Dani R. Smith
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Neuroscience and Neuropharmacology Research 6
- Nuclear Receptors and Signaling 3
-
- Memory and Neural Mechanisms 7
- Co-authors
- Michela Gallagher (7 shared papers)P. Kay Lund (3 shared papers)Mark E. Stanton (1 shared paper)Alexander W. Johnson (4 shared papers)Shilpa D. Kadam (3 shared papers)Anne M. Comi (3 shared papers)Gina Pete (1 shared paper)C. Randall Fuller (1 shared paper)
- Journals
- Behavioural Brain Research (3 papers)Epilepsy & Behavior (1 paper)Neuroscience Research (1 paper)Experimental Gerontology (1 paper)Schizophrenia Research (1 paper)
- Partner nations
- United StatesMalaysiaSouth Korea
In The Last Decade
Dani R. Smith
16 papers receiving 355 citations
Peers
Comparison fields: 5 of 62
- Biological Psychiatry 34
- Behavioral Neuroscience 39
- Developmental Neuroscience 41
- Cellular and Molecular Neuroscience 120
- Neurology 49
Countries citing papers authored by Dani R. Smith
This map shows the geographic impact of Dani R. Smith'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 Dani R. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dani R. Smith more than expected).
Fields of papers citing papers by Dani R. Smith
This network shows the impact of papers produced by Dani R. Smith. 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 Dani R. Smith. The network helps show where Dani R. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Dani R. Smith, 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 | 1999 | 66 | |
| 2 | 2007 | 41 | |
| 3 | 2016 | 37 | |
| 4 | 2013 | 30 | |
| 5 | 2001 | 28 | |
| 6 | 2011 | 22 | |
| 7 | 2010 | 19 | |
| 8 | 2013 | 19 | |
| 9 | 2008 | 18 | |
| 10 | 2004 | 17 | |
| 11 | 2016 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2009 | 14 | |
| 14 | 2011 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2013 | 3 |
About Dani R. Smith
Dani R. Smith is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Behavioral Neuroscience, having authored 16 papers that have together received 362 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Nuclear Receptors and Signaling (3 papers), Stress Responses and Cortisol (3 papers), Neuroendocrine regulation and behavior (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Behavioral Neuroscience (39 citations), Developmental Neuroscience (41 citations), Cellular and Molecular Neuroscience (120 citations) and Neurology (49 citations). Dani R. Smith has collaborated with scholars based in United States, Malaysia and South Korea. Frequent co-authors include Michela Gallagher, P. Kay Lund, Mark E. Stanton, Alexander W. Johnson, Shilpa D. Kadam, Anne M. Comi, Gina Pete, C. Randall Fuller, Jenny M. Oldham and Ming Teng Koh. Their work appears in journals such as Behavioural Brain Research, Epilepsy & Behavior, Neuroscience Research, Experimental Gerontology and Schizophrenia Research.
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.