Jon R. Fee
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Biological Psychiatry top 10%
Papers in
-
- Neuropeptides and Animal Physiology 8
- Neurotransmitter Receptor Influence on Behavior 4
- Neuroscience and Neuropharmacology Research 2
-
- Receptor Mechanisms and Signaling 7
- Co-authors
- Todd E. Thiele (13 shared papers)Dennis R. Sparta (12 shared papers)Darin J. Knapp (10 shared papers)George R. Breese (5 shared papers)Dayna M. Hayes (4 shared papers)Inmaculada Cubero (3 shared papers)Montserrat Navarro (3 shared papers)Angela M. Sparrow (2 shared papers)
- Journals
- Alcoholism Clinical and Experimental Research (4 papers)Neuropeptides (2 papers)Neuroscience (2 papers)Drug and Alcohol Dependence (1 paper)Journal of Inorganic Biochemistry (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Jon R. Fee
14 papers receiving 396 citations
Peers
Comparison fields: 5 of 53
- Behavioral Neuroscience 98
- Biological Psychiatry 47
- Endocrine and Autonomic Systems 114
- Cellular and Molecular Neuroscience 237
- Physiology 120
Countries citing papers authored by Jon R. Fee
This map shows the geographic impact of Jon R. Fee'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 Jon R. Fee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon R. Fee more than expected).
Fields of papers citing papers by Jon R. Fee
This network shows the impact of papers produced by Jon R. Fee. 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 Jon R. Fee. The network helps show where Jon R. Fee may publish in the future.
Co-authors
The 17 scholars most cited alongside Jon R. Fee, 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 | 2007 | 89 | |
| 2 | 2003 | 69 | |
| 3 | 2004 | 43 | |
| 4 | 2004 | 38 | |
| 5 | 2008 | 35 | |
| 6 | 2004 | 29 | |
| 7 | 2007 | 19 | |
| 8 | 2005 | 17 | |
| 9 | 2003 | 17 | |
| 10 | 2011 | 16 | |
| 11 | 2007 | 14 | |
| 12 | 2006 | 9 | |
| 13 | 1999 | 9 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 0 |
About Jon R. Fee
Jon R. Fee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Behavioral Neuroscience and Physiology, having authored 15 papers that have together received 405 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (7 papers), Regulation of Appetite and Obesity (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Stress Responses and Cortisol (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Adipose Tissue and Metabolism (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (98 citations), Biological Psychiatry (47 citations), Endocrine and Autonomic Systems (114 citations), Cellular and Molecular Neuroscience (237 citations) and Physiology (120 citations). Jon R. Fee has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Todd E. Thiele, Dennis R. Sparta, Darin J. Knapp, George R. Breese, Dayna M. Hayes, Inmaculada Cubero, Montserrat Navarro, Angela M. Sparrow, Emily G. Lowery and Mitchell J. Picker. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Neuropeptides, Neuroscience, Drug and Alcohol Dependence and Journal of Inorganic Biochemistry.
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.