Neuroscience, having authored 14 papers that have together received 695 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (13 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (3 papers), Stress Responses and Cortisol (2 papers), Neuroendocrine regulation and behavior (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (598 citations), Cognitive Neuroscience (441 citations), Behavioral Neuroscience (62 citations), Neurology (56 citations) and Biological Psychiatry (16 citations). Donna R. Ramirez has collaborated with scholars based in United States. Frequent co-authors include Rita A. Fuchs, Heather C. Lasseter, Xiaohu Xie, Guinevere H. Bell, Lisa M. Savage, Zu‐In Su and Audrey M. Wells. Their work appears in journals such as European Journal of Neuroscience, Psychopharmacology, Behavioral Neuroscience, Neuroscience and Neurobiology of Learning and Memory.
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.