S. Pretel
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
-
- Neuroscience and Neuropharmacology Research 11
- Neuropeptides and Animal Physiology 3
-
- Ion channel regulation and function 3
- Receptor Mechanisms and Signaling 3
- Co-authors
- Diane T. Piekut (13 shared papers)Craig D. Applegate (8 shared papers)Qi Sun (1 shared paper)E. Carstens (2 shared papers)M. J. Guinan (2 shared papers)Dan Goldowitz (2 shared papers)Wayne N. Frankel (1 shared paper)Barbara Beyer (1 shared paper)
- Journals
- Brain Research (3 papers)Peptides (3 papers)Neuroscience (1 paper)Journal of Neuroscience (1 paper)Hippocampus (1 paper)
- Partner nations
- United States
In The Last Decade
S. Pretel
20 papers receiving 366 citations
Peers
Comparison fields: 5 of 54
- Behavioral Neuroscience 77
- Cellular and Molecular Neuroscience 206
- Endocrine and Autonomic Systems 64
- Developmental Neuroscience 26
- Social Psychology 94
Countries citing papers authored by S. Pretel
This map shows the geographic impact of S. Pretel'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 S. Pretel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Pretel more than expected).
Fields of papers citing papers by S. Pretel
This network shows the impact of papers produced by S. Pretel. 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 S. Pretel. The network helps show where S. Pretel may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Pretel, 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 | 2004 | 53 | |
| 2 | 1990 | 38 | |
| 3 | 1997 | 36 | |
| 4 | 1996 | 28 | |
| 5 | 1991 | 28 | |
| 6 | 2005 | 28 | |
| 7 | 1996 | 24 | |
| 8 | 1995 | 20 | |
| 9 | 1996 | 16 | |
| 10 | 1991 | 16 | |
| 11 | 1988 | 13 | |
| 12 | Mediation of changes in paraventricular vasopressin and oxytocin mRNA content to the medullary vagal complex and spinal cord of the rat. | 1990 | 12 |
| 13 | 1990 | 11 | |
| 14 | 1989 | 10 | |
| 15 | 1988 | 9 | |
| 16 | 1995 | 8 | |
| 17 | 1995 | 6 | |
| 18 | 2004 | 5 | |
| 19 | 1988 | 5 | |
| 20 | 1996 | 2 |
About S. Pretel
S. Pretel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Behavioral Neuroscience and Physiology, having authored 20 papers that have together received 368 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neuroendocrine regulation and behavior (6 papers), Stress Responses and Cortisol (5 papers), Pain Mechanisms and Treatments (4 papers), Ion channel regulation and function (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroscience of respiration and sleep (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Behavioral Neuroscience (77 citations), Cellular and Molecular Neuroscience (206 citations), Endocrine and Autonomic Systems (64 citations), Developmental Neuroscience (26 citations) and Social Psychology (94 citations). S. Pretel has collaborated with scholars based in United States. Frequent co-authors include Diane T. Piekut, Craig D. Applegate, Qi Sun, E. Carstens, M. J. Guinan, Dan Goldowitz, Wayne N. Frankel, Barbara Beyer, Steven J. Siegel and Warren A. Kibbe. Their work appears in journals such as Brain Research, Peptides, Neuroscience, Journal of Neuroscience and Hippocampus.
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.