Jennifer Ronesi
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms
- Sleep and Wakefulness Research
- Neural dynamics and brain function
Papers in
-
- Neuroscience and Neuropharmacology Research 10
- Neurotransmitter Receptor Influence on Behavior 7
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- Cannabis and Cannabinoid Research 5
- Co-authors
- David M. LovingerGregory L. GerdemanKimberly M. HuberBrad E. PfeifferE. D. NosyrevaMaggie W. WaungHenry H. YinTatiana Tkatch
- Journals
- Journal of Neuroscience (5 papers)Neuron (2 papers)Nature Neuroscience (2 papers)The Journal of Physiology (1 paper)Science Signaling (1 paper)
- Partner nations
- United States
In The Last Decade
Jennifer Ronesi
13 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 1.9k
- Cognitive Neuroscience 829
- Pharmacology 698
- Developmental Neuroscience 99
- Biological Psychiatry 40
Countries citing papers authored by Jennifer Ronesi
This map shows the geographic impact of Jennifer Ronesi'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 Jennifer Ronesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Ronesi more than expected).
Fields of papers citing papers by Jennifer Ronesi
This network shows the impact of papers produced by Jennifer Ronesi. 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 Jennifer Ronesi. The network helps show where Jennifer Ronesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Ronesi, 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 | 2012 | 203 | |
| 2 | 2008 | 205 | |
| 3 | 2008 | 395 | |
| 4 | 2008 | 84 | |
| 5 | 2007 | 141 | |
| 6 | 2006 | 400 | |
| 7 | 2006 | 75 | |
| 8 | 2004 | 80 | |
| 9 | 2004 | 178 | |
| 10 | 2003 | 74 | |
| 11 | Postsynaptic endocannabinoid release is critical to long-term depression in the striatum Hit paper breakdown → | 2002 | 567 |
| 12 | 2002 | 32 | |
| 13 | 2002 | 96 |
About Jennifer Ronesi
Jennifer Ronesi is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Developmental Neuroscience, Genetics and Cognitive Neuroscience, having authored 13 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Cannabis and Cannabinoid Research (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Receptor Mechanisms and Signaling (3 papers), interferon and immune responses (1 paper), Mitochondrial Function and Pathology (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cognitive Neuroscience (829 citations), Pharmacology (698 citations), Developmental Neuroscience (99 citations) and Biological Psychiatry (40 citations). Jennifer Ronesi has collaborated with scholars based in United States. Frequent co-authors include David M. Lovinger, Gregory L. Gerdeman, Kimberly M. Huber, Brad E. Pfeiffer, E. D. Nosyreva, Maggie W. Waung, Henry H. Yin, Tatiana Tkatch, Zhongfeng Wang and D. James Surmeier. Their work appears in journals such as Journal of Neuroscience, Neuron, Nature Neuroscience, The Journal of Physiology and Science Signaling.
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.